Python Jobs in Seattle.
All active Python roles based in Seattle.
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Principal Software Engineer (PaaS)
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.
As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.
We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.
What You’ll Do:
- Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
- Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
- Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
- Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
- Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
- Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
- Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.
Key Metrics:
- Platform availability and system performance
- Developer adoption and satisfaction
- Technical debt reduction and architectural clarity
- Engineering velocity and cross-team alignment
What You’ll Add to DigitalOcean:
- 11+ years of experience designing and building distributed systems at scale.
- Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
- Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
- Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.
Compensation Range:
- $227,040 - $283,800
*This is a remote role
JR: 2025-7225
#LI-Remote
#LI-SK1
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Principal Software Engineer (PaaS)
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.
As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.
We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.
What You’ll Do:
- Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
- Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
- Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
- Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
- Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
- Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
- Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.
Key Metrics:
- Platform availability and system performance
- Developer adoption and satisfaction
- Technical debt reduction and architectural clarity
- Engineering velocity and cross-team alignment
What You’ll Add to DigitalOcean:
- 11+ years of experience designing and building distributed systems at scale.
- Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
- Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
- Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.
Compensation Range:
- $227,040 - $283,800
*This is a remote role
JR: 2025-7225
#LI-Remote
#LI-SK1
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Principal Software Engineer (PaaS)
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.
As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.
We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.
What You’ll Do:
- Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
- Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
- Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
- Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
- Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
- Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
- Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.
Key Metrics:
- Platform availability and system performance
- Developer adoption and satisfaction
- Technical debt reduction and architectural clarity
- Engineering velocity and cross-team alignment
What You’ll Add to DigitalOcean:
- 11+ years of experience designing and building distributed systems at scale.
- Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
- Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
- Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.
Compensation Range:
- $227,040 - $283,800
*This is a remote role
JR: 2025-7225
#LI-Remote
#LI-SK1
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Principal Software Engineer (PaaS)
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.
As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.
We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.
What You’ll Do:
- Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
- Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
- Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
- Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
- Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
- Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
- Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.
Key Metrics:
- Platform availability and system performance
- Developer adoption and satisfaction
- Technical debt reduction and architectural clarity
- Engineering velocity and cross-team alignment
What You’ll Add to DigitalOcean:
- 11+ years of experience designing and building distributed systems at scale.
- Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
- Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
- Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.
Compensation Range:
- $227,040 - $283,800
*This is a hybrid role
JR: 2025-7225
#LI-Hybrid
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Principal Software Engineer (PaaS)
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.
As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.
We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.
What You’ll Do:
- Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
- Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
- Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
- Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
- Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
- Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
- Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.
Key Metrics:
- Platform availability and system performance
- Developer adoption and satisfaction
- Technical debt reduction and architectural clarity
- Engineering velocity and cross-team alignment
What You’ll Add to DigitalOcean:
- 11+ years of experience designing and building distributed systems at scale.
- Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
- Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
- Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.
Compensation Range:
- $227,040 - $283,800
*This is a remote role
JR: 2025-7225
#LI-Remote
#LI-SK1
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Staff Forward Deployed Engineer
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are looking for a Staff Forward Deployed Engineer who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.
As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.
You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" in production at scale and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.
What You’ll do:
- Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
- Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, reusable systems, benchmarking frameworks, model optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) that standardize how AI workloads are deployed and tuned across DigitalOcean.
- Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
- Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
- New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
- Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
- Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.
Key Metrics
- Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
- Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
- Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
- Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.
What You’ll Add to DigitalOcean:
- AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
- Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
- High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
- Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
- Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
- Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.
Preferred
- Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
- A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
- Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
- Active contributor to open-source AI projects or technical communities.
Compensation Range:
- $195,000 - $239,000
*This is a hybrid role
JR: 2026-7748
#LI-Hybrid
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Cloud Operations Administrator - II
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.
We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.
What You'll Be Doing:
- Ensuring maximum uptime for our global infrastructure
- Automating processes and building tools to improve operational efficiency
- Coordinating operational work across teams to improve the platform with minimal impact
What You'll Add to DigitalOcean:
- Solid experience with Linux operating systems or Networking and day to day upkeep
- Familiarity with virtualization technologies and troubleshooting virtual machine instances
- Familiarity with containerization technologies and troubleshooting containers
- Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
- Basic storage concepts and technologies
- Experience with monitoring systems and incident management
- Experience scripting in one or more of the following languages: Bash, Python, or Go
- Experience with GPU hardware or AI/ML, and Kubernetes
- A passion for good documentation and open communication
- Proven ability to learn!
Compensation Range:
- $107,000 - $134,000
*This is a hybrid role
JR: 2026-7423
#LI-Hybrid
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Site Reliability Engineer, Discovery
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE TEAM
The Discovery team at Anduril is at the forefront of incubating and maturing high-potential, software-defined, AI-native offerings that meet the toughest, newest challenges across hardware, software, space, and cyber domains. We're the architects of mission autonomy and mesh networking, delivering scalable hardware solutions that meet some of the most urgent national security needs. By working hand-in-hand with elite teams in Perception, AI, Motion Planning, Hardware, Test Engineering, Space, Networking, and Vehicle hardware, we craft cutting-edge, end-to-end systems that redefine mission success.
ABOUT THE JOB
As a site reliability engineer in Discovery, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve critical outcomes.
You’ll work closely with software, data, and operations engineers to get systems into the hands of customers, deployed and supported on real infrastructure, with real users.
Above all, Site Reliability Engineers must be driven by a “Whatever It Takes” mindset—executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound decisions to deliver successful outcomes on-time and with high quality.
WHAT YOU’LL DO
- Improve Anduril’s operational capabilities by improving our core product offering through root cause analysis and creating tooling capable of managing large scale deployments
- Drive continuous organizational improvement by leading post-mortem events involving diverse stakeholders
- Quickly diagnose and resolve system issues across cloud, robotics, and mesh networking architectures
- Lead the organization in building scalable, sustainable mechanisms to continue delivering to customers at the pace the business is scaling
- Design, develop, and deliver solutions using modern technologies that ensure scalable and fault tolerant delivery of systems to the warfighter
- Build strong relationships with internal and external customers to identify technical solutions to their problems
REQUIRED QUALIFICATIONS
- Currently possesses and is able to maintain an active U.S. Top Secret security clearance
- STEM degree or equivalent technical experience
- Technical expertise and demonstrated performance in one or more of the following areas: networking, cloud technologies, application development, hardware design, and/or cybersecurity
- Minimum of 5 years of operations and engineering experience
- Proficiency with IaC tools (Terraform, Ansible).
- Experience with cloud platforms (Azure, AWS, GCP).
- Proficiency in containerization (Docker) and container orchestration (Kubernetes).
- Ability to quickly understand and navigate complex systems and established code bases
- A desire to work on critical software that has a real-world impact
PREFERRED QUALIFICATIONS
- Ability to drive consensus across internal and external stakeholders
- Experience developing and delivering solution to evolving problems in complex environments
- Experience in the technical, programmatic, and operational challenges of developing and deploying autonomous weapon systems across command echelons
- Experience delivering and maintaining systems that run on air-gapped and security-hardened networks
- Experience building scalable solutions along with plans for implementation. Not just the end state, but what are the steps needed to get there while maintaining the customer experience
- Experience performing data-driven root cause analysis on complex systems
- Ability to understand, debug, and modify software written languages such as Go, Python, Rust, or C++
- Excellent written and verbal communication skills
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
-
No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
- Please always verify communications:
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
@anduril.comaddress. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
-
Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
-
What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.
Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Ready to apply?
Apply to Anduril Industries
Senior Security Engineer
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE TEAM
Anduril's Security Engineering team is looking for a security engineer to focus on building world class defensive controls to protect the infrastructure around our advanced defense technology products. This is a role with a direct focus on securing Anduril's OT (Operational Technology) and ICS (Industrial Control Systems) environments. In this role, you will design and implement foundational security solutions playing a critical role in Anduril's rollout of cutting edge factory systems.
ABOUT THE JOB
WHAT YOU’LL DO
- Lead OT risk assessments, gap analyses, and develop a multi-year OT security roadmap
- Architect and implement defensive security controls for cloud, production, and corporate environments
- Support the deployment, configuration, and maintenance of security tools
- Build systems to support automation, visibility, and threat detection for efforts across various information security and infrastructure teams
- Independently drive security initiatives and foster a security-first mindset across the organization
- Work closely with factory production teams to review designs and use-cases, ensuring our environments are secure by design
REQUIRED QUALIFICATIONS
- Experience with routing, switching, and network design principles
- Familiarity with zero trust architecture and segmentation strategies when it comes to OT networks
- Experience conducting security architecture or design reviews for OT/ICS environments
- Experience with threat modeling frameworks and applying these concepts to the OT/ICS domain (e.g. MITRE ATT&CK for ICS)
- Experience with programming in one or more general purpose languages (Python, Go, Rust, etc)
- Experience developing and implementing defensive controls in corporate and industrial production environments
- Ability to work autonomously and take ownership of complex projects
- Have participated in or supported incident response events
- Eligible to obtain and maintain an active U.S. Top Secret security clearance
- Ability to travel up to 50%
PREFERRED QUALIFICATIONS
- Familiarity with OT protocols (e.g., Modbus, DNP3, Ethernet/IP) and ICS environments
- Experience with specific ICS/SCADA vendor platforms (Siemens, Rockwell, Honeywell, etc.)
- Experience building bespoke solutions in high-growth high-complexity network environments
- Strong experience with Linux operating systems
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
-
No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
- Please always verify communications:
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
@anduril.comaddress. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
-
Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
-
What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.
Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Ready to apply?
Apply to Anduril Industries
Senior Security Engineer
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE TEAM
Anduril's Security Engineering team is looking for a security engineer to focus on building world class defensive controls to protect the infrastructure around our advanced defense technology products. This is a role with a direct focus on securing Anduril's OT (Operational Technology) and ICS (Industrial Control Systems) environments. In this role, you will design and implement foundational security solutions playing a critical role in Anduril's rollout of cutting edge factory systems.
ABOUT THE JOB
WHAT YOU’LL DO
- Lead OT risk assessments, gap analyses, and develop a multi-year OT security roadmap
- Architect and implement defensive security controls for cloud, production, and corporate environments
- Support the deployment, configuration, and maintenance of security tools
- Build systems to support automation, visibility, and threat detection for efforts across various information security and infrastructure teams
- Independently drive security initiatives and foster a security-first mindset across the organization
- Work closely with factory production teams to review designs and use-cases, ensuring our environments are secure by design
REQUIRED QUALIFICATIONS
- Experience with routing, switching, and network design principles
- Familiarity with zero trust architecture and segmentation strategies when it comes to OT networks
- Experience conducting security architecture or design reviews for OT/ICS environments
- Experience with threat modeling frameworks and applying these concepts to the OT/ICS domain (e.g. MITRE ATT&CK for ICS)
- Experience with programming in one or more general purpose languages (Python, Go, Rust, etc)
- Experience developing and implementing defensive controls in corporate and industrial production environments
- Ability to work autonomously and take ownership of complex projects
- Have participated in or supported incident response events
- Eligible to obtain and maintain an active U.S. Top Secret security clearance
- Ability to travel up to 50%
PREFERRED QUALIFICATIONS
- Familiarity with OT protocols (e.g., Modbus, DNP3, Ethernet/IP) and ICS environments
- Experience with specific ICS/SCADA vendor platforms (Siemens, Rockwell, Honeywell, etc.)
- Experience building bespoke solutions in high-growth high-complexity network environments
- Strong experience with Linux operating systems
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
-
No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
- Please always verify communications:
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
@anduril.comaddress. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
-
Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
-
What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.
Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Ready to apply?
Apply to Anduril Industries
Senior Security Engineer
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE TEAM
Anduril's Security Engineering team is looking for a security engineer to focus on building world class defensive controls to protect the infrastructure around our advanced defense technology products. This is a role with a direct focus on securing Anduril's OT (Operational Technology) and ICS (Industrial Control Systems) environments. In this role, you will design and implement foundational security solutions playing a critical role in Anduril's rollout of cutting edge factory systems.
ABOUT THE JOB
WHAT YOU’LL DO
- Lead OT risk assessments, gap analyses, and develop a multi-year OT security roadmap
- Architect and implement defensive security controls for cloud, production, and corporate environments
- Support the deployment, configuration, and maintenance of security tools
- Build systems to support automation, visibility, and threat detection for efforts across various information security and infrastructure teams
- Independently drive security initiatives and foster a security-first mindset across the organization
- Work closely with factory production teams to review designs and use-cases, ensuring our environments are secure by design
REQUIRED QUALIFICATIONS
- Experience with routing, switching, and network design principles
- Familiarity with zero trust architecture and segmentation strategies when it comes to OT networks
- Experience conducting security architecture or design reviews for OT/ICS environments
- Experience with threat modeling frameworks and applying these concepts to the OT/ICS domain (e.g. MITRE ATT&CK for ICS)
- Experience with programming in one or more general purpose languages (Python, Go, Rust, etc)
- Experience developing and implementing defensive controls in corporate and industrial production environments
- Ability to work autonomously and take ownership of complex projects
- Have participated in or supported incident response events
- Eligible to obtain and maintain an active U.S. Top Secret security clearance
- Ability to travel up to 50%
PREFERRED QUALIFICATIONS
- Familiarity with OT protocols (e.g., Modbus, DNP3, Ethernet/IP) and ICS environments
- Experience with specific ICS/SCADA vendor platforms (Siemens, Rockwell, Honeywell, etc.)
- Experience building bespoke solutions in high-growth high-complexity network environments
- Strong experience with Linux operating systems
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
-
No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
- Please always verify communications:
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
@anduril.comaddress. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
-
Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
-
What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.
Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Ready to apply?
Apply to Anduril Industries
Senior Security Engineer
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE TEAM
Anduril's Security Engineering team is looking for a security engineer to focus on building world class defensive controls to protect the infrastructure around our advanced defense technology products. This is a role with a direct focus on securing Anduril's OT (Operational Technology) and ICS (Industrial Control Systems) environments. In this role, you will design and implement foundational security solutions playing a critical role in Anduril's rollout of cutting edge factory systems.
ABOUT THE JOB
WHAT YOU’LL DO
- Lead OT risk assessments, gap analyses, and develop a multi-year OT security roadmap
- Architect and implement defensive security controls for cloud, production, and corporate environments
- Support the deployment, configuration, and maintenance of security tools
- Build systems to support automation, visibility, and threat detection for efforts across various information security and infrastructure teams
- Independently drive security initiatives and foster a security-first mindset across the organization
- Work closely with factory production teams to review designs and use-cases, ensuring our environments are secure by design
REQUIRED QUALIFICATIONS
- Experience with routing, switching, and network design principles
- Familiarity with zero trust architecture and segmentation strategies when it comes to OT networks
- Experience conducting security architecture or design reviews for OT/ICS environments
- Experience with threat modeling frameworks and applying these concepts to the OT/ICS domain (e.g. MITRE ATT&CK for ICS)
- Experience with programming in one or more general purpose languages (Python, Go, Rust, etc)
- Experience developing and implementing defensive controls in corporate and industrial production environments
- Ability to work autonomously and take ownership of complex projects
- Have participated in or supported incident response events
- Eligible to obtain and maintain an active U.S. Top Secret security clearance
- Ability to travel up to 50%
PREFERRED QUALIFICATIONS
- Familiarity with OT protocols (e.g., Modbus, DNP3, Ethernet/IP) and ICS environments
- Experience with specific ICS/SCADA vendor platforms (Siemens, Rockwell, Honeywell, etc.)
- Experience building bespoke solutions in high-growth high-complexity network environments
- Strong experience with Linux operating systems
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
-
No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
- Please always verify communications:
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
@anduril.comaddress. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
-
Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
-
What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.
Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Ready to apply?
Apply to Anduril Industries
Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The Role
Join us in revolutionizing the financial landscape. SoFi is seeking enthusiastic Senior Software Engineers who are ready to lead the development of key advancement to the next generation of our financial services platform.
Data Trust org leads the path for building platform services, and governance initiatives — from integrating diverse data sources into governance tools to evolving the foundational architecture that supports SoFi’s long-term growth
Data Trust’s charter includes
- Development and management of the Unified Data Catalog and Discovery Tools
- Ownership and other metadata associated with the Catalog
- Lineage and retention policies
- Data Quality Strategy and Standardization (Tiered Ownership, SLOs)
- Enforce regulatory compliance and privacy across data
- Data Governance enforcement and tooling (Data Contracts, RBAC mechanisms).
- Building self-service tools for Data Owners and Data Engineers.
What You’ll Do
As an emerging leader within our team, you will focus on building out the backend services for our next-generation metadata architecture. This role involves full product lifecycle engagement, from initial concept to deployment.
Key responsibilities for this role include:
- Implementing new capabilities, ensuring code quality, and delivering highly-available, scalable services.
- Success requires close technical collaboration with Product, Marketing, Operations, Business, Legal, and Compliance teams. You will be responsible for translating business requirements from these stakeholders into effective technical solutions that provide outstanding value to our members.
- Leading the technical evolution of one or more key platform subsystems.
- Expertly leverage existing solution patterns and understand when to differentiate resulting in well-structured, maintainable code.
- Ability to understand data models, APIs, scaling concerns, and failure modes in order to make effective trade-offs between maintainability and performance.
- Creating stability by writing meaningful tests, considering observability, and leveraging your ability to debug complex issues across multiple system layers.
- The ability to create clear design and operational documentation.
- Contributes to code reviews, is a role model for more junior engineers, and contributes to team efficiency, beyond personal output.
What You’ll Need
- Bachelor's or Master's degree in Computer Science, or Software Engineering
- 3+ years as a professional, full-time Software Engineer, or similar relevant work experience.
- Proficient coding in Java, Kotlin, Python or other similar object-oriented programming language.
- Proficient working with GIT and related CI/CD systems.
- Experience with public cloud compute, storage, and infrastructure.
- Experience with any data warehousing solution like Snowflake and IAC tools to provision platform infrastructure.
- Experience with Kafka, Docker, Kubernetes, and Spring Boot or similar frameworks.
- Deep understanding of relational and document database fundamentals.
- Deep understanding of fundamental distributed systems concepts.
Nice To Have
- Full-Stack experience in both back-end (Kafka, Redis, Docker) and front-end (JavaScript, TypeScript, React).
- Experience with microservices design principles and architecture.
- Experience with workflow orchestration technology (AWS step function, Airflow, Temporal).
- Experience working with Data Platforms
We're driven to push boundaries and deliver exceptional products to help our members achieve financial stability. If you have the passion and a commitment to customer success, we want to hear from you.
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Ready to apply?
Apply to SoFi
Lead Data Analyst, Growth Science
About the role
We’re hiring a Lead Data Analyst, Growth Science to use advanced science to estimate the incrementality of Marketing, Product, and Lifecycle Marketing and to improve their performance. As a senior individual contributor, you’ll lead high-impact growth initiatives through the use of media mix modeling, experimentation and quasi-experimentation, and predictive modeling. You will play a role in defining how we estimate incrementality and how we improve performance.
The base salary offered for this role and level of experience will begin at $152,000.00 and up to $210,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
In this role, you can expect to
- Partner with and support vendor developing of our media mix model
- Design, execute, and read out results of complex experiments and quasi-experiments not supported by our A/B testing vendor
- Develop predictive models to improve performance of Marketing, Product, and Lifecycle Marketing initiatives
- Partner with Marketing, Product, and Lifecycle Marketing, to drive business outcomes
- Mentor other analysts in our team on experimentation and statistics. Improve the team’s technical rigor
To thrive in this role, you have
- A strong orientation toward business impact — you ensure insights lead to measurable business results
- Demonstrated ability to influence senior stakeholders and guide strategic decisions in ambiguous, fast-moving environments
- PhD in statistics, economics, or similar social science with emphasis on quantitative methods
- 5+ years of experience in applied science roles, with deep expertise in predictive modeling and causal inference; Experience in FinTech and in Marketing strongly preferred
- Advanced skills in SQL and Python or R. Experience in use of AI to accelerate and improve end-to-end process
#LI-Hybrid #LI-AM1
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
- 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
- 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
- 💰 Competitive salary based on experience
- ✨ 401k match plus great medical, dental, vision, life, and disability benefits
- 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
- 🫂 1% of your time off to support local community organizations of your choice
- 👟 Annual wellness stipend to use towards eligible wellness related expenses
- 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
- 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
- 🎉 In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
- 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.
To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.
Ready to apply?
Apply to Chime Financial, Inc
Software Engineer, Financial Platform
About the role
We are looking for a Software Engineer to help build our new financial platform that is highly reliable, scalable, and will serve as the backbone for Chime. This platform will power the most important financial activities that millions of Chime members undertake every day. You will ensure that we build the highest levels of trust with our members by making our platform lightning-fast, available, secure, resilient and auditable. This is an exciting opportunity to be an invaluable member of a strategically important initiative for Chime.
The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
In this role, you can expect to
- Design, develop, test, and deploy components of a new financial platform
- Deliver secure, reliable, and high-performance infrastructure and APIs
- Work with our infrastructure engineering team to minimize the operational overhead of production systems you deploy
- Develop thoroughly tested code and conduct quality assurance on all new code alongside our QA team
- Learn and execute on agile methodologies, follow test driven development approach
- Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.
To thrive in this role, you have
- Must have experience in Go
- Experience in additional backend languages such as Ruby, Java and Python is preferred
- Have 4+ years of engineering experience
- Have contributed to the development of backend systems
- Experience in payment processing systems
- Take a rigorous approach to testing backed development
- Experience with AWS or other cloud platforms, Cloud Native technology, No-SQL Databases as a bonus!
- Have an understanding of architectural patterns of large, mission-critical production services as a bonus!
- Have worked in continuous integration/deployment environments as a bonus!
- Please note: If you are located in Seattle, you will be required to onboard in person at our SF HQ + occasional business travel.
#LI-Onsite #LI-GC1
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
- 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
- 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
- 💰 Competitive salary based on experience
- ✨ 401k match plus great medical, dental, vision, life, and disability benefits
- 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
- 🫂 1% of your time off to support local community organizations of your choice
- 👟 Annual wellness stipend to use towards eligible wellness related expenses
- 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
- 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
- 🎉 In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
- 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.
To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.
Ready to apply?
Apply to Chime Financial, Inc
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.
Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
Role Overview
What You Will do
- Design features and build large-scale machine learning models and systems to improve ad targeting, relevance, ranking, and engagement
- Design and implement large-scale ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery using state-of-the-art techniques such as transformer-based models, contrastive learning, and vector search
- Drive innovation in search relevance and user intent modeling using large language models (LLMs), embedding-based retrieval, and multi-modal learning
- Build and optimize ML pipelines using tools such as Apache Spark, Airflow, Kubeflow, and MLflow, ensuring reproducibility, scalability, and operational excellence
- Define and track key performance metrics to evaluate model impact and identify high[1]leverage opportunities for improvement
- Collaborate cross-functionally with product, engineering, and data science teams to align technical solutions with business goals and customer experience
- Mentor and grow engineering talent, fostering a culture of technical excellence, experimentation and continuous learning
Basic Qualifications
- Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields
- 4 years of professional experience in applied machine learning
- Experience in machine learning, deep learning, and statistical modeling
- Proficiency in Python and/or Java, with experience in building production grade ML systems
Preferred Qualifications
- Master’s or PhD in relevant technical fields
- Experience with search systems, information retrieval or recommendation engines
- Experience with LLMs, embeddings, and vector search technologies
- Experience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker
- Experience working in startup or high-growth environments
- Proven ability to lead-cross-functional teams and deliver results in a multicultural, global organization
- Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikit[1]learn, Keras, XGBoost, LightGMB, and H2o.ai
- Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker
- Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
- Demonstrated ability to work independently and manage ambiguity in fast-paced environments
Pay & Benefits
Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation.
The base pay for Staff position ranges from $152K/year to $277K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.
General Description of All Benefits
- Annual bonus is 0-20% of the base salary
- Medical/Dental/Vision/Life, AD&D insurance
- Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
- Long-term/Short-term Disability
- Employee Assistance Program (EAP) program
- 401K Plan with Company Match
- 18-21 days of the Paid Time Off (PTO) a year based on the tenure
- 12 Public Holidays
- 6 weeks Paid Parental leave
- Pre-tax commuter benefits
- MTV - [Free] Electric Car Charging Station
General Description of Other Compensation
“Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.
Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate.
Recruitment Process
- Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
- The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
- Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.
Details to Consider
- This job posting may be closed prior to the stated end date for application if all openings are filled.
- Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/
If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at usrecruiting@coupang.com.
Job Req: R0069012
Ready to apply?
Apply to Coupang
Infrastructure Engineer (Storage)
Who We Are
Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.
Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.
We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
Our Values
-
Move Fast: We act with speed and precision, breaking down big challenges into achievable steps.
-
Focus: We complete one goal at a time with care, collaborating as a team to deliver features with precision.
-
Balance: Sustained performance comes from rest and recovery. We ensure a healthy work-life balance to keep you at your best.
-
Craftsmanship: Innovation through excellence. Every detail matters, and we take pride in mastering our craft.
-
Minimal: Simplicity drives our innovation. We eliminate complexity through discipline and focus on what truly matters.
What We're Looking For
Lightning AI is seeking a Senior Storage Infrastructure Engineer to join our Infrastructure Engineering team.
In this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads. You will work at the intersection of software, hardware, and operations—developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.
You will help own the data plane of our storage infrastructure, supporting high-throughput, low-latency data access for some of the most demanding AI workloads. You’ll play a key role in managing and evolving our storage stack (including VAST and S3-compatible systems like Ceph), ensuring performance, reliability, and efficiency at scale.
We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.
What You'll Do
Storage Systems & Infrastructure
- Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph)
- Improve performance, reliability, and efficiency of storage systems supporting large-scale AI/ML workloads
- Troubleshoot complex storage and data path issues across hardware and software layers
- Optimize storage performance to support high-throughput, low-latency AI training and inference workloads
Automation & Tooling
- Build and maintain automation for provisioning, managing, and monitoring storage infrastructure
- Develop Python-based tools and workflows to reduce manual operational overhead
- Improve lifecycle management of storage clusters, from deployment through maintenance and scaling
Systems & Operations
- Manage and operate Linux-based systems in production, including bare-metal environments
- Partner with infrastructure and data center teams on hardware bring-up, upgrades, and issue resolution
- Support capacity planning, utilization tracking, and forecasting for storage systems
- Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability
Cross-Functional Collaboration
- Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate storage into the broader platform
- Contribute to design discussions around new infrastructure deployments and scaling strategies
- Help define best practices for operating storage systems in high-performance computing environments
What You'll Need
Required Qualifications
- 5+ years of experience in infrastructure engineering, systems engineering, or related roles
- Hands-on experience operating distributed storage systems (e.g., VAST, Ceph, or similar)
- Strong Linux systems experience in production environments
- Proficiency in Python or similar scripting/programming languages for automation
- Experience working with bare-metal infrastructure and hardware-oriented systems
- Ability to debug complex issues across system boundaries (storage, OS, hardware, networking)
- Experience with storage networking protocols (e.g., NFS or similar)
- Experience with capacity planning, monitoring, and performance tuning
Ideal Experience
- Experience with VAST storage systems in production environments
- Experience operating S3-compatible object storage at scale
- Data center operations experience, including working with physical hardware
- Familiarity with AI/ML or HPC workloads and their storage requirements
- Background in high-performance or low-latency distributed systems
- Familiarity with high-performance data transfer technologies (e.g., RDMA, GPU Direct Storage)
- Experience supporting GPU-based workloads or large-scale compute clusters
Compensation
We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.
Benefits and Perks
We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success. Benefits may vary by location, team, and role.
Benefits include:
- Comprehensive medical, dental and vision coverage (U.S.); Private medical and dental insurance (U.K.)
- Retirement and financial wellness support (U.S.); Pension contribution (U.K.)
- Generous paid time off, plus holidays
- Paid parental leave
- Professional development support
- Wellness and work-from-home stipends
- Flexible work environment
At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.
Ready to apply?
Apply to Lightning AI
Infrastructure Engineer (Observability)
Who We Are
Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.
Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.
We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
Our Values
-
Move Fast: We act with speed and precision, breaking down big challenges into achievable steps.
-
Focus: We complete one goal at a time with care, collaborating as a team to deliver features with precision.
-
Balance: Sustained performance comes from rest and recovery. We ensure a healthy work-life balance to keep you at your best.
-
Craftsmanship: Innovation through excellence. Every detail matters, and we take pride in mastering our craft.
-
Minimal: Simplicity drives our innovation. We eliminate complexity through discipline and focus on what truly matters.
What We’re Looking For
Lightning AI is seeking an Observability Infrastructure Engineer to join our Infrastructure Engineering team.
In this role, you will own and evolve observability systems across large-scale, GPU-enabled bare-metal infrastructure. You’ll operate at the intersection of infrastructure, data, and product, building platforms for metrics, logs, traces, and alerting that power both internal operations and customer-facing visibility.
You will play a key role in productizing observability, enabling scalable, multi-tenant monitoring experiences while keeping pace with rapid infrastructure buildouts. This includes designing telemetry pipelines, improving signal quality, and delivering actionable insights that ensure reliability and transparency across our platform.
We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.
What You’ll Do
Observability Platform & Productization
- Own and evolve a scalable observability platform spanning metrics, logs, traces, and events
- Drive the productization of observability capabilities for both internal teams and external customers
- Design multi-tenant observability systems with scoped access, RBAC, and customer-facing visibility
- Continuously improve observability systems to keep pace with rapid infrastructure buildouts
Telemetry & Data Pipelines
- Design and operate telemetry pipelines ingesting data from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish
- Build systems to correlate signals across infrastructure layers to enable faster debugging and root cause analysis
- Implement streaming and real-time data pipelines using tools such as Kafka, OTEL, Promtail, or similar
Alerting, Reliability & Insights
- Design and implement noise-resistant alerting systems to improve signal quality and reduce operational load
- Create dashboards and alerting for InfraOps, Engineering, and Customer Success teams
- Build automated insights and enable proactive detection, forecasting, and system health visibility at scale
Systems & Infrastructure Engineering
- Contribute to broader infrastructure engineering projects beyond observability
- Partner with infrastructure and platform teams to embed observability into core systems and workflows
- Support large-scale, distributed systems across compute, networking, and storage environments
Cross-Functional Collaboration
- Work closely with customer-facing teams to deliver external observability experiences
- Collaborate with engineering, operations, and support teams to improve system transparency and reliability
- Help define best practices for observability across the organization
What You’ll Need
Required Qualifications
- 5+ years of experience in infrastructure engineering, SRE, or observability-focused roles
- Strong experience with monitoring systems such as Prometheus, Grafana, ELK, or VictoriaMetrics
- Experience building and operating observability platforms at scale
- Proficiency in Python, Go, or bash for automation and data integration
- Familiarity with containerized environments and Kubernetes observability
- Experience with streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent)
- Experience with multi-tenant monitoring architectures
- Strong written and verbal communication skills
Ideal Experience
- Experience with GPU observability, particularly NVIDIA DCGM
- Experience monitoring large-scale GPU or HPC clusters
- Familiarity with InfiniBand fabric observability
- Experience building customer-facing or productized infrastructure systems
- Experience with correlation engines, RCA workflows, or predictive alerting systems
- Broad exposure to infrastructure domains including networking, storage, and provisioning
Compensation
We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.
Benefits and Perks
We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success. Benefits may vary by location, team, and role.
Benefits include:
- Comprehensive medical, dental and vision coverage (U.S.); Private medical and dental insurance (U.K.)
- Retirement and financial wellness support (U.S.); Pension contribution (U.K.)
- Generous paid time off, plus holidays
- Paid parental leave
- Professional development support
- Wellness and work-from-home stipends
- Flexible work environment
At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.
Ready to apply?
Apply to Lightning AI
Infrastructure Engineer (GPU & Compute)
Who We Are
Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.
Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.
We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
Our Values
-
Move Fast: We act with speed and precision, breaking down big challenges into achievable steps.
-
Focus: We complete one goal at a time with care, collaborating as a team to deliver features with precision.
-
Balance: Sustained performance comes from rest and recovery. We ensure a healthy work-life balance to keep you at your best.
-
Craftsmanship: Innovation through excellence. Every detail matters, and we take pride in mastering our craft.
-
Minimal: Simplicity drives our innovation. We eliminate complexity through discipline and focus on what truly matters.
What We're Looking For
Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team.
In this role, you will own image management, system diagnostics, and validation across large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software—developing automation, improving reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads.
You will play a key role in owning and evolving our image pipeline, running validation environments and test clusters, and supporting both system-level and GPU hardware qualification. This role is critical to ensuring that our infrastructure is consistent, performant, and ready to support demanding AI workloads from day one.
We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.
What You'll Do
Systems, Image & Validation Infrastructure
- Own and evolve systems for image management, deployment, and validation across bare-metal infrastructure
- Run and maintain test clusters used for system validation, diagnostics, and bring-up
- Validate firmware, drivers, and OS images across compute and GPU-enabled systems
- Support hardware qualification efforts for next-generation platforms
GPU Diagnostics & Performance
- Own GPU diagnostics and validation workflows across large-scale infrastructure
- Diagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers
- Analyze system and GPU performance using tools such as NVIDIA DCGM
- Identify failure patterns and drive improvements in system stability and validation coverage
Automation & Tooling
- Build and maintain automation for provisioning, validation, and system bring-up
- Develop Python-based tools and workflows to improve efficiency and reduce manual operational overhead
- Improve the reliability, repeatability, and scalability of image pipelines and validation systems
Systems & Operations
- Manage and operate Linux-based systems in production and validation environments
- Manage virtualization technology
- Support bare-metal provisioning workflows, including PXE and image-based systems
- Interface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debugging
Cross-Functional Collaboration
- Partner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation
- Collaborate with platform and ML teams to ensure systems meet workload requirements
- Contribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure
What You'll Need
Required Qualifications
- 5+ years of experience in infrastructure engineering, systems engineering, or related roles
- Strong Linux systems experience in production environments
- Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM
- Familiarity with bare-metal provisioning and system bring-up workflows
- Proficiency in Python or similar scripting/programming languages for automation
- Ability to debug complex issues across hardware, OS, GPUs, and system software
Ideal Experience
- Experience with high-performance interconnects (e.g., InfiniBand, NVLink)
- Experience with PXE boot environments, LiveCD systems, or image-based provisioning workflows
- Experience with hardware management interfaces such as iDRAC, IPMI, or Redfish
- Data center operations experience, including working with physical hardware
- Experience supporting AI/ML or HPC workloads at scale
- Experience with GPU validation frameworks or large-scale hardware qualification processes
Compensation
We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.
Benefits and Perks
We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success. Benefits may vary by location, team, and role.
Benefits include:
- Comprehensive medical, dental and vision coverage (U.S.); Private medical and dental insurance (U.K.)
- Retirement and financial wellness support (U.S.); Pension contribution (U.K.)
- Generous paid time off, plus holidays
- Paid parental leave
- Professional development support
- Wellness and work-from-home stipends
- Flexible work environment
At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.
Ready to apply?
Apply to Lightning AI
Fullstack Engineer
Who We Are
Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.
Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.
We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
Our Values
-
Move Fast: We act with speed and precision, breaking down big challenges into achievable steps.
-
Focus: We complete one goal at a time with care, collaborating as a team to deliver features with precision.
-
Balance: Sustained performance comes from rest and recovery. We ensure a healthy work-life balance to keep you at your best.
-
Craftsmanship: Innovation through excellence. Every detail matters, and we take pride in mastering our craft.
-
Minimal: Simplicity drives our innovation. We eliminate complexity through discipline and focus on what truly matters.
What We're Looking For
We’re looking for a Fullstack Engineer to help develop and scale the Lightning AI platform across the frontend, CLI, APIs, and core backend systems. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.
This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.
What You’ll Do
- Write readable/testable/efficient code in React and either Python or Go (Golang).
- Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
- Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
- Evaluate, strengthen, and document technical architecture, tools, and processes.
- Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
- Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.
What You’ll Need
- Proficiency in React and either Go (Golang) or Python, with a preference for Go
- Strong understanding of software engineering principles and lifecycle
- Hands-on experience as a Fullstack Engineer in a SaaS technology company
- Proven ability to take ownership of key features and drive end-to-end development
- Communication and collaboration with engineers, product managers, and designers
- Ability to operate in high uncertainty and rapidly changing environments
Compensation
We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.
Benefits and Perks
We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success. Benefits may vary by location, team, and role.
Benefits include:
- Comprehensive medical, dental and vision coverage (U.S.); Private medical and dental insurance (U.K.)
- Retirement and financial wellness support (U.S.); Pension contribution (U.K.)
- Generous paid time off, plus holidays
- Paid parental leave
- Professional development support
- Wellness and work-from-home stipends
- Flexible work environment
At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.
Ready to apply?
Apply to Lightning AI
Enterprise Solutions Engineer, West Coast
Who We Are
Verkada is transforming how organizations protect their people and places with an integrated, AI-powered platform. A leader in cloud physical security, Verkada helps organizations strengthen safety and efficiency through one connected software platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management.
Over 30,000 organizations worldwide, including more than 100+ companies in the Fortune 500, trust Verkada as their physical security layer for easier management, intelligent control, and scalable deployments. Founded in 2016, Verkada has expanded rapidly with 15 offices and 2,200+ full-time employees.
About the Role
Verkada is seeking an Enterprise Field Solution Engineer in the SF Bay or Pac Northwest area with expert experience in Cloud Security, IoT Systems, Networking, Linux systems, Security Surveillance and Access Control. This individual will partner directly with their territory account executives to expand the Verkada footprint upmarket into Fortune 500 companies. Responsibilities include directly interfacing with customers/partners throughout the sales process, overcoming technical objections, assisting customers in designing deployments with Verkada Products and providing technical assistance to territory account reps. The ideal candidate will be highly motivated, able to learn quickly and work independently while making impactful results for the company remotely.
What You'll Do
- Technical Leader: Be the subject matter authority on the full Verkada suite of products and offerings and articulate the value added benefits to customers throughout the sales process.
- Objection Handler: Overcome objections and defuse landmines while securing the technical win for Verkada.
- Evangelist: Effectively present the Verkada solution to all levels of customer, from C-level executives to loss prevention managers and directors of IT. Be a Product Technical Evangelist in training/educating partners, customers, and internal employees on the latest Verkada product offerings.
- This role requires regular travel, estimated to be more than 50% of the time, including both domestic and international destinations as needed. The successful candidate must be comfortable with frequent travel to support business operations, customer and partner engagements and team collaboration.
What You Bring
- 3+ years of experience as a Sales Engineer, with a proven track record of working with Fortune 500 companies.
- Outstanding written and verbal English communication skills in order to clearly and efficiently articulate technical matters with customers and partners.
- Bachelor's degree in relevant technical or security field from an accredited university.
- Strong background in Networking: HTTPS, VLANs, TCP/IP, DNS, NAT devices, DHCP and Firewalls.
- Bonus:
- Industry certifications: AWS, CCNA, CCDA, CCNP, MCSE, CEH, Security+, A+, Network+, Microsoft Azure, CISSP, CSP.
- Experience working with Active Directory, SAML/SCIM, API's, Python, and other coding languages is a plus.
- Startup experience.
US Employee Benefits
Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:
- Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
- Nationwide medical, vision and dental coverage
- Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
- Expanded mental health support
- Paid parental leave policy & fertility benefits
- Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
- Professional development stipend
- Fertility Stipend
- Wellness/fitness benefits
- Healthy lunches provided daily
- Commuter benefits
Additional Information
- You must be independently authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment visa for this role, at this time
Annual Pay Range
At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of restricted stock units (RSUs)
Below is the annual on-target earnings (OTE) range for full-time employees for this position, comprised of base compensation and commissions (if applicable).
Verkada Is An Equal Opportunity Employer
As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.
Your application will be handled in accordance with our Candidate Privacy Policy.
Ready to apply?
Apply to Verkada
Staff Software Engineer
Employee Applicant Privacy Notice
Who we are:
Welcoming, collaborative and having the opportunity to make an impact - is how our employees describe working here. Galileo is a financial technology company that provides innovative and revolutionary software products and services that power some of the world's largest Fintechs. We are the only payments innovator that applies tech and engineering capabilities to empower Fintechs and financial institutions to unleash their full creativity to achieve their most inspired goals. Galileo leads its industry with superior fraud detection, security, decision-making analytics and regulatory compliance functionality combined with customized, responsive and flexible programs to accelerate the success of all payments companies and solve tomorrow's payments challenges today. We hire energetic and creative employees while providing them the opportunity to excel in their careers and make a difference for our clients. Learn more about us and why we work here at https://www.galileo-ft.com/working-at-galileo.
We are looking for a Staff Software Engineer to join our Engineering team.
What you’ll do:
- Architect resilient software components within a distributed Python and C environment (K8s, EKS, EC2, Lambda, RDS, etc).
- Take full ownership for solving complex problems from inception to execution.
- Drive team and organization strategy with minimal guidance, ensuring technical decisions directly support company goals.
- Proactively identify and resolve technical debt or process friction, simplifying the codebase and developer experience to improve team velocity.
- Coach and mentor engineers, to build a high-performance culture. Serve as a subject matter expert who remains approachable.
- Proactively communicate, identify and mitigate technical risks, navigating trade-offs between system constraints and business impact.
- Build trust with functional leaders and stakeholders, communicating highly technical concepts into clear dialogue to gain alignment on priorities.
- Work with Python and C applications to resolve wide-ranging issues, and drive feature implementation.
What you’ll need:
- Bachelor's Degree in Computer Science or related field.
- 6+ years programming experience, ideally on a modern stack.
- Experience: 4+ years of experience writing high-quality, production-grade Python.
- Hands-on experience with Continuous Delivery principles and techniques, including unit testing and build & deploy pipelines.
- Ability to lead and influence a team's technical direction.
- Hands-on experience with AWS or similar cloud technologies (RDS, Aurora, Dynamo, EKS, or Lambda) and Kubernetes.
- Demonstrated ability to design resilient software components within a distributed system.
Nice to have:
- Familiarity with Python Flask and/or FastAPI frameworks.
- Experience developing in C.
- Domain knowledge in Payment Systems or financial tech.
Galileo Financial Technologies provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
Galileo is committed to an inclusive culture. As part of this commitment, Galileo offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Ready to apply?
Apply to Galileo Financial Technologies
Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).
About The Role
As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.
In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.
This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.
Key Responsibilities
- Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
- Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
- Understand business needs and contribute to the development of cross-channel measurement frameworks
- Partner closely with client stakeholders to translate data into insights and recommendations
- Support test design and analysis to evaluate performance and identify opportunities for improvement
- Contribute to the development of new analytics approaches, tools, and processes
- Identify opportunities to improve efficiency, automation, and data operations
- Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions
Primary Qualifications
- Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
- Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
- Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
- Working knowledge of Python or similar languages for data processing or automation
- Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
- Understanding of digital advertising measurement, reporting, and attribution methodologies
- Strong communication skills, with the ability to translate complex data into clear insights
- Ability to work independently and manage priorities in a fast-paced, ambiguous environment
Nice to Have
- Experience with Databricks, Spark, or distributed data processing frameworks
- Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
- Experience working in consulting, agency, or embedded client environments
- Familiarity with AI/ML or emerging data applications
Additional Information
- This is an individual contributor role with significant ownership and client exposure
- Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
- This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)
At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.
This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.
#LI-HYBRID
#LI-ZZ1
What We Offer
Benefits
- Excellent, full coverage medical, dental, and vision insurance - more about our coverage here!
- Generous PTO and 15 company-wide holidays
- 401k with company contribution
- Paid parental leave
- Work-life balance with an emphasis on personal well-being
- Career growth in a disruptor space & entrepreneurial opportunities within the Monks network
- A globally diverse & inclusive culture with employee resource groups such as S4 Melanin, Pride.Monks, Cultura.Monks, and more!
- Authentic commitment to DEI efforts and sustainable growth. (Why Sir Martin Sorrell signed The Climate Pledge here!)
This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.
Monks has provided a compensation range that represents its good faith estimate of what Monks may pay for the position at the time of posting. Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status.
About Monks
Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact.
Monks was named a Contender in The Forrester Wave™: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group’s 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato’s AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.
We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.
Ready to apply?
Apply to Monks
Staff Infrastructure Engineer, Cluster Infrastructure
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.
Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world.
Key responsibilities
- Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning
- Partner across teams to ensure new compute capacity is ingested on time
- Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity
- Collaborate with security owners to ensure clusters are provisioned secure-by-default
- Define and drive strategy on cluster scalability, homogeneity and fault tolerance
- Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy
- Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health
- Support the growth of engineers around you through technical mentorship and coaching
Minimum qualifications
- Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
- Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
- Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems
- Ability to build alignment across senior stakeholders and communicate effectively at all levels
Preferred qualifications
- 8+ years of software engineering experience, including time as a technical lead setting direction for a team
- Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes)
- Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like)
- Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield)
- Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS)
- Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance
- Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows)
- Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
The Global Payments Performance Team are Stripe’s foremost payments experts, identifying payment optimization opportunities for Stripe’s users. We serve a critical role both in demonstrating thought leadership on challenging payment topics and partnering with our high-potential merchants to set them up for long term success. We make payments performance a competitive advantage for our users, large and small, by providing them with best-in-class technology in concert with insightful and specific advice on how to harness this technology to achieve their business goals.
What you’ll do
You’ll be embedded directly within the Global Payments Performance team, and responsible for data & tooling used by the team and our stakeholders. You will be instrumental in scaling the subject matter expertise of the team’s payments domain experts - building datasets, agents, and tools that enable Stripes to deliver tailored, expert level content to their customers.
Responsibilities
- Develop analytics products, dashboards, and tools that GTM leverages to deliver expert level payment optimization sessions to Stripe customers.
- Maintain analytics assets owned by the team, such as metric definitions, technical documentation, vertical agents and query repositories.
- Build data pipelines that power our user insights.
- Act as a resource to the team communicating the nuance and technical complexity of payments performance adjacent data.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 7+ years experience in Analytics, Business Intelligence Engineering, Data Science or Technical Customer Advisory roles.
- 4+ years experience with SQL and Python.
- Working understanding of code development processes and best practices s.a. git, code reviews, and testing.
- Expertise in data visualization and using data insights to make recommendations.
- Proven ability to manage and deliver on multiple projects with great attention to detail.
- Ability to clearly communicate results and drive impact.
Preferred qualifications
- Degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.
- Familiarity with the payments ecosystem and how merchants optimize payment processing (e.g., conversion, authorization rates, authentication success rates, transaction fraud, and network costs
Ready to apply?
Apply to Stripe
Staff Software Engineer, Batch Processing Platform
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
We’re looking for a Staff Software Engineer to help us build a high-performance, efficient, and easy to use batch processing platform and infrastructure at Pinterest. You’ll be working on some of the most exciting big data open source technologies such as Spark, Presto/Trino, Iceberg, etc. at the scale of hundreds of petabytes of data to bring everyone the inspiration to create a life they love.
What you’ll do:
- Design, implement, and optimize Pinterest’s batch processing infrastructure.
- Collaborate with cross-functional teams to understand data needs.
- Lead technical projects and initiatives, driving them to completion.
- Mentor and guide junior engineers on best practices and architecture.
- Ensure the reliability, scalability, and efficiency of data systems.
What we’re looking for:
- 6+ years of experience building and supporting large scalable big data infrastructure/platforms
- Extensive experience with big data query technologies such as Spark SQL or Presto/Trino.
- Proven skills in designing and maintaining scalable data infrastructure.
- Proficiency in programming languages like Java, Scala, or Python.
- Strong problem-solving abilities and a drive for innovation.
- Excellent communication skills and the ability to collaborate across teams.
- Bachelor's degree in a relevant field such as Computer Science or Engineering, or equivalent experience.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-REMOTE
#LI-AH2
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Our Commitment to Inclusion:
Ready to apply?
Apply to Pinterest
Forward Deployed Engineering Solutions Consultant (USA)
Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?
Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals.
Our customers are our greatest asset. Syndio partners with many of the world’s most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes.
Join us in our mission to help companies make smarter pay decisions they can trust!
About the role
We are seeking a Forward Deployed Engineer to serve as the technical architect and execution lead for our most critical client implementations. You will be a founding member of a team dedicated to the "last mile" of the Syndio experience - ensuring that our customers’ complex data environments are seamlessly integrated into our platform and clients can be onboarded into our platform with minimum effort.
In this role, you aren’t just "onboarding" a client; you are building the data foundations that allow enterprise leaders to make fair, confident pay decisions. You will work at the intersection of Software Engineering and Solutions Architecture, using our new Implementation Platform and cutting-edge AI tools to transform disparate data into Decision Intelligence.
Why this role is exciting
- Hands-on Technical Execution: Own the end-to-end technical implementation for strategic clients, from initial data ingestion to complex group configurations in the Syndio platform.
- Innovate with AI: Use advanced AI prompt engineering to navigate product exceptions and architect creative solutions for unique client edge cases that "out of the box" features don't yet cover.
- Drive True Adoption: Ensure the platform isn't just "live"; it’s embedded. You will design configurations that make Syndio an indispensable part of a client’s daily HR and compensation workflow.
- Modern Tech Stack: Work with modern integration tools and help migrate existing clients to our new, high-scale Implementation Platform.
- Cross-Functional Impact: You will provide direct feedback to the Core Engineering and Product Teams and in some cases directly build the core product to help shape.
Basic Requirements:
- 3-5+ years of experience as a Software Engineer, Forward Deployed Engineer, or Technical Solutions Consultant in a B2B SaaS environment.
- Technical Proficiency: Strong hands-on experience with SQL and Python for data transformation and ETL processes.
- AI Prompting Mastery: Proficiency in leveraging LLMs and AI prompting to accelerate complex implementations, automate data mapping and resolve technical product exceptions.
- Integration Expertise: Experience working with APIs and modern iPaaS / Integration tools to move data between enterprise systems (HRIS, ATS, Payroll).
- Client-Centric Vision: Ability to lead technical deep-dives with client stakeholders, translating their business needs into platform configurations.
- Operational Excellence: Proven ability to manage multiple complex technical workstreams simultaneously while maintaining high quality and documentation standards.
About You:
- You are a "Technical Visionary": You don't just follow a checklist; you look at a client’s data and requirements, and see the most efficient path to value.
- You Thrive on Complexity: You enjoy the "puzzle" of mapping messy, real-world enterprise data into a structured platform.
- You are a Strong Communicator: You can explain a complex SQL join to a non-technical HR leader and a product roadmap to a backend engineer.
- You are an Early Adopter: You are excited about using AI to augment your workflow and are constantly looking for ways to automate repetitive implementation tasks.\
- You Value Partnerships: You work well cross-functionally and understand that successful implementations require a blend of technical precision and empathetic customer service.
Why you'll love it here:
- 💰 Competitive Compensation. For this role our salary is targeted at $105-$140k USD per year. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location.
- 🏆 Syndio Equity. So you can share in Syndio’s success.
- 🏝 Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, parental leave, and voting leave.
- 🩺 Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents.
- 🏥 Life Insurance & Disability. Syndio covers the full premium.
- 🏦 401(k). To help you save for your future
- 📍 Remote-first in the following approved U.S. states: AZ, CA, CO, CT, DC, FL, GA, ID, IL, IA, MD, MA, MN, NE, NJ, NY, OH, OR, PA, RI, SC, SD, TX, UT, VT, VA, WA, and WI #LI-Remote
Role Progression:
In the 1st Month:
- Complete onboarding on the Syndio platform and the "Decision Intelligence" vision.
- Master the new Integration Platform and current data loading artifacts.
- Shadow 2-3 strategic client implementations and identify potential automation opportunities.
- Contribute to a pilot migration of an existing client’s data into the new platform.
At 3 Months:
- Independently lead technical implementations for new clients.
- Execute data migrations for a segment of the existing client base into the new Integration platform.
- Build reusable "Implementation Artifacts" (scripts, prompts, templates) that reduce time-to-value for the whole team.
- Contribute to the design of our new Platform’s Implementation process, identifying automation and other artifacts to minimize the client’s time to value.
By 6 Months:
- Manage a portfolio of high-complexity implementations for Syndio’s most strategic accounts utilizing automation and other artifacts to maximize client’s value in minimum time.
- Help achieve the goal of migrating 70% of the client base to the new Integration platform solution.
- Serve as a subject matter expert for "Process Embedding," ensuring clients are fully adopting the platform’s advanced setup features.
The interview overview
Below you'll find an outline of the interview plan for our Forward Deployed Engineer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.
- 30 min phone call with a member of our Talent Team.
- 45-60 min Zoom deep dive with the Hiring Manager (Director of Forward Deployed Engineering).
- 75 min hands-on technical interview with a Senior Engineer.
- 2-3 video interviews with key members of the Customer Success and Product teams.
- 30 min interview with the SVP of Engineering - Data Strategy.
At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us.
Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
Ready to apply?
Apply to Syndio
Senior Site Reliability Engineer, Fleet Management
The Team
Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.
The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.
This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, remotely in the United States region, or our European office in Dublin.
Responsibilities
- Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB
- Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems
- Participate in a 24/7 on-call rotation to resolve critical issues
- Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice
You may be a good fit if you
- Have 6+ years of experience in software development and operating distributed systems
- Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests)
- Have deep experience using and extending containerization technologies, preferably Kubernetes
- Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS)
- Possess a customer focused mindset, treating internal developers as your primary users
- Have strong operational ownership, including a track record of debugging complex production issues and driving them to resolution
- Prefer automation over manual processes ("allergic to ops work")
- We are a small team of software engineers with a strong bias toward building software solutions to eliminate toil
Strong candidates may also have experience with
- Designing and implementing secure, multi-tenant runtime environments from first principles
- Proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, Gatekeeper, Kyverno, and CRDs/Operators, CRI, CSI
- Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure
- Proficiency in provisioning infrastructure using tools like Terraform, Crossplane, and AWS Controllers for Kubernetes (ACK)
- Advanced Linux systems internals and networking concepts specifically relevant to containers, such as namespaces and cgroups
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 426182
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Ready to apply?
Apply to MongoDB
About the Role
We’re looking for a Senior Engineer to help build the next-generation inference platform that supports embedding models used for semantic search, retrieval, and AI-native experiences in MongoDB Atlas.
You’ll join the broader Search and AI Platform organization and collaborate with ML researchers and engineers from our Voyage.ai acquisition. Together, we’re building infrastructure for real-time, low-latency, and high-scale inference — fully integrated with Atlas and designed for developer-first experiences.
As a Senior Engineer, you'll focus on building core systems and services that power model inference at scale. You'll own key components of the infrastructure, work across teams to ensure tight integration with Atlas, and contribute to a platform designed for reliability, performance, and ease of use.
We're looking to speak with candidates in Palo Alto for our hybrid working model.
What You’ll Do
- Design and build components of a multi-tenant inference platform integrated directly with MongoDB Atlas, supporting semantic search and hybrid retrieval
- Collaborate with AI engineers and researchers to productionize inference for embedding models and rerankers — enabling both batch and real-time use cases
- Contribute to platform capabilities such as latency-aware routing, model versioning, health monitoring, and observability
- Improve performance, autoscaling, GPU utilization, and resource efficiency in a cloud-native environment
- Work across product, infrastructure, and ML teams to ensure the inference platform meets the scale, reliability, and latency demands of Atlas users
- Gain hands-on experience with tools like vLLM and container orchestration with Kubernetes
Who You Are
- 5+ years of experience building backend or infrastructure systems at scale
- Strong software engineering skills in languages such as Go, Rust, Python, or C++, with an emphasis on performance and reliability
- Experienced in cloud-native architectures, distributed systems, and multi-tenant service design
- Familiar with concepts in ML model serving and inference runtimes, even if not directly deploying models
- Knowledge of vector search systems (e.g., Faiss, HNSW, ScaNN) is a plus
- Comfortable working across functional teams, including ML researchers, backend engineers, and platform teams
- Motivated to work on systems integrated into MongoDB Atlas and used by thousands of developers
Nice to Have
- Experience integrating infrastructure with production ML workloads
- Understanding of hybrid retrieval, prompt-driven systems, or retrieval-augmented generation (RAG)
- Contributions to open-source infrastructure for ML serving or search
Why Join Us
- Be part of building the AI foundation of the world’s most popular developer data platform
- Collaborate with ML researchers from Voyage.ai to bring novel ideas into scalable systems
- Tackle challenging problems in inference, observability, and distributed infrastructure
- Work in a culture that emphasizes mentorship, ownership, and technical excellence
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 4263317053
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Ready to apply?
Apply to MongoDB
Senior Staff Engineer, MongoDB Developer Productivity
The Developer Productivity team supports the software development ecosystem used by thousands of engineers to develop and maintain MongoDB Server and developer tools in a complex matrix of multi-platform self-hosted products and multi-cloud hosted environments. Our tools and services, as well as our domain expertise, ensure that MongoDB developers can ship high quality products quickly, confidently, and securely.
As a senior staff engineer you’ll be responsible for helping shape the future of our developer ecosystem and ensure we take advantage of the rapidly-evolving engineering landscape. You will partner with engineering leadership across the company to identify system-wide opportunities to accelerate developer velocity and efficiency, enhancing smart data collection and integrating analytics assistants that produce actionable insights every step of the way.
Our team champions a strong culture of inclusivity, diversity, and collaboration. If you like working on a strongly collaborative team that loves to experiment, have a passion for open source, and generally thrive on being a champion for software development best practices and data-informed decision making, this is the role for you.
Candidate Profile
- Minimum 10 years of experience in the developer productivity domain in large engineering environments, including building, and operationalizing complex, reliable systems
- Strong experience supporting one or more of C++, Java, Go, Python, Rust, Node, Typescript
- Strong understanding of DevOps culture and tooling
- Extensive experience with CI/CD pipelines, common deployment models and infrastructure, and various techniques used to safely roll changes into production environments
- Hands-on experience implementing metrics and observability tools and best practices, as well as data processing pipeline technologies such as Iceberg, Trino, Kafka
- Proven track record of driving technical execution and vision for organizations with 50+ team members
- Skilled in advocating for and representing the needs of a 1000+ customer base to internal platform teams
Responsibilities
- Drive strong operational excellence standards for internal software development tools and services, helping define golden paths that optimize the efficiency and velocity of our engineering organization
- Design software development systems to ensure best practices and champion industry standards
- Advise Engineering partners on technical implications of systems design with regards to complexity, testability, and maintainability
- Lead development and project management of some of the largest projects within MongoDB to improve developer productivity and software quality, particularly around data-driven insights and optimizations
- Provide technical mentorship and leadership to the Developer Productivity organization, promoting best practices and fostering team growth
Bonus points if the candidate has experience with:
- Strong systems fundamentals, including testing and monitoring multi-threaded systems
- Performance profiling of complex systems
- Leveraging best of breed AI tools & technologies in the developer productivity domain along with the necessary telemetry and analytics to measure effectiveness in a rapidly changing environment
- Experience supporting the development of database internals or core components for data processing systems
Success Measures
- In the first month, you will have understood the high level architecture of at least one of the systems within the MongoDB developer ecosystem and fixed a few bugs
- In three months, you will have a broad understanding of the overall developer ecosystem and be taking on code review responsibilities
- In six months, you will have taken on code and design review responsibilities for key systems within the software development ecosystem
- In twelve months, you will be leading the development of MongoDB’s next generation developer ecosystem, helping to mentor engineers on the team, and using your experience to drive the long-term DevProd-wide technical roadmap
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 1273376291
AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward.
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.
Ready to apply?
Apply to MongoDB
The Developer Productivity team supports the software development ecosystem used by thousands of engineers to develop and maintain MongoDB Server and developer tools in a complex matrix of multi-platform self-hosted products and multi-cloud hosted environments. Our tools and services, as well as our domain expertise, ensure that MongoDB developers can ship high quality products quickly, confidently, and securely.
As a senior staff engineer you’ll be responsible for helping shape the future of our developer ecosystem and ensure we take advantage of the rapidly-evolving engineering landscape. You will partner with engineering leadership across the company to identify system-wide opportunities to accelerate developer velocity and efficiency, enhancing smart data collection and integrating analytics assistants that produce actionable insights every step of the way.
Our team champions a strong culture of inclusivity, diversity, and collaboration. If you like working on a strongly collaborative team that loves to experiment, have a passion for open source, and generally thrive on being a champion for software development best practices and data-informed decision making, this is the role for you.
Candidate Profile
- Minimum 10 years of experience in the developer productivity domain in large engineering environments, including building, and operationalizing complex, reliable systems
- Strong experience supporting one or more of C++, Java, Go, Python, Rust, Node, Typescript
- Strong understanding of DevOps culture and tooling
- Extensive experience with CI/CD pipelines, common deployment models and infrastructure, and various techniques used to safely roll changes into production environments
- Hands-on experience implementing metrics and observability tools and best practices, as well as data processing pipeline technologies such as Iceberg, Trino, Kafka
- Proven track record of driving technical execution and vision for organizations with 50+ team members
- Skilled in advocating for and representing the needs of a 1000+ customer base to internal platform teams
Responsibilities
- Drive strong operational excellence standards for internal software development tools and services, helping define golden paths that optimize the efficiency and velocity of our engineering organization
- Design software development systems to ensure best practices and champion industry standards
- Advise Engineering partners on technical implications of systems design with regards to complexity, testability, and maintainability
- Lead development and project management of some of the largest projects within MongoDB to improve developer productivity and software quality, particularly around data-driven insights and optimizations
- Provide technical mentorship and leadership to the Developer Productivity organization, promoting best practices and fostering team growth
Bonus points if the candidate has experience with:
- Strong systems fundamentals, including testing and monitoring multi-threaded systems
- Performance profiling of complex systems
- Leveraging best of breed AI tools & technologies in the developer productivity domain along with the necessary telemetry and analytics to measure effectiveness in a rapidly changing environment
- Experience supporting the development of database internals or core components for data processing systems
Success Measures
- In the first month, you will have understood the high level architecture of at least one of the systems within the MongoDB developer ecosystem and fixed a few bugs
- In three months, you will have a broad understanding of the overall developer ecosystem and be taking on code review responsibilities
- In six months, you will have taken on code and design review responsibilities for key systems within the software development ecosystem
- In twelve months, you will be leading the development of MongoDB’s next generation developer ecosystem, helping to mentor engineers on the team, and using your experience to drive the long-term DevProd-wide technical roadmap
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 1273376291
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
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Security Software Engineer, Infrastructure Security (Staff or Senior)
We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure.
The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards.
This role can be based out of our New York City, Austin, Seattle or San Francisco offices, or work fully remotely on standard East Coast business hours.
Responsibilities:
- Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
- Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour
- Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.)
- Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code
- Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership
- Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services
Qualifications:
You might be a great fit if you match some of the following:
- 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work
- Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes
- A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems
- Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management
- Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks
- Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon)
- A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness
- Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 2263171228
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
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Senior Business Systems Analyst, Finance Systems
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking an experienced Senior Business Systems Analyst to join our Finance Systems team at Anthropic. In this role, based on our recent go live on Workday Financials, you will serve as the internal functional lead for our Workday Financials,, owning the design and configuration of the Financial Data Model (FDM), Chart of Accounts, and dimensional structures that will serve as the source of truth for financial reporting. You will develop Prism Analytics and Accounting Center solutions, gather requirements and build reporting capabilities, and collaborate closely with cross-functional teams to drive the successful adoption of the Workday platform.
This is a critical role that will directly shape how Anthropic's finance organization operates as we scale toward public company readiness. You will work at the intersection of finance domain expertise and technical implementation, partnering with the implementation partner, engineering teams, and finance stakeholders to build a world-class financial systems foundation.
In this role, you will
- ERP Core Financials: Serve as internal functional lead for Workday Financials, partnering with partners to drive configuration decisions, validate designs, and ensure business requirements are met. Partner with consultants for Phase X / net new implementations.
- Financial Data Model (FDM) Design: Own the design and configuration of Chart of Accounts, Worktags, dimensional hierarchies, and Accounting Books that will serve as the source of truth for all financial reporting, ensuring support for both GAAP and Management reporting requirements
- Prism Analytics Development: Develop and maintain Prism/Accounting Center solutions from source analysis and ingestion design through build and testing,, including integration with external data sources like BigQuery and Pigment
- Requirements Gathering & Reporting: Gather business requirements from Finance, Accounting, and FP&A stakeholders, translating them into hands-on development of executive reporting, dashboards, and analytics solutions
- Workshop Participation & Solution Design: Participate in implementation workshops, challenge requirements, and translate business needs into buildable designs and testable acceptance criteria; manage defects and data quality issues throughout the project lifecycle for all implementations impacting Workday Record to Report (R2R)
- Cross-Functional Collaboration: Collaborate with Integrations, Security, and Financials configuration teams to align master data, journals, controls, and performance service level agreements; partner with Data Infrastructure and BizTech teams on system integrations
- Platform Expansion & Adoption: Work closely with engineering teams and business stakeholders to drive ongoing expansion and adoption of the Workday platform (e.g. bi-annual releases), identifying opportunities for process improvement and automation.
You may be a good fit if you
- Have 8+ years of experience in finance systems, ERP implementation, or business systems analysis roles, with at least 5 years of hands-on Workday Financials experience
- Possess deep expertise in Workday Financial Data Model (FDM), including Chart of Accounts design, Worktags configuration, dimensional hierarchies, and Accounting Books setup
- Have strong experience with Workday Prism Analytics, including data modeling, source integration, calculated fields, and report development
- Are skilled at translating complex business requirements into technical solutions, bridging the gap between finance stakeholders and technical implementation teams
- Have experience with full ERP implementation lifecycles, including requirements gathering, configuration, testing, data migration, cutover planning, and hypercare
- Possess strong understanding of financial accounting processes including General Ledger, multi-entity consolidation, intercompany accounting, and management reporting
- Have excellent stakeholder management and communication skills, with ability to work effectively with finance leadership, accounting teams, and technical partners
- Demonstrate strong analytical and problem-solving skills with attention to detail and commitment to data accuracy and integrity
- Are comfortable working in fast-paced, high-growth environments with evolving requirements and tight timelines
Strong candidates may also have
- Background in accounting, finance, or CPA certification with understanding of GAAP/IFRS reporting requirements
- Experience with Workday Accounting Center for complex journal automation and subledger accounting
- Technical proficiency with SQL, Python, or scripting languages for data analysis and integration support
- Experience integrating Workday with external data platforms such as BigQuery or cloud data warehouses
- Knowledge of SOX compliance requirements and internal controls for financial systems
- Experience with EPM/FP&A systems such as Pigment, Anaplan, or Adaptive Planning and their integration with ERP
- Prior experience at high-growth technology companies scaling toward IPO readiness
- Familiarity with Workday HCM and understanding of HCM-Financials integration points
- Experience with data migration tools, ETL processes, and reconciliation frameworks for ERP implementations
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
COMPANY PROFILE
Code.org is an education innovation nonprofit dedicated to the vision that every student in every school has the opportunity to learn about artificial intelligence (AI) and computer science (CS) as part of their core K-12 education. We increase participation in AI+CS education by reaching students of all backgrounds where they are — at their skill level, in their schools, and in ways that inspire them to keep learning, with a focus on increasing participation by young women and students from other underrepresented groups. The leading provider of K-12 AI+CS education curriculum across the globe, Code.org also organizes the annual Hour of AI campaign, building on the legacy of the Hour of Code, which has engaged more than 15% of all students in the world!
A unifying approach in a divided world
Code.org's global role in the K-12 computer science movement is only possible because we use a unifying approach across diverse and often divided stakeholders. At a time of increasing polarization, the idea of increasing opportunity for students unites people from across the political spectrum. Code.org's team members, students, teachers, and supporters have diverse and diverging view points, and they are all welcome in our mission. Read more.
JOB SUMMARY
Code.org is seeking a Professional Learning Product Manager to lead the work of our Professional Learning team. In this role you will identify, define, and ship CS and AI professional learning products for K-12 teachers, leading and managing a team of content developers and collaborating cross-functionally. Code.org’s professional learning offerings, including self-paced PL modules, facilitator-led workshops, and supports embedded in our platform, serve thousands of teachers across the U.S. and around the globe each year. The product manager will build on the strengths of our current PL offerings while innovating new ways to support the teachers using our curriculum, particularly given the affordances of AI.
The ideal candidate will be a strong product manager with experience supporting educators in the ed tech space, technical understanding of CS and AI concepts, and deep knowledge of designing effective and engaging learning experiences for adults. Experience integrating AI into adult learning supports is highly valued.
DUTIES AND RESPONSIBILITIES
In this role you will:
- With the support of the Director of Teaching and Learning, develop the strategy for Code.org’s professional learning products. Define compelling, right-sized products to achieve that strategy and work towards organizational goals.
- Manage the team of Code.org professional learning content developers, mentoring them and supporting their growth. Create an inclusive, welcoming, and productive team culture and work environment.
- Lead the team of PL content developers in building and launching products. Manage projects, creating roadmaps and milestones and allocating resources. Standardize workflows, development processes, and pedagogical approaches.
- Set goals and metrics, develop evaluation plans, collect, analyze, and act on data from a variety of sources (pilots, surveys, focus groups, observations). Quantitatively and qualitatively monitor product adoption, usage, retention, and satisfaction and use this data to inform product strategy, features, and improvement.
- Review and provide feedback on PL products in development and manage an external review process using subject matter experts and teacher reviewers.
- Develop effective partnerships and working relationships within and outside of the organization. Collaborate with colleagues in software product management, design, engineering, marketing, data, and others. Communicate effectively with stakeholders, to leadership, and with development teams.
- Maintain a deep understanding of what educators need in order to successfully implement CS and AI curricula. Understand teacher needs and realities, and the ways that reality is changing with the advent of AI.
- Actively represent Code.org values. Contribute to the Product and Engineering team and Code.org practices, rituals, and culture.
EXPERIENCE & QUALIFICATIONS
We seek candidates who have:
- 4+ years of experience designing and developing professional learning experiences and/or products (ideally CS and AI-focused), including for use at scale. Ideal candidates will have experience as a product manager in the ed tech/curriculum provider space as well as professional learning development experience.
- 2+ years of experience as a people manager, or equivalent experience acting as a regular mentor to members of a team or managing contractors.
- Knowledge of CS and AI concepts relevant to the CSTA standards and the AI Literacy Framework. Proficient in at least one text-based programming language (e.g. Python or JavaScript).
- Deep and up-to-date understanding of adult learning principles, ideally with an understanding of best practices in online environments
- Experience using product, market, and customer data to make product decisions.
- Strong project manager with experience leading, managing, and prioritizing multiple complex projects with multiple components and timelines, ideally with experience using project management tools.
- Deep understanding of best practices to support equitable classroom environments, and experience with student-centered pedagogy.
- Strong communication and collaboration skills.
- The ability to thrive and maintain flexibility in a fast-paced environment.
- Experience building and maintaining cross-functional and cross-org relationships.
- Demonstrated growth mindset and ability to drive clarity through ambiguity.
- Demonstrated ability to operate with significant independence and sound judgment in ambiguous or fast-changing environments
- A bias for action - comfortable starting, iterating, and learning rather than waiting for perfect information
- Intellectual curiosity about emerging trends in education, technology, and AI, with a track record of proactively staying ahead rather than waiting for direction
- Comfort with risk-taking and a healthy relationship with failure as part of the learning process
- Passion for CS and AI education and the Code.org mission.
In addition, candidates must:
- Be a U.S. Citizen or Permanent Resident
- Work within the continental United States
- Pass a pre-employment background check
- Be willing to travel a minimum of two times per year for team events
WHO WE ARE LOOKING FOR
- Builder’s mindset. We’re looking for adaptable, result-driven team members who thrive in dynamic environments and can navigate shifting priorities with ease. In this role, you’ll embrace change, pivot strategies as needed, and drive impactful solutions that align with evolving business needs. If you excel in fast-paced settings and enjoy turning challenges into opportunities, we’d love to have you on our team!
- We are hard on problems and kind to each other. We stay focused on the challenge of bringing computer science to students and teachers globally. We recognize that each of us brings the best of our intentions to support our mission and give grace when we make mistakes.
- A growth mindset fuels us. We approach each challenge with curiosity. We give feedback kindly and candidly; we receive feedback openly. We learn from our mistakes and look for ways to increase the reach and impact of our work.
- Player-coach Managers. We seek hands-on managers with player-coach mindsets who can strategize, execute, mentor, and contribute. As a manager, you balance leadership with direct involvement, guiding your team while rolling up your sleeves to drive results.
OUR APPROACH TO AI IN HIRING
At Code.org, we use AI thoughtfully and responsibly to support human-centered hiring. AI may help with administrative tasks, but every hiring decision is made by real people on our team. We welcome candidates to use AI appropriately in their job search while upholding our values of honesty and integrity throughout the process.
Read our full AI Use Policy in Hiring here.
WHAT IS THE INTERVIEW PROCESS LIKE?
Step 1: Informational Interview - learn more about the role and share your experience (45 minutes)
Step 2: Take-Home Assignment (~3 hours)
Step 3: Interviews with several members of the Code.org team (~4 hours)
Step 4: Final Interviews (1.5 hours)
Step 5: Reference Checks
All interviews are currently being conducted virtually via Zoom
TO APPLY
Our team will review all applications on an ongoing basis and if we believe your qualifications would make a great fit, we'll contact you to schedule an informational interview.
COMPENSATION & BENEFITS PACKAGE
The expected salary range for this position is $117,000 - $130,000. Most offers are on the lower end of the salary range and are at the company’s sole discretion based on the final candidate’s experience. This allows us to provide a fair and equitable approach to compensation when setting pay and maintaining internal pay equity.
We also offer a comprehensive benefits package for full-time employees that includes:
- Technology subsidy consistent with our Bring Your Own Device environment
- Flexible, engaging, and remote working environment
- Paid time off: 5 weeks total, comprised of 3 weeks vacation annually, plus a 2-week winter break office closure (including Christmas and New Year's), and sick leave
- Medical, dental and vision premiums paid at 100% for FT positions and their dependents
- Option to participate in 403b retirement plan
- Annual professional development stipend
- The opportunity to help students learn better and change the face of computer science
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Ready to apply?
Apply to Code.org
Senior Software Engineer, RAIL
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE TEAM
Anduril’s Tactical Recon & Strike (TRS) is a division with two missions: 1) build highly capable autonomous drones, and 2) build solid rocket motors at scale. We transform products like Ghost, Anvil, Bolt, and Altius from early concepts into fully operational capabilities by partnering closely with specialist engineering, operations, and production teams. Through our Anduril Rocket Motor Systems (RMS) team, we design and manufacture solid rocket motors using advanced materials, proprietary formulations, and high-volume production methods—delivering safe, reliable propulsion systems that support a wide range of mission requirements. TRS hires software engineers & hardware engineers, who are excited to build across a diverse and powerful portfolio—from autonomous aerial systems to high-performance solid rocket motors. Our teams contribute to highly capable autonomous robotics systems and propulsion products that operate reliably in the most demanding mission environment.
ABOUT THE JOB
RAIL has two primary customers:
- Mission Autonomy (MA) — Mission Autonomy at Anduril is responsible for coordinating mission-level behaviors by manipulating hardware. For example, “fly to these waypoints,” “enter radio silence mode,” or “arm munitions.”
- Robotics Business Lines — These teams own specific Anduril robots end-to-end, as well as individual pieces of hardware on those robots.
RAIL bridges the gap between Mission Autonomy and diverse sets of hardware by creating common hardware interfaces. To allow Anduril to effortlessly integrate with new hardware. RAIL enables Anduril to scale and deploy ambitious new robot designs on short timelines by leveraging learnings and investments from our existing portfolio of diverse hardware and products.
For example, Anduril procures autopilots from a multitude of different hardware vendors. Each autopilot has a subtly different hardware interface — some use MAVLINK, some use STANAG, others use bespoke vendor-specific serial interfaces. Despite having different interfaces, they all provide standard functionality that flies along a set of waypoints.
As an author of advanced mission behavior, I shouldn’t care whether my autopilot speaks MAVLINK or STANAG — I just want my vehicle to get flying. RAIL abstracts away these subtle hardware differences from Mission Autonomy by providing a shared, common interface as a layer between Mission Autonomy and low-level hardware integrations. RAIL also provides other valuable features such as hardware custody management and access-control semantics, shared-memory IPC approaches and flexible observability plugins, to name a few.
RAIL is uniquely situated within Anduril. As the layer between Mission Autonomy and low-level-hardware at Anduril, you will find yourself developing a broad set of expertise working with nearly every robotics team at Anduril. To date, we’ve flown all across our US offices and test sites to launch new initiatives with Ghost, Altius, Dive, and Fury. Come help RAIL build the future of robot autonomy at Anduril!
WHAT YOU'LL DO
- Own major feature development and rollout of large features for our products — RAIL works with nearly every robotics team at Anduril — humility, empathy, and strong collaboration skills are key to success on the RAIL team!
- Write and maintain core systems that all robotics platforms at Anduril will use.
- Work closely with our vehicle software teams during product development, understanding their needs, and delivering high leverage software they are able to use bring their product to market.
REQUIRED QUALIFICATIONS
- 4+ years of C++ or Rust experience in a Linux development environment — you will be expected to learn Rust on the job, but prior Rust experience is not required
- BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field
- Proven understanding of data structures, algorithms, concurrency, and code optimization
- Experience troubleshooting and analyzing remotely deployed software systems
- Experience working with and testing electrical and mechanical systems
- Eligible to obtain and maintain an active U.S. Secret security clearance
PREFERRED QUALIFICATIONS
- Experience programming for embedded and physical devices
- Eligible to obtain and hold a US DoD Security Clearance
- Python and/or Go experience
- Multi-agent coordination of UAVs
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
-
No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
- Please always verify communications:
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
@anduril.comaddress. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
-
Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
-
What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.
Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Ready to apply?
Apply to Anduril Industries
COMPANY PROFILE
Code.org is an education innovation nonprofit dedicated to the vision that every student in every school has the opportunity to learn about artificial intelligence (AI) and computer science (CS) as part of their core K-12 education. We increase participation in AI+CS education by reaching students of all backgrounds where they are — at their skill level, in their schools, and in ways that inspire them to keep learning, with a focus on increasing participation by young women and students from other underrepresented groups. The leading provider of K-12 AI+CS education curriculum across the globe, Code.org also organizes the annual Hour of AI campaign, building on the legacy of the Hour of Code, which has engaged more than 15% of all students in the world!
A unifying approach in a divided world
Code.org's global role in the K-12 computer science movement is only possible because we use a unifying approach across diverse and often divided stakeholders. At a time of increasing polarization, the idea of increasing opportunity for students unites people from across the political spectrum. Code.org's team members, students, teachers, and supporters have diverse and diverging view points, and they are all welcome in our mission. Read more.
JOB SUMMARY
Code.org is seeking a Curriculum Product Manager to lead the work of our 6-12 Curriculum team. In this role you will identify, define, and ship CS and AI curriculum products for middle and high school students, grades 6-12, leading and managing a team of content developers and collaborating cross-functionally. Code.org’s 6-12 curriculum products, including CS Principles, CS Discoveries, and AI Foundations, serve hundreds of thousands of students across the U.S. and around the globe each year. The product manager will build on the curriculum’s strengths while spearheading the development of new offerings addressing teacher demand, AI integration, and emerging pathways for high school students.
The ideal candidate will be a strong product manager with experience in the middle and high school CS and AI ed tech space, technical understanding of CS and AI concepts, and deep experience designing effective and engaging learning experiences for middle and high school students. Experience developing AI-focused products is highly valued.
DUTIES AND RESPONSIBILITIES
In this role you will:
- With the support of the Director of Teaching and Learning, develop the strategy for Code.org’s 6-12 curriculum products. Define compelling, right-sized curriculum products to achieve that strategy and work towards organizational goals.
- Manage the team of Code.org 6-12 curriculum content developers, mentoring them and supporting their growth. Create an inclusive, welcoming, and productive team culture and work environment.
- Lead the team of curriculum content developers in building and launching products. Manage projects, creating roadmaps and milestones and allocating resources. Standardize workflows, development processes, and pedagogical approaches.
- Set goals and metrics, develop evaluation plans, collect, analyze, and act on data from a variety of sources (pilots, surveys, focus groups, observations). Quantitatively and qualitatively monitor product adoption, usage, retention, and satisfaction and use this data to inform product strategy, features, and improvement.
- Review and provide feedback on curriculum products in development and manage an external review process using subject matter experts and teacher reviewers.
- Develop effective partnerships and working relationships within and outside of the organization. Collaborate with colleagues in software product management, design, engineering, marketing, data, and others. Communicate effectively with stakeholders, to leadership, and with development teams.
- Maintain a deep understanding of what 6-12 students need to be engaged with and learn from CS and AI curriculum. Understand what districts, schools, and partners need from 6-12 curriculum to implement and promote it.
- Actively represent Code.org values. Contribute to the Product and Engineering team and Code.org practices, rituals, and culture.
EXPERIENCE & QUALIFICATIONS
We seek candidates who have:
- 4+ years of experience designing and developing 6-12 learning products (ideally CS and AI-focused), including for use at scale. Ideal candidates will have experience as a product manager in the 6-12 ed tech/curriculum provider space as well as curriculum development experience.
- 2+ years of experience as a people manager, or equivalent experience acting as a regular mentor to members of a team or managing contractors.
- Deep knowledge of CS and AI concepts relevant to, at a minimum, the 6-12 grade bands of the CSTA standards and the AI Literacy Framework. Fluency in at least one text-based programming language (e.g. Python or JavaScript) is required.
- Direct experience teaching CS and/or AI, particularly in grades 6-12, preferred.
- Deep and up-to-date understanding of curriculum development principles, ideally with an understanding of how to design effective 6-12 learning experiences in online and blended environments.
- Experience using product, market, and customer data to make product decisions.
- Strong project manager with experience leading, managing, and prioritizing multiple complex projects with multiple components and timelines, ideally with experience using project management tools.
- Deep understanding of best practices to support equitable classroom environments, and experience with student-centered pedagogy.
- Strong communication and collaboration skills.
- The ability to thrive and maintain flexibility in a fast-paced environment.
- Experience building and maintaining cross-functional and cross-org relationships.
- Demonstrated growth mindset and ability to drive clarity through ambiguity.
- Demonstrated ability to operate with significant independence and sound judgment in ambiguous or fast-changing environments
- A bias for action - comfortable starting, iterating, and learning rather than waiting for perfect information
- Intellectual curiosity about emerging trends in education, technology, and AI, with a track record of proactively staying ahead rather than waiting for direction
- Comfort with risk-taking and a healthy relationship with failure as part of the learning process
- Passion for CS and AI education and the Code.org mission.
In addition, candidates must:
- Be a U.S. Citizen or Permanent Resident
- Work within the continental United States
- Pass a pre-employment background check
- Be willing to travel a minimum of two times per year for team events
WHO WE ARE LOOKING FOR
- Builder’s mindset. We’re looking for adaptable, result-driven team members who thrive in dynamic environments and can navigate shifting priorities with ease. In this role, you’ll embrace change, pivot strategies as needed, and drive impactful solutions that align with evolving business needs. If you excel in fast-paced settings and enjoy turning challenges into opportunities, we’d love to have you on our team!
- We are hard on problems and kind to each other. We stay focused on the challenge of bringing computer science to students and teachers globally. We recognize that each of us brings the best of our intentions to support our mission and give grace when we make mistakes.
- A growth mindset fuels us. We approach each challenge with curiosity. We give feedback kindly and candidly; we receive feedback openly. We learn from our mistakes and look for ways to increase the reach and impact of our work.
- Player-coach Managers. We seek hands-on managers with player-coach mindsets who can strategize, execute, mentor, and contribute. As a manager, you balance leadership with direct involvement, guiding your team while rolling up your sleeves to drive results.
OUR APPROACH TO AI IN HIRING
At Code.org, we use AI thoughtfully and responsibly to support human-centered hiring. AI may help with administrative tasks, but every hiring decision is made by real people on our team. We welcome candidates to use AI appropriately in their job search while upholding our values of honesty and integrity throughout the process.
Read our full AI Use Policy in Hiring here.
WHAT IS THE INTERVIEW PROCESS LIKE?
Step 1: Informational Interview - learn more about the role and share your experience (45 minutes)
Step 2: Take-Home Assignment (~3 hours)
Step 3: Interviews with several members of the Code.org team (~4 hours)
Step 4: Final Interviews (1.5 hours)
Step 5: Reference Checks
All interviews are currently being conducted virtually via Zoom
TO APPLY
Our team will review all applications on an ongoing basis and if we believe your qualifications would make a great fit, we'll contact you to schedule an informational interview.
COMPENSATION & BENEFITS PACKAGE
The expected salary range for this position is $117,000 - $130,000. Most offers are on the lower end of the salary range and are at the company’s sole discretion based on the final candidate’s experience. This allows us to provide a fair and equitable approach to compensation when setting pay and maintaining internal pay equity.
We also offer a comprehensive benefits package for full-time employees that includes:
- Technology subsidy consistent with our Bring Your Own Device environment
- Flexible, engaging, and remote working environment
- Paid time off: 5 weeks total, comprised of 3 weeks vacation annually, plus a 2-week winter break office closure (including Christmas and New Year's), and sick leave
- Medical, dental and vision premiums paid at 100% for FT positions and their dependents
- Option to participate in 403b retirement plan
- Annual professional development stipend
- The opportunity to help students learn better and change the face of computer science
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Ready to apply?
Apply to Code.org
Who we are
In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches.
What you’ll do
The restaurant industry has zero data standardization - POS systems, delivery apps, and inventory tools all speak different languages. This causes semantic drift, impedes AI enablement, and erodes trust. The Analytics Engineering team is tackling this head-on through best-in-class data normalization and modeling, a semantic layer, and automated data quality frameworks - contributing to a world-class data ecosystem from the ground up.
As an early and key contributor to this team, you'll balance hands-on technical ownership with deep cross-functional collaboration. That means building scalable data models and pipelines while partnering with Product, Engineering, Operations, and Data Science to understand how restaurants use Otter, measure platform quality and growth, and transform raw operational data into production-ready datasets that power business decisions and AI-driven products.
Responsibilities:
- Design, build, and maintain scalable data pipelines and models, owning the full lifecycle from source system ingestion through canonical datasets to production-ready analytics.
- Build and optimize data models that run against both batch and real-time query engines, understanding the tradeoffs and appropriate use cases for each.
- Partner with Engineering, Product, and Data Science teams to understand data needs and data generation patterns, define source-of-truth datasets, and ensure data quality across the pipeline.
- Design and maintain data integrity standards, SLAs, alerting, and best-practice data validation frameworks.
- Drive the development of self-service analytics solutions and AI-powered data tools to scale data access for both internal teams and external customers.
- Contribute to the design and evolution of our semantic layer and data modeling standards across the organization.
- Foster a culture of technical excellence, continuous learning, and data-fluency.
What we’re looking for
- 2+ years in the data space as an analytics engineer or data engineer, preferably in a scaling startup environment.
- Strong technical foundations with deep experience in SQL, Python, version-controlled environments, and modern data tooling, including hands-on experience with a SQL-based transformation tool (e.g., dbt, SQLMesh, or similar).
- Significant experience with a large-scale (1B+ rows) data ecosystem, with familiarity across both batch processing and real-time or OLAP query engines.
- Strong understanding of data modeling concepts: star schemas, slowly changing dimensions, incremental materialization strategies.
- Experience partnering with Product, Engineering, and Data Science to deliver data products.
- Demonstrated ability to balance strategic thinking with hands-on technical ownership.
- A "full-stack mindset", not hesitating to do what it takes to solve a problem end-to-end.
- A passion for high-quality, scalable, and highly usable technical systems.
Why join us
- Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030.
- Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery.
- Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success.
What else you need to know
This role is based in our Seattle office location. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week.
The base salary range for this role is $137,000 - $162,000 per year.
Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.
Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.
Benefits Summary (USA Full-Time Exempt Employees):
- Medical, dental, and vision insurance (multiple plans, incl. HSA options).
- Company-paid life and disability insurance (short- and long-term).
- Voluntary insurance: accident, critical illness, hospital indemnity.
- Optional supplemental life insurance for self, spouse, and children.
- Pet insurance discount.
- 401(k).
- Health Savings Account (HSA)
- Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
- Time Off policies:
- Discretionary vacation days
- 8 paid holidays per year
- Paid sick time
- Paid Bereavement leave
- Paid Parental Leave
Benefits are subject to change at the company's discretion.
Ready to join us as we serve those who serve others?
#LI-Onsite
Ready to apply?
Apply to OtterWho we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Before Stripe, every growing internet platform had a payments team. Today, every growing internet platform has an Identity team. Identity verification has become core economic infrastructure for online businesses — enabling them to digitally verify their users' identities for fraud prevention, regulatory compliance, and trust and safety purposes.
At Stripe, we're building something more ambitious than a verification product. Our vision is to build the world's most trusted store of verified identities — a single, global, reusable, risk-scored representation of every individual who interacts with Stripe and beyond. This Identity Store becomes a platform with compounding network effects: more verifications enrich the store; a richer store produces better fraud signals; better signals mean lower friction for trusted users; lower friction drives more adoption.
Our product today serves millions of verifications per month for customers like OpenAI, Shopify, and WhatNot, and powers identity verification across multiple internal Stripe products including Fraud, Link, Connect, and Crypto. The problems ahead — adversarial AI and deepfake defense, networked identity infrastructure, progressive verification platforms, and low friction KYC APIs — sit at the frontier of what's possible in identity engineering.
What you’ll do
As a Staff Engineer on the Identity team, you will own the technical direction of one of Stripe's most strategically important product areas. This is not a role defined by task execution — it's a role defined by technical judgment, architectural influence, and the ability to turn an ambitious vision into a reliable, scalable system.
Responsibilities
- Own technical strategy — Define the architecture for Identity's core systems (Identity Store, headless verification platform, fraud detection infrastructure), make build-vs-buy-vs-partner decisions, and surface technical risks before they become customer-facing failures
- Lead 0-1 platform development — Architect net-new systems including the Identity Store, Networked Identity platform, and advanced fraud detection pipeline (behavioral biometrics, deepfake discriminators, adversarial training). Drive the evolution from a hosted-UI product to a headless-API and embedded-components platform
- Drive cross-functional alignment — Be the primary technical voice in roadmap and resourcing discussions. Partner with ML, product, legal, and engineering leads across Risk, Fraud, Link, Connect, and Crypto to ensure Identity's abstractions serve the full breadth of Stripe's product surface
- Raise the technical bar — Set engineering standards across ML, backend, mobile, and front-end; lead design reviews; and mentor senior engineers on the judgment needed to operate a high-stakes, externally-facing product
- Operate with ownership — Be accountable for reliability, scalability, and security of the systems you design — including the observability and alerting that catch model drift and fraud pattern shifts before customers do
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role.
- Experience leading engineering team(s) working on API design, abstractions, frameworks, or client libraries (e.g. building internal or external developer products).
- Proven track record of delivering pragmatic solutions that accelerate business growth
- Ability to adjust conversations from high-level discussions to detailed coding
- Thrives on a high level of autonomy and responsibility
- Clear and persuasive writing and in-person communication
- Strong problem-solving skills, critical thinking, determination, and a growth mindset
- Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to high level of psychological safety for all team members and partner
- Has experience in a range of software languages and frameworks. Examples of what we work with include:
- Languages: primarily Ruby and Typescript, but also Python, Scala, Java, Go, and SQL (Spark and Trino dialects)
- Frameworks: React, GraphQL Kafka, Protobuf, Airflow, Bazel, Temporal,
- Others: Mongo, Splunk, Prometheus
Preferred qualifications
- Experience with identity verification, fraud detection, or trust and safety systems — especially systems with adversarial inputs at scale
- Familiarity with ML systems in production: model serving, training pipelines, observability, drift detection, and the feedback loops that keep models accurate under adversarial conditions
- Experience building platform products with multiple consumer types — internal platform teams and external developers — where API backward compatibility and abstraction quality are first-class concerns
- Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly
- Exposure to the technical stack we work with: primarily Ruby and TypeScript on the backend and web, Python for ML and data pipelines, with infrastructure spanning Kafka, Temporal, Protobuf, React, and distributed data stores
- Experience navigating ambiguity in a fast-moving organization — you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge
Why Stripe Identity
- The market is at an inflection point. The global identity verification market is growing at ~15% CAGR, from $12.5B in 2024 to $21.8B by 2028. Competitors have more features today — but none of them have Stripe's moat: payments signals, fraud network, consumer graph, and KYC data spanning the full financial ecosystem. We're building to win the next decade, not the last one.
- The problems are genuinely hard. Adversarial ML against deepfakes and face swaps. Distributed identity graph architecture with real-time freshness requirements. Progressive verification APIs that minimize friction without sacrificing fraud detection accuracy. These are unsolved problems — not just at Stripe, but in the industry.
- You'll work on systems that matter immediately. The verifications we run protect real users from real fraud. When our recall improves by 10 points, that's millions of dollars in prevented fraud losses for customers who rely on us. When our mobile SDK completion rate rises, thousands more legitimate users successfully onboard each month.
- The team is small enough that your judgment shapes the architecture. This isn't a role where you inherit decisions made five years ago. It's a role where the decisions you make in 2026 are the ones the team will build on through 2029.
Ready to apply?
Apply to Stripe
Staff Software Engineer, Cloud Inference Safeguards
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking a Staff Software Engineer to build and operate the safety, oversight, and intervention mechanisms that protect Claude on third-party cloud service provider (CSP) platforms. As the engineer responsible for Safeguards on those surfaces, you will ensure that every request served through our CSP partners is monitored for misuse, enforced against policy, and compliant with the data residency and privacy commitments that enterprise CSP customers expect.
You will sit at the seam between the Safeguards organization and the Cloud Inference team: taking classifiers, detection signals, and enforcement policies developed by Safeguards and making them run reliably inside a CSP partner’s infrastructure at serving-path latency and scale. You will own the architecture that lets our safeguards operate within those constraints without gaps. You will build, deploy and operate the multi-layered defenses that catch unwanted model behavior in real time, the telemetry pipelines that give us situational awareness over CSP traffic, and the enforcement hooks that let us act quickly when something goes wrong. Your work will directly determine whether Anthropic can ship frontier models on CSP platforms at the same safety bar we hold ourselves to on our first-party API.
Responsibilities:
- Build, deploy and operate real-time safeguards infrastructure—classifiers, rate limits, enforcement actions, and intervention hooks—embedded directly in the third-party CSP inference serving path
- Design and maintain the data residency and privacy architecture for safeguards signals on CSP platforms, ensuring we can detect abuse and monitor model behavior while honoring regionalization boundaries and enterprise contractual commitments
- Develop telemetry, logging, and evaluation pipelines that give Safeguards, Policy, and T&S operational teams situational awareness over CSP traffic and close the visibility gap between third-party and first-party serving
- Dive into the CSP serving stack to identify the lowest-impact points to gather signals or introduce interventions without degrading latency, stability, or overall architecture
- Hold a high operational bar: own on-call, drive root-cause analyses and postmortems for safeguards incidents on CSP platforms, and build systems that reduce the human intervention required to keep Claude safe
- Work closely with Safeguards research, Policy & Enforcement, the Cloud Inference team, and CSP partner contacts to turn detection research and policy decisions into production enforcement that works inside a partner’s cloud.
You may be a good fit if you:
- Have a Bachelor’s degree in Computer Science, Software Engineering, or comparable experience
- Have 7+ years of experience in high-scale, high-reliability software development, ideally with exposure to trust & safety, anti-abuse, fraud, or integrity systems
- Are proficient in Python and comfortable working across the stack—from request-path services to data pipelines to internal tooling
- Think adversarially: you can see a system from a bad actor’s perspective, anticipate how they will respond to countermeasures, and design defenses in depth rather than single points of enforcement
- Have experience scaling infrastructure to accommodate rapid traffic growth while keeping latency and reliability within tight budgets
- Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development
- Have strong communication skills and can explain complex technical and risk tradeoffs to non-technical stakeholders across Policy, Legal, and partner organizations
- Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space
Strong candidates may also have experience with:
- Building trust and safety, anti-spam, fraud, or abuse detection and mitigation mechanisms for AI/ML systems, or the infrastructure to support these systems at scale
- Machine learning serving infrastructure (GPUs/TPUs, inference servers, load balancing) and the operational realities of running models in production
- Major cloud platform internals—IAM, Network/service perimeter controls, regional resource constraints, cloud-native logging/monitoring—or experience shipping software that runs inside a partner’s cloud rather than your own
- Data residency, privacy engineering, or compliance-constrained architectures, particularly where telemetry has to stay within regional or contractual boundaries
- Working closely with operational and human-review teams to build custom internal tooling, admin UX, and alerting
- Adversarial mindset: has shipped defenses against motivated attackers before, knows what it feels like when they adapt, and can sprint to close a gap before it becomes an incident
- Comfortable operating at the intersection of platform/infra engineering and trust & safety—neither a pure infra engineer nor a pure T&S engineer, but someone who can credibly do both
- Has shipped software that runs inside someone else’s infrastructure (partner cloud, embedded deployment, or similar) and knows how to get things done when you don’t control the whole stack
- Senior enough to own a cross-team seam independently, drive consensus across orgs, and make latency/safety tradeoff calls without escalation
- TypeScript or Rust, and agentic coding tools such as Claude Code
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Location Details:
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
Join our Team...
Our team is a part of the Airo Growth and Innovation within GoDaddy, and we are looking to have a principal AI / machine learning scientist join this core Applied ML team. Our goal is to build and grow a community of ML scientists and engineers to learn, share and grow. We are committed to understanding all major business units very closely and we thrive to empower business results by leveraging AI and state-of-the-art ML algorithms.
This core Applied AI and Machine Learning team utilizes large-scale data to power various business areas, and our goal is to create cohesive navigation experience across channels and web pages, to help simplify and enhance the shopping experience for everyday entrepreneurs across the world to quickly find what they need on our website.
We are seeking a highly experienced AI/ML Scientist to lead research and development in Agentic AI systems and Reinforcement Learning (RL). This role focuses on designing intelligent agents capable of autonomous decision-making, planning, and reasoning in complex environments. You will work at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, driving innovation for next-generation AI products.
What you'll get to do...
- Lead research and development of advanced Reinforcement Learning algorithms including policy optimization, hierarchical RL, and multi-agent RL systems.
- Design and implement agentic architectures that enable autonomous reasoning, planning, and sophisticated tool use.
- Pioneer the integration of Large Language Models with RL to create adaptive, goal-driven AI behaviors.
- Formulate hypotheses and conduct large-scale experiments to continuously improve agent performance and capabilities.
- Build sophisticated simulation environments for testing agentic behaviors and reward strategies.
- Leverage large-scale data to create cohesive navigation experiences that simplify shopping for entrepreneurs worldwide.
- Partner with product and engineering teams to translate breakthrough research into production-ready AI solutions.
- Mentor and develop junior scientists and engineers on RL and agentic AI best practices.
- Drive innovation across major business units by applying state-of-the-art ML algorithms to real-world challenges.
Your experience should include...
- Strong background in both machine learning/NLP and software development with hands-on Deep Neural Network experience.
- Proven expertise in Reinforcement Learning algorithms and autonomous agent design.
- Advanced algorithm design and programming skills in low-level languages (C++/Java) and scripting languages (Python/R/Scala).
- Experience working with live data including data cleaning, visualization, and modeling.
- Experience with distributed computing frameworks (Hadoop/Spark).
- Track record of solving meaningful real-world problems using principled ML techniques.
You might also have...
- PhD (Preferred) in Machine Learning, Artificial Intelligence, or related field with focus on Reinforcement Learning.
- Publications in top-tier AI/ML conferences (NeurIPS, ICML, ICLR, AAAI, ACL, etc.).
- Experience with multi-agent systems and game-theoretic approaches.
- Background in integrating foundation models with traditional RL frameworks.
- Contributions to open-source AI/ML projects or frameworks.
- Experience deploying ML models at scale in production environments.
- Track record of mentoring and developing technical talent.
We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.
At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.
GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.
Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com.
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.
Compensation & Benefits:
What We Offer:
Working at GoDaddy offers many benefits, including competitive pay, generous time off, parental and wellness leave, healthcare, retirement savings program, and much more. Offerings vary by location.
This role is eligible for a comprehensive benefits package, which includes medical, dental, and vision insurance, a 401(k)-retirement plan, paid sick time, paid flexible time off, paid parental leave, life insurance, short- and long-term disability, AD&D insurance, mental health or EAP programs, remote or hybrid work options, paid holidays, paid Wellness days, tuition assistance, adoption, surrogacy, and fertility benefits, dependent daycare and backup care benefits, Employee stock purchase plan, financial education and advice; and other benefits in accordance with GoDaddy’s benefit plans and applicable law.
Actual compensation and benefits eligibility will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Compensation:
The estimated pay ranges for this role are listed below. In addition to base pay, this role may be eligible for other forms of compensation, which may include a corporate bonus and/or equity awards, subject to the terms of applicable plans and individual eligibility.
Ready to apply?
Apply to GoDaddy
Expression of Interest: Machine Learning Engineer
About Moloco:
Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
Expression of Interest
We know that for the most talented engineers, the right opportunity is about more than just a job title, it’s about the right challenge at the right time. Even if our current openings don't perfectly fit your timing and interests today, we still want to hear from you. We view this as a priority pathway to connect with curious, driven MLEs whose unique expertise can help us architect the next generation of planet-scale ML systems.
At Moloco, our mission is to empower the global digital economy by turning massive first-party data into measurable business outcomes. Whether it’s optimizing real-time bidding for Moloco Ads or building AI-native stacks for Streaming and Commerce, we’re looking for engineers to help us lead the shift toward a more performance-driven, AI-powered internet.
If you’re excited to scale and innovate in a fast-moving environment, share your profile and we will reach out the moment we see a potential match for your experiences and future goals.
About the Role
As a Machine Learning Engineer at Moloco, you will design, train, and deploy the large‑scale models that power our programmatic advertising and commerce media products. You will work at the heart of our real-time bidding and pricing systems, helping shape an end-to-end ML ecosystem that processes billions of daily events. Your work will directly improve marketplace performance for global advertisers and publishers by optimizing for relevance, ROI, and user experience at a scale few companies can match.
The Opportunity
- Architect and iterate on high-performance models that improve ad relevance, click-through rates, and conversion performance.
- Productionize and maintain scalable ML pipelines - from data ingestion to online inference - on top of planet-scale infrastructure.
- Extract insights from massive datasets of user behavior and auction signals to define new features and refine modeling strategies.
- Translate business goals (revenue, ROI, engagement) into concrete modeling challenges and success metrics in collaboration with Product and Data Science.
- Validate innovation through rigorous experimentation, including A/B tests, offline evaluations, and counterfactual analyses.
- Balance marketplace health by implementing models that harmonize advertiser value with a high-quality user experience.
- Enhance system reliability by refining feature stores, monitoring data quality, and establishing robust debugging practices.
- Drive platform evolution, contributing to ML tools and guidelines that increase experimentation velocity and deployment speed.
- Optimize for performance, partnering with Infra teams to reduce latency and improve throughput for low-cost, high-scale decisioning.
- Elevate technical excellence by sharing best practices in modeling and production ML with the broader engineering team.
Expertise We Value:
MLEs at Moloco are hands-on builders of some of the world’s highest-scale ML workloads. They bridge technical innovation with global revenue outcomes, owning the critical systems that define our next generation of machine learning and optimization platforms.
While every journey is unique, we find that the most successful MLEs at Moloco bring a deep technical foundation in the following areas:
- Production ML at Scale: 5-12+ years of experience delivering ML solutions in high-stakes production environments (e.g., Ads, Recommenders, Search, or Marketplaces), with a track record of scaling models for massive throughput and low-latency requirements.
- Algorithmic Mastery: A strong foundation in ML and statistics applied to real-world business challenges, with expertise in areas such as ranking, calibration, exploration-exploitation, causal inference, or multi‑objective optimization.
- Full-Lifecycle Engineering: Deep understanding of the end-to-end ML lifecycle, including data pipelining, feature engineering, model architecture, inference optimization, and the deployment of models into online systems.
- Technical Versatility: Proficiency across a modern ML toolkit (Python, SQL, and frameworks like TensorFlow or PyTorch) and experience leveraging data processing stacks like Spark, Beam, or Flink to deliver results at scale.
- Operational Stewardship: Experience ensuring the long-term health of ML systems in live environments—monitoring performance, diagnosing drift, and iterating based on real-world feedback to maintain measurable impact.
- Technical Mentorship: A passion for advancing the team’s collective bar by sharing best practices for large-scale ML systems and guiding the technical direction of complex machine learning initiatives.
Our Tech Stack:
- Languages: Python, Go, C++
- ML Frameworks: TensorFlow, PyTorch, JAX
- Infrastructure: GCP, AWS, Kubernetes, Spark, BigQuery, BigTable
How You Work:
- Your ethos is ownership
- You thrive in ambiguity and enjoy partnering with others to shape vague requirements into clear roadmaps with pragmatic tradeoffs.
- You take shared accountability for the end-to-end journey; communicating progress, surfacing risks early, and following through to ensure your work creates measurable value.
- You demonstrate strong judgment under uncertainty.
- You prioritize based on long-term impact, over short-term noise, making deliberate decisions when information is incomplete.
- You explicitly weigh tradeoffs like speed vs. quality and remain agile enough to adjust your approach thoughtfully as new information/data emerges.
- You lead through clarity and active listening.
- You reduce ambiguity for the team by asking the right questions upfront, tailor your communication to your audience, document your decisions, and bring helpful structure to complex discussions.
- You provide thoughtful, evidence-based feedback when needed and align behind decisions once they are made.
- You collaborate early, instead of solving in isolation.
- You build trust across the organization by listening first and navigate conflicting needs with empathy, creating buy-in around priorities and scope.
- You navigate technical tensions productively, disagreeing thoughtfully while maintaining momentum and strengthening professional relationships.
- You fall in love with the problem, not the solution
- You build for the long run, looking beyond immediate tasks to understand root causes, second-order effects, and the long-term health of our ML ecosystem.
- When something breaks, you don’t just patch it; you seek structural improvements that prevent recurrence and elevate the technical bar for the entire organization.
- You prioritize customer impact and take action to make it real.
- You prioritize effective solutions that drive business impact over technical elegance, spotting opportunities that others might overlook.
- You have the initiative to turn ideas into outcomes and the agency to identify and fix gaps, even when they aren’t yet on the formal roadmap.
You can apply for this role through our Open Positions page (or through our Internal Job Board if you are a current employee). We will review submissions on an ongoing basis.
Our Compensation And Benefits (for United States Residents Only)
In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources:
AI Use in Interviews
Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.
Equal Opportunity:
Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.
Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
Ready to apply?
Apply to Moloco
Senior Data Scientist, Product Analytics - Ads Integrity
About Moloco:
Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
The impact you'll be contributing to Moloco:
Product Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Senior Data Scientist, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, fraud detection) and customer needs, and provide the data driven insight and scientific solutions.
Here’s what you’ll be working on:
Our team is responsible for:
- Conducting deep-dive analysis to influence R&D decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers.
- Evaluating ads integrity: understanding changes and drivers of our complex systems, diagnosing fraud claims and mitigating fraud escalations through a set of input/output metrics of each component.
- Building the right metrics to measure campaign health: improving campaign performance monitoring by establishing the right metric framework, and understanding cause-and-effect relationships across drivers
Basic Qualifications
- Distinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time.
- Proven ability to own complex projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations.
- Excellent verbal and written communication skills, with ability to present information and analysis results effectively.
- Statistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
- Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr).
- Ability to build positive relationships within the DS team and with our stakeholders, and work effectively with cross-functional partners in a global company.
- 6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.
Bachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).
Our Compensation And Benefits (for United States Residents Only)
In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources:
AI Use in Interviews
Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.
Equal Opportunity:
Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.
Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
Ready to apply?
Apply to Moloco
Senior Machine Learning Engineer (Mandarin speaking)
About Moloco:
Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
The Impact You’ll Be Contributing to Moloco:
As a Senior Machine Learning Engineer on Moloco’s Ads Quality team, you’ll design and scale machine learning systems that directly improve ad relevance, ranking, and optimization. Your work will have a measurable impact on advertiser performance, revenue efficiency, and the overall user experience across Moloco’s ad platform.
The Opportunity:
- Design, build, and deploy large-scale ML systems for ad ranking, click-through prediction, and conversion optimization
- Develop and operate production pipelines that process hundreds of millions of ad requests per day with low-latency requirements
- Collaborate directly with customers and partners in Mandarin to understand business goals and deliver data-driven ML solutions
- Apply systematic, reproducible approaches to model training, evaluation, and continuous improvement
- Partner with the Machine Learning Infrastructure and Data teams to improve tooling, deployment pipelines, and training efficiency
- Lead design and code reviews to promote technical excellence and standardize ML practices across Ads teams
- Diagnose model performance, identify optimization opportunities, and execute experiments that drive measurable results
- Mentor engineers on best practices for ML experimentation, productionization, and scaling
- Work cross-functionally with product, infrastructure, and business teams to align technical innovations with product goals
How Do I Know if the Role is Right For Me?
- You have 7+ years of experience building and deploying ML systems at scale, ideally in AdTech, recommender systems, or search/ranking domains
- You’ve shipped models that directly improved key product or business metrics such as CTR, CVR, or ROI
- You’re fluent in Mandarin Chinese and skilled at collaborating with customers or partners in technical discussions
- You have strong software engineering fundamentals: data structures, algorithms, and system design and proficiency in Python (C++ or Java a plus)
- You’re experienced with modern ML frameworks such as PyTorch, TensorFlow, or JAX
- You’ve worked with distributed data and compute systems like Apache Beam, Dataflow, or Flume
- You understand how to build robust ML pipelines including data versioning, feature engineering, retraining, and model monitoring in production
- You have experience optimizing inference performance on GPUs, TPUs, or similar hardware accelerators
- You thrive in fast-moving, ambiguous environments and can translate complex technical work into measurable business outcomes
- You value collaboration, accountability, and building systems that scale across teams and markets
Our Compensation And Benefits (for United States Residents Only)
In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources:
AI Use in Interviews
Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.
Equal Opportunity:
Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.
Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
Ready to apply?
Apply to Moloco
About Moloco:
Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
About the Role
The Ads Applied Data team builds and scales the foundational data infrastructure that powers Moloco’s advertising platform. As a Senior Software Engineer, you will design, develop, and optimize distributed data systems for real-time and batch processing, ensuring reliable and low-latency delivery of data across the ads ecosystem. You’ll work closely with Product, ML, and Data Science teams to enable feature engineering, identity resolution, and advanced user signal enrichment across online and offline pipelines.
Responsibilities
- Design and build large-scale distributed systems for data ingestion (Petabyte-scale), transformation, and serving.
- Partner with ML and Serving teams to support feature engineering workflows, connecting offline data to serving systems.
- Contribute to the evolution of Feature Infra / Feature Store, ensuring scalability, discoverability, and consistency of feature data.
- Collaborate on Identity Graph construction to unify user and device identifiers for more effective signal enrichment and targeting.
- Improve system observability, resilience, and performance in high-throughput, low-latency environments.
- Mentor engineers and help define best practices for data and backend engineering.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, or equivalent technical field.
- 5+ years of software engineering experience with one or more modern languages (Java, Kotlin, Go, C++, C#, or Python).
- Proven experience designing and building large-scale distributed systems and backend services.
- Hands-on experience with data processing frameworks such as Apache Beam, Dataflow, or Spark, and orchestration tools like Airflow.
- Strong understanding of cloud infrastructure (GCP, AWS, or Azure) and data storage technologies (BigQuery, Bigtable, Redis, GCS, Kafka, Pub/Sub).
- Demonstrated experience delivering impactful projects through collaboration with cross-functional teams (Product, ML, Data Science).
Preferred Qualifications
- Experience with Feature Infra / Feature Store architecture and operations.
- Experience in Identity Graph design and construction to enhance user signal quality.
- Deep familiarity with AdTech or Machine Learning infrastructure domains.
- Experience working with Petabyte-scale data and high-availability systems.
Compensation & Benefits
U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, basic life insurance, and well-being benefits and perks. U.S.-based employees also receive up to 12 scheduled paid holidays per calendar year and one Thrive Day off per quarter. Additionally, all employees have Flexible Time Off (FTO).
The successful candidate may be eligible for a bonus and equity awards. Eligibility and amounts are determined by performance and the terms of the applicable plans.
The location for this role is listed above. For base pay range purposes, location-based compensation is grouped into the following regions. Your region is determined by your assigned work location.
- Region A: Menlo Park Office, New York Office, SF Bay Area, New York Metro Area
- Region B: Seattle Office, Seattle, Los Angeles/Orange County, San Diego, Austin, Boston, Washington DC Metro Area, Miami
- Region C: All other U.S. locations
Salary Ranges:
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources:
AI Use in Interviews
Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.
Equal Opportunity:
Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.
Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
Ready to apply?
Apply to Moloco
Staff Data Scientist, Product Analytics - Ads Supply
About Moloco:
Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
The impact you'll be contributing to Moloco:
Product Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Staff Data Scientist, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, fraud detection) and customer needs, and provide the data driven insight and scientific solutions.
Here’s what you’ll be working on:
- This leader will own the multi-year strategy, roadmap, and execution across the ads supply ecosystem:
- Supply Exchange & Inventory Integrations: Drive Moloco’s OpenRTB integrations with top-tier third-party supply partners and exchanges, expanding Moloco’s access to high-quality, global, multi-format inventory across gaming and non-gaming verticals.
- Lead Moloco’s end-to-end General Supply strategy, including Exchange integrations, OpenRTB supply diversification, publisher onboarding, and supply ecosystem expansion.
- Define, evangelize, and deliver a multi-year supply vision that improves supply quality, scalability, integration reliability, and long-term differentiation
- Conducting deep-dive analysis and experiments to influence product decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers.
Basic Qualifications
- Distinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time.
- Proven ability to own complex projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations.
- Excellent verbal and written communication skills, with ability to present information and analysis results effectively.
- Statistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
- Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr).
- Ability to build positive relationships within the DS team and with our stakeholders, and work effectively with cross-functional partners in a global company.
- 6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.
Preferred Qualifications:
- Advanced degree. PhD is highly desirable.
- Deep expertise in the programmatic supply ecosystem, including ad exchanges, SSPs, OpenRTB protocols, auction mechanics, and cross-platform integration
- Demonstrated ability to drive cross-org alignment, influence senior stakeholders (Directors/VPs), and execute through large engineering teams
- Familiarity with publisher ad servers, targeting logic, and impression delivery workflows
- Deep knowledge of supply-side performance metrics such as fill rate, eCPM, latency, bid density, impression opportunities, and unique users—and how to optimize for them
- Hands-on experience with integrations and partner-facing APIs, including defining requirements for interoperability with DSPs, exchanges, ad networks, DMPs, and other adtech partners
Our Compensation And Benefits (for United States Residents Only)
In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources:
AI Use in Interviews
Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.
Equal Opportunity:
Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.
Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
Ready to apply?
Apply to Moloco
About Moloco:
Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
About the Role:
We are looking for a Staff Software Engineer to join our Ads Data Warehouse team, which builds and evolves the core data infrastructure that powers all data-driven products and analytics across the company.
The Data Warehouse team is responsible for foundational systems such as data lineage, data catalog, access control, and compliance frameworks—enabling teams to securely and efficiently leverage data for decision-making, analytics, ML modeling, and Ads optimization.
As a Staff Engineer, you will define the technical vision and strategy for the Ads Data Warehouse, ensuring that our infrastructure scales to meet the growing complexity of our Ads ecosystem. You will lead architectural design, drive cross-team initiatives, and mentor engineers across teams. Your work will establish the foundation for reliable, compliant, and discoverable data across the entire company.
Responsibilities:
- Define and drive the technical roadmap and architecture, aligning the direction with product, analytics, ML, and infrastructure needs.
- Lead the design and evolution of core data systems, including data lineage, metadata management, and data catalog systems.
- Partner with cross-functional leaders to establish data governance, access control, and compliance frameworks that ensure data integrity and regulatory alignment.
- Build and scale high-reliability systems that power both real-time and batch data workflows across Ads and analytics use cases.
- Influence engineering culture by defining best practices for data modeling, observability, and developer experience.
- Drive cross-org initiatives to improve data quality, discoverability, and system adoption.
- Mentor senior engineers and help develop technical leadership across the data and infrastructure organization.
- Act as a trusted technical advisor to product and engineering leadership on strategy and scaling challenges.
Qualifications:
- Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field.
- 8+ years of experience in software engineering, with a strong focus on data infrastructure, platform systems, or distributed architectures.
- Proven experience designing and scaling large-scale data platforms or data-intensive systems.
- Strong proficiency in Golang, Python, or Java.
- Deep understanding of distributed systems, metadata management, and data modeling principles.
- Hands-on experience with cloud data platforms (e.g., GCP, AWS, Azure) and data orchestration frameworks (e.g., Airflow, Beam, Dataflow, Kafka).
- Demonstrated ability to define and lead complex technical initiatives that span multiple teams or domains.
- Excellent communication skills, with the ability to influence and align stakeholders across engineering, product, and compliance.
Preferred Qualifications:
- Experience leading the design and development of data governance systems at scale, such as data catalog, data lineage, and/or data asset management.
- Expertise in data governance, access control, and privacy compliance frameworks (e.g., GDPR, CCPA).
- Deep understanding of metadata-driven architectures, data quality frameworks, and observability systems.
- Proven ability to set long-term technical direction, guide multiple teams through architectural transitions, and drive platform adoption.
- Recognized for technical mentorship, thought leadership, and fostering a culture of excellence in data infrastructure engineering.
Our Compensation And Benefits (for United States Residents Only)
In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources:
AI Use in Interviews
Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.
Equal Opportunity:
Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.
Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
Ready to apply?
Apply to Moloco
Sr AI Engineer
The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more.
Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly.
The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you.
What we do
You’ll join a software engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.
Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.
As a Senior AI Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.
What you’ll do:
Some of the work that you will be doing to help us deliver on our mission is:
- Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
- Develop Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
- Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
- Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
- Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
- Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
- Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.
Who you are:
- You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
- You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
- You are proficient in Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
- You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
- You have a good foundational knowledge of or hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and prompt engineering using LLM APIs.
- You have experience productionizing applications and implementing CI/CD pipelines to ensure reliable, scalable deployments.
- You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
- You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
- You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.
#LI-TP1
A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked.
The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.
[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
#LI-TP1
In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan.
The Trade Desk also offers a competitive benefits package. Click here to learn more.
Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave
As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive.
Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process.
When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.
Ready to apply?
Apply to The Trade DeskSr AI Enterprise Engineer
The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more.
Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly.
The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you.
What we do
You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.
Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.
As a Sr AI Enterprise Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.
What you’ll do:
Some of the work that you will be doing to help us deliver on our mission is:
- Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
- Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
- Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
- Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
- Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
- Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
- Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.
Who you are:
- You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
- You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
- You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
- You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
- You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
- You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
- You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.
#LI-TP1
A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked.
The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.
[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
#LI-TP1
In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan.
The Trade Desk also offers a competitive benefits package. Click here to learn more.
Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave
As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive.
Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process.
When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.
Ready to apply?
Apply to The Trade DeskSr AI Enablement Engineer
The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more.
Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly.
The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you.
What we do
You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.
Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.
As a Sr AI Enablement Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.
What you’ll do:
Some of the work that you will be doing to help us deliver on our mission is:
- Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
- Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
- Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
- Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
- Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
- Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
- Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.
Who you are:
- You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
- You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
- You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
- You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
- You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
- You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
- You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.
#LI-TP1
A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked.
The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.
[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
#LI-TP1
In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan.
The Trade Desk also offers a competitive benefits package. Click here to learn more.
Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave
As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive.
Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process.
When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.
Ready to apply?
Apply to The Trade DeskSr AI Solutions Architect
The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more.
Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly.
The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you.
What we do
You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.
Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.
As a Sr AI Solutions Architect on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.
What you’ll do:
Some of the work that you will be doing to help us deliver on our mission is:
- Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
- Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
- Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
- Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
- Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
- Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
- Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.
Who you are:
- You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
- You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
- You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
- You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
- You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
- You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
- You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.
#LI-TP1
A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked.
The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.
[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
#LI-TP1
In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan.
The Trade Desk also offers a competitive benefits package. Click here to learn more.
Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave
As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive.
Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process.
When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.
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