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

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

We are seeking a highly skilled Senior Staff Software Engineer with deep technical expertise in Security and a passion for building secure, reliable, and scalable systems. This role focuses on technical leadership, architecture, and hands-on development to ensure the security and resilience of our core platforms.

You will drive the security, quality, and reliability of backend systems while influencing architecture decisions, mentoring engineers, and partnering with product teams on strategic initiatives.

What You Will Do

• Architect and implement secure, scalable backend systems using Java (Spring Boot) and AWS cloud-native services.
• Lead technical design reviews, enforce security best practices, and ensure system reliability and performance.
• Develop and integrate security features such as authentication, authorization, and identity management (SSO, OIDC, RBAC/ABAC, SCIM).
• Design and implement API security patterns and API authorization at scale for microservices and service mesh environments.
• Embed Generative AI capabilities (e.g., embeddings, RAG, LLM APIs) into product workflows securely and responsibly.
• Write and review code, unblock complex technical challenges, and make critical architectural decisions.
• Champion secure SDLC practices, cryptography standards, and compliance requirements.
• Collaborate with cross-functional teams to define technical roadmaps and deliver mission-critical systems at scale.

Minimum Qualifications

• Bachelor’s degree in Computer Science or related technical field.
• 8 years of professional software development and security engineering experience.
• Proven experience designing and developing large-scale distributed systems.
• Strong knowledge of security architecture

Preferred Qualifications

• Recent hands-on experience (last 3–4 years) building secure, distributed systems at scale, with strong exposure to AI/ML development and hosting in production environments.
• Experience with cloud platforms (AWS, Azure, GCP) for identity, ML infrastructure, and secure deployment.
• Familiarity with Generative AI integration and responsible implementation of LLM-based workflows.
• Exposure to data security principles, including encryption, secure data pipelines, and compliance frameworks.
• Ability to influence technical direction and mentor engineers in security best practices.
• Proven track record of delivering mission-critical, scalable systems in production at enterprise scale.
• Expertise in Java, Spring Boot, and AWS architecture/services (EKS, S3, Lambda, RDS, IAM, KMS).
• 7+ years of solid experience with fundamental algorithms, system design, and large distributed systems.
• Deep experience in cryptography and PKI systems, including certificate management and secure key lifecycle
• 7+ years of coding experience, specifically in Java.
• Strong knowledge of security architecture, authentication/authorization, and cryptographic principles.
• Hands-on experience in building large-scale serving and data infrastructure.
• Experience with service-oriented architecture and web application/services development
• Practical experience in utilizing AWS (Amazon Web Services).
• Experience in designing and constructing machine learning-based applications and systems.
• Experience in leading cross-team system design and execution.

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 this position ranges from $174,00/year to $299,000/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  

• 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
• 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.  

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/

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com.

Job Requisition ID: R0067878

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

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

What We're Looking For

We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. 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 (Seattle, NYC, SF, 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 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 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

• Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential.
• Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus.
• Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
• Proven ability to take ownership of key features and drive end-to-end development
• Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production.
• Hands-on experience as a backend or product engineer in a SaaS technology company
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

As a Contract Senior Technical Sourcer, you will be a key partner in scaling our technical teams during a critical phase of growth. You’ll work closely with recruiters and hiring leaders to build high-impact sourcing strategies, engage top-tier talent, and ensure a strong, mission-aligned candidate pipeline.

This position is based in Seattle with an expectation of 4 days per week in-office.

What you’ll do:

• Design and execute strategic sourcing initiatives across our most important software engineering roles
• Partner closely with recruiters and hiring managers to develop tailored sourcing strategies
• Conduct in-depth candidate screens, evaluating technical capabilities, problem-solving ability, and alignment with company mission and stage
• Use market insights and talent mapping to inform hiring strategy and improve pipeline quality
• Support broader recruiting initiatives and contribute to process improvements as the company scales

Knowledge, Skills, and Abilities for Success:

• 5+ years of technical sourcing or recruiting experience
• Demonstrated success sourcing for high caliber, Sr. Software Engineers in high growth startups
• Proven ability to think strategically about talent pipelines, not just execute outbound sourcing
• Hands-on experience with Greenhouse ATS and modern sourcing tools (LinkedIn Recruiter, GitHub, etc.) 
• Excellent communication and stakeholder partnership skills
• Ability to thrive in a fast-paced, highly collaborative, in-office environment

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

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

As a Electrical Engineer, Edge Compute at Carbon Robotics be a key part of the team that designs and manages the distributed computing infrastructure that is the heart of our robots. You are responsible for the specification, design, vendor management, integration, and thermal/electrical management of the compute and network clusters. You’ll ensure our mobile platforms can survive the harsh vibrations, dust, and heat of the farm while maintaining peak processing performance. You’ll do whatever it takes - which might include going to the farm - to ensure our customers have reliable and safe products.

What you’ll do:

• Work in a fast-paced, multi-disciplinary team to design revolutionary products
• Own the specification, design/selection, qualification and integration of high-performance compute and network modules.
• Lead testing of compute and networking hardware through environmental, power quality, and EMI/EMC qualification campaigns. 
• Interface with hardware vendors to source components, define assembly work instructions, and ensure quality of compute assemblies.  
• Quickly prototype, troubleshoot, and iterate solutions for electrical signaling issues, PCIe/USB/Ethernet bottlenecks, and hardware-level failures in the field

Knowledge, Skills, and Abilities for Success:

• 5+ years experience as an Electrical Engineer 
• Experience designing production embedded hardware, with at least one full carrier board or SoM-based design taken to volume manufacturing
• Experience with PCIe Gen3/4, MIPI CSI-2, USB 3.x, and DDR4/LPDDR5 design and testing
• Significant experience designing compute systems for harsh outdoor environments with intermittent connectivity
• Experience with Altium Designer
• Experience with low-level Linux systems, including driver configuration, device trees, and board support packages (BSP) is a plus
• Experience with SolidWorks is a plus

• Experience with Jira is a plus
• Hands on experience in hardware debug and automated verification
• Demonstrated ability to work with a team to achieve timely objectives
• Awareness of industry standards and regulations (SAE, ISO, IPC, etc.)
• Effective verbal and written communication skills and a desire to work in multidisciplinary teams
• BS+ in Electrical Engineering, Mechanical Engineering or related field

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.

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.

About the Role
We are seeking an experienced research engineer to join our team. As a critical member of our interdisciplinary group, you will collaborate closely with AI scientists, engineers, and drug discovery experts to develop and deploy AI models that accelerate the identification and development of novel therapeutics. This role offers the opportunity to apply cutting-edge AI techniques in production settings to address pressing challenges in healthcare and contribute to improving human health globally.

We are particularly interested in candidates who have demonstrated experience building and delivering machine learning systems in industry environments, where rigor, scalability, and cross-functional collaboration are essential. The ideal candidate has experience translating research ideas into robust, production-ready solutions that drive measurable impact.

The role is open to the following locations: San Francisco Bay Area, Seattle

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related fields; advanced degree preferred
• Minimum of five years of industry experience in AI, machine learning, or related roles, with a track record of implementing, scaling, and deploying AI models in production environments.
• Expertise with modern deep learning toolchains and experience with large scale model training.
• Strong understanding of deep learning fundamentals.
• Excellent problem-solving skills, with a keen eye for detail and a passion for tackling complex challenges in the life sciences.
• Effective communication and collaboration abilities, with the capacity to work effectively in a fast-paced, multidisciplinary team environment.
• Publication track record at conferences such as NeurIPS, ICML, or ICLR is a plus, though demonstrated industry impact is prioritized
• If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply!

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $190,000 - $280,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

Position Overview

Xaira is seeking enthusiastic and motivated candidates to join our team! As an AI Scientist, you will have prior experience in developing and implementing new deep learning methods while upholding a track record of AI Innovation demonstrated through publications in Artificial Intelligence/Machine Learning or projects applying them to interdisciplinary fields. You will be a crucial member of our core AI team, comprising highly creative and talented peers who are all experts in developing state of the art AI models. With your team, you will initiate and drive new projects that advance the SOTA AI models for biology impacting drug discovery and clinical development. You will also have the chance to work closely with interdisciplinary experts with world-class biology, drug discovery, and clinical expertiseWe welcome candidates with diverse backgrounds and experiences. We welcome candidates across the spectrum of experience. Teams thrive when they are diverse (across all axes), and we encourage all eligible applicants to apply.

The role is open to the following locations: San Francisco Bay Area, Seattle and London.

Key Responsibilities

• Completed (or within one year of completing) a PhD in an AI or AI-adjacent field.
• Excited to work, learn and teach within a collaborative team working on challenging problems.

Desirable

Below is a list of qualities/experiences that align with the kinds of things that we are looking for. Please do not read this as an extension of the “requirements” section! We recognise that experiences, opportunities and life-paths vary.

• Publications in journals or ML conferences.
• Public codebases or contribution to public GitHub repositories.
• Industry experience in an AI company, such as an internship or full-time position.
• Knowledge or experience in BioAI.
• Experience building and training neural networks.
• Experience training models across multiple GPUs.

If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply and join us in our mission to make a positive difference in the world.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $120,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

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

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.

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.

The Opportunity:

• Own, develop, and execute the product strategy for the end-to-end ad product
• Expansion of our technology footprint in the adtech ecosystem across gaming categories, including net new vertical work
• Take new products to market and drive scaled adoption
• Identify growth opportunities and build strategic partnerships

The Impact You Will Have at Moloco:

• Delivering Delightful Advertiser Experiences: You will understand advertiser needs and pain points, and then lead teams to build intuitive, engaging, and indispensable products. 
• Driving Measurable Business Growth: You will own the P&L for an ad product and directly contribute to key business metrics such as revenue, retention, and RoAS.
• Fostering Innovation and Market Leadership: You would be at the forefront of identifying new market opportunities and technological advancements, guiding teams to innovate and launch features that set new industry standards. This involves anticipating future trends and ensuring the product stays ahead of the competition.
• Strategic Influence Across the Organization: You would serve as a key voice for the advertiser, influencing cross-functional stakeholders from engineering and design to marketing and sales. Your ability to articulate the product vision and rally resources would ensure that product initiatives are well-supported and seamlessly integrated across the company, driving a unified approach to serving our users.

Minimum Qualifications:

• Entrepreneurial and innovative spirit, 0 to 1 experience, this includes experience in a startup-like environment, adaptability, bias for action, and comfort with ambiguity
• End-to-end adtech experience
• Experience taking products to market and driving adoption
• Experience working with cross-functional stakeholders. This includes diving deep and earning the respect of your technical counterparts 
• 7+ years of adtech experience 
• Performance adtech experience 

Preferred Qualifications:

• In-depth understanding of the programmatic advertising landscape, including DSPs, SSPs, ad exchanges, ad servers, DMPs, CDPs, and other key components
• Experience with various ad monetization models (e.g., impression-based, click-based, performance-based) and how ad serving works
• Understanding of data privacy regulations (e.g., GDPR, CCPA) and their impact on advertising practices, as well as the responsible use of first-party and third-party data
• Familiarity with different ad formats (display, video, native, in-game ads) and an ability to drive innovation in ad experiences that are user-friendly
• Mobile adtech experience is preferred

The Opportunity: 

• Moloco Ads is seeking a seasoned Director of Product Management to lead and scale our global Supply Product organization. This leader will own the multi-year strategy, roadmap, and execution across:
  • 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 differentiationPartner with and influence a 100+ engineering organization across the US and Korea, setting product direction and ensuring alignment across teams

Minimum Qualifications:

• 10+ years of Product Management experience in programmatic adtech, with demonstrated success shaping strategy and leading high-impact product areas at scale
• Deep expertise in the programmatic supply ecosystem, including ad exchanges, SSPs, OpenRTB protocols, auction mechanics, and cross-platform integration
• Extensive hands-on experience with Exchange, SSP, or OpenRTB integrations, owning the partner lifecycle end-to-end
• Strong technical fluency—capable of guiding decisions on supply architecture, ad serving flows, bidder interactions, latency and yield optimization, and OpenRTB integration patterns
• Demonstrated ability to drive cross-org alignment, influence senior stakeholders (Directors/VPs), and execute through large engineering teams
• Experience leading complex, multi-year roadmaps in ambiguous, high-velocity environments

Preferred Qualifications:

• Degree in Computer Science, Statistics, or a related technical or analytical field
• Deep understanding of publisher business models and monetization needs, including their concerns around ad fraud and the tools commonly used for mitigation
• Strong market analysis skills to identify competitive advantages, emerging technologies, and supply-side trends—particularly around evolving fraud tactics (e.g., SIVT, domain spoofing, ad stacking, click farms) and anti-fraud solutions
• In-depth knowledge of Supply-Side Platforms (SSPs): their core functionality, technical architecture, and competitive landscape
• Demonstrated ability to identify, negotiate, and scale strategic supply partnerships that generate meaningful business impact
• Proven ability to lead cross-functional execution in fast-paced, ambiguous environments, aligning stakeholders and partnering with global teams across GTM and roadmap cycles.
• Expertise in Header Bidding and Server-to-Server (S2S) Bidding, with a strong understanding of implementation tradeoffs, yield optimization, and latency management
• Familiarity with publisher-side ad servers: key integration points, targeting logic, and impression delivery mechanics
• Hands-on experience with integrations and partner-facing APIs, including defining requirements for interoperability with DSPs, exchanges, ad networks, DMPs, and other adtech partners
• 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
• Technical understanding of ad serving mechanics: from ad request to creative rendering

The Impact You'll Be Contributing to Moloco:

• Define and scale Moloco’s General Supply strategy, ensuring Moloco Ads becomes a top-tier, diversified, high-performance supply destination
• Own the roadmap, PRDs, and value proposition across Exchange integrations, OpenRTB supply, supply expansion, and integration infrastructure
• Lead strategic and operational execution across engineering, data science, GTM, and regional teams to deliver measurable business impact
• Synthesize complex supply-side and partner data into insights that inform long-term product direction and operational excellence
• Monitor ecosystem shifts—including identity, privacy, bidding mechanics, rendering requirements, and publisher concerns—and translate trends into roadmap decisions
• Drive partner integration strategy, defining how external supply partners integrate with Moloco’s systems to maximize performance and differentiation.

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.

The Impact You’ll Be Contributing to Moloco

You will lead the product strategy for CTV User Understanding within Moloco Ads, building the foundational capabilities that power identity, features, and signals across our machine learning-driven ads platform.

This includes defining how we:

• Establish durable, privacy-conscious identity across devices (e.g., connecting CTV environments with mobile signals)
• Extract maximum value from 1P and 3P data sources (e.g., UPT, Lotame, and future signals)
• Enable advertisers to use their 1P data to target and exclude specific audiences at scale

Your work will directly influence model performance, targeting accuracy, and overall advertiser outcomes across Moloco’s ecosystem.

The Opportunity

As a Group Product Manager at Moloco, you will operate at the intersection of machine learning, large-scale data systems, and performance advertising. You’ll partner closely with engineering and data science to define and execute on a roadmap that turns complex data into measurable business impact.

This role requires a first-principles thinker who thrives in ambiguity, can context switch effectively, and has a track record of building and scaling products from 0→1 through growth. You will own a critical, horizontal layer of the ads stack and play a key role in shaping the future of targeting and identity in a privacy-first world.

How Do I Know if the Role is Right For Me?

• 9–12 years of experience, with 8+ years in Product Management
• Proven track record owning platform, infrastructure, or data-driven products end-to-end
• Experience defining ambiguous problem spaces and translating them into clear product strategies
• Strong analytical mindset with the ability to make decisions in data-sparse environments
• Deep curiosity about customer needs and ability to translate them into scalable solutions
• Comfortable operating in fast-paced, highly collaborative, and globally distributed teams
• Experience in ad tech, CTV, identity, targeting, or machine learning systems is strongly preferred
• Track record of building and scaling B2B products, ideally in high-growth environments

The Opportunity: 

We are looking for a seasoned Group Product Manager to lead a critical and highly strategic charter for Supply Quality & Fraud Mitigation Across All Moloco Ads:

• Own the end-to-end product strategy and multi-year roadmap for Moloco’s Supply Quality & Invalid Traffic (IVT) platform
• Establish fraud and supply-integrity standards across all Moloco Ads supply sources, ensuring consistent detection, prevention, and enforcement
• Evaluate, select, and manage third-party fraud/IVT detection partners, owning vendor strategy, tradeoffs, and integration requirements
• Build in-house fraud and invalid-supply detection/mitigation systems where strategic, technical, or performance advantages justify internal investment
• Define and operationalize internal workflows and enforcement mechanisms to ensure scalable, consistent classification, mitigation, and quality control
• Partner closely with Engineering, Data Science, Policy, Business Operations, and GTM teams to ensure Moloco maintains industry-leading supply integrity protections for advertisers

Minimum Qualifications:

• 7+ years of experience in product management related to programmatic adtech
• Programmatic adtech ecosystem expertise, with a specific focus on supply-side mechanics
• Deep understanding of how ad exchanges operate, OpenRTB standards, and how SSPs connect into DSP systems
• Experience owning integrations with external exchanges, SSPs, or SDK-based supply
• Hands-on experience designing, deploying, or managing IVT detection methodologies and fraud prevention strategies within programmatic advertising environments

Preferred Qualifications:

• Degree in Computer Science, Statistics, or a related technical/analytical field
• Deep understanding of publisher monetization models and their fraud/IVT concerns
  
  
• Strong market analysis capabilities—particularly in fraud tactics (SIVT, domain spoofing, ad stacking, click farms) and anti-fraud solutions
• Experience evaluating and managing third-party vendor solutions and strategic partnerships
• Proven leadership driving cross-functional execution across engineering, data science, GTM, and operations
• Familiarity with publisher ad servers, targeting logic, and impression delivery workflows
• Hands-on experience integrating external fraud/IVT detection partners or verification signals into internal systems—including ingestion, classification, and enforcement workflows
• Deep understanding of supply-side performance metrics such as fill rate, bid density, latency, inventory quality signals, and how IVT mitigation impacts them
• Technical understanding of ad-serving mechanics from bid request to creative rendering

The Impact You'll Be Contributing to Moloco:

• Own and drive the multi-year roadmap for Moloco’s Supply Integrity and IVT platform
• Launch fraud detection and mitigation capabilities that protect advertisers and ensure high-quality supply
• Partner with Engineering, Data Science, GTM, Ops, Legal, and Policy to deliver high-impact solutions
• Leverage internal and external signals to inform strategy, detection models, and enforcement mechanisms
• Stay ahead of emerging IVT threats and industry trends, defining new standards and protections
• Build scalable operational workflows for classification, enforcement, monitoring, and issue response
• Define integration requirements for third-party fraud/verification partners
• Resolve supply-integrity issues and implement long-term, systemic fixes

About the Role

The impact you'll be contributing to Moloco:
The Research Science (RS) team focuses on the operation and optimization of our software systems working closely with infrastructure engineering teams, machine learning teams and data science teams. As an Applied Scientist, you will participate as an individual contributor on research projects alongside other research scientists within the context of a group of cross functional collaborators working in complex multi-causal environments to identify inefficiencies, analyze potential options, and propose solutions. Your work will contribute to driving performance improvements and cost reductions, debugging and investigating production issues, and stabilizing our core system as you develop a deep end-to-end understanding of the system.

Here’s what you’ll be working on:

• Work with other applied scientists on projects to evaluate the health of both internal and external components to make sure the Moloco system is running safely and efficiently.  
• Learn from your senior peers how to identify new areas to improve our infrastructure and machine learning components by understanding internal system changes, external changes, and data changes, and identify and suggest interesting/useful next steps for your projects.
• Complete task as part of larger projects to complete deep unbiased analyses.  
• Implement, and evaluate new algorithms and features in collaboration with senior Applied Scientists, Software Engineers and Machine Learning Engineers.

Basic Qualifications:

• Advanced degree in Computer Science, Mathematics or related field, or industry experience in optimization of market prices or ML systems
• At least 4 years of engineering or applied science experience
• Proficient verbal and written English communication skills, with the ability to contribute to the creation of presentations and reports
• Quick understanding of new information and the demonstrated ability to learn new technical skills across engineering, machine learning, and data science 
• Track record of building positive relationships with collaborators and stakeholders and working effectively with cross-functional partners in a global company

The Impact You’ll Be Contributing to Moloco: 

The Customer Engineering (CE) team at Moloco partners with the Business Development (BD) and Product/Engineering teams to be the trusted technical advisors for Moloco’s clients. You will help the retail media platform owners to successfully build an in-house advertisement business for clients using the Moloco Commerce Media (“MCM”), a machine learning-powered AdTech solution. 

Within the MCM org, the Customer Engineering team (CE) is responsible for driving the successful adoption of Moloco Commerce Media, serving as GTM champions and technical experts. The CE team will drive the successful adoption of our products by advising clients on the best technical implementation and delivering training, architecture design consultations, and best practices. The CE team identifies gaps in the product, develops technical solutions, and communicates feature requests to product, engineering, and other cross-functional partners to shape product direction.

The Opportunity: 

• Be the trusted technical advisor for clients by offering guidance on platform integration, optimization, and troubleshooting.
• Understand clients' business objectives and challenges to provide tailored technical solutions and recommendations.
• Collaborate with BD teams to support pre-sales activities, including product demonstrations, technical consultations, and solution design.
• Lead technical implementation projects, including platform setup, configuration, and customization, to meet clients' requirements and deadlines.
• Conduct training sessions and workshops to educate clients on best practices, new features, and industry trends.
• Proactively identify opportunities for process improvement, feature enhancements, and product innovation based on client feedback and market insights.
• Stay abreast of industry developments, emerging technologies, and competitive landscape to maintain a deep understanding of the AdTech ecosystem.

How Do I Know if the Role is Right For Me? 

• 8+ years of professional experience within cloud, software, or machine learning domain areas like software engineering, systems engineering, machine learning, cloud infrastructure architecture, networking, security, data and analytics. 
• 5+ years in technical field roles – like Solutions Architect, Customer Solutions Engineer or Professional Services Consultant – in the retail or the AdTech industry.
• 3+ years of hands-on implementation, architecture design, or consulting experience in the application or the cloud infrastructure. 
• Strong technical and problem-solving skills, the ability to understand and troubleshoot systems and application flows, dive deep into complex problems & find their root cause.
• Experience in a technical role within the AdTech industry, preferably with hands-on experience in ad serving platforms, programmatic advertising, or related technologies.
• Comfortable communicating technical concepts to both technical and non-technical audiences.
• Demonstrated experience to autonomously identify goals and effectively deliver the goals along with the cross-functional internal and external stakeholders.

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).

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

The Impact You’ll Be Contributing to Moloco
Help shape the end-to-end experience of Moloco’s Commerce Media products by designing intuitive, data-informed workflows that enable retailers and merchants to unlock the full value of their advertising and retail media programs.

This is a senior IC role with meaningful autonomy and influence. You'll help shape the team's roadmap, navigate ambiguity, and partner closely with Product, Engineering, and other cross-functional stakeholders to craft experiences that directly drive business outcomes and growth for Moloco Commerce Media.

The Opportunity

• Define and iterate on core product experiences across Moloco Commerce Media — from advertiser-facing campaign management to retailer-facing admin tools — balancing usability with the realities of a complex, data-heavy product.
• Translate ambiguous, multi-sided problems into clear workflows, interaction patterns, and prototypes that move product strategy forward.
• Lead end-to-end design cycles  from discovery through prototyping and shipped execution in close partnership with Product, Engineering, and Data.
• Push the product forward beyond where it is today by surfacing opportunities, advocating for new bets, and helping decide what we build next.

How Do I Know if the Role is Right For Me?

• Bring 6+ years of professional product design experience, shipping complex product experiences in B2B, analytics, fintech, or adtech/commerce platforms at scale.
• A track record of framing ambiguous problems and using research, data, and experimentation to refine solutions over time.
• Comfortable using AI across your daily design practice from discovery, ideation, to validation. 
• Communicate clearly and proactively, using storytelling and prototypes to make complex concepts legible and align stakeholders.
• Collaborate effectively with cross-functional partners (Product, Engineering, Data) to balance user needs, technical constraints, and business goals to drive product quality and usability across complex and analytical surfaces. 
• Strong interaction and product design craft, with a high bar for shipping production-quality work.
• Track record of working with or contributing to a design system, evolving patterns as the product matures.
• Passionate about mentoring other designers and contributing to strengthening the team culture.
• A growth mindset. You seek feedback often, change your mind when the evidence says to, take ownership of outcomes, and stay productive when priorities shift.

The Impact You’ll Be Contributing to Moloco

You will own the product strategy for CTV Advertiser Success within Moloco Ads, building the capabilities that help advertisers understand, trust, and improve campaign performance.

This includes:

• Owning the roadmap for insights and reporting products that deliver reliable, transparent, and actionable data to advertisers for campaign performance
• Driving advertiser outcomes by partnering with Data Science to analyze, diagnose, and improve campaign performance
• Developing integrations with key partners across the CTV measurement ecosystem to enable holistic performance visibility

Your work will directly influence advertiser trust, performance outcomes, and long-term adoption of Moloco’s CTV solutions.

The Opportunity

As a Senior Product Manager at Moloco, you will work at the intersection of ads performance, data, and measurement. You’ll partner cross-functionally with engineering, data science, and business teams to define and execute a roadmap that makes campaign performance more transparent and actionable for advertisers.

This role requires strong product execution, the ability to translate complex data into intuitive user experiences, and a deep understanding of advertiser needs. You will play a key role in shaping how Moloco delivers insights, reporting, and ecosystem connectivity in a rapidly evolving CTV landscape.

How Do I Know if the Role is Right For Me?

• 4–8 years of experience in Product Management or closely related roles in ad tech, data products, or performance marketing
• Experience working with campaign performance data, analytics, or measurement systems
• Strong ability to translate complex data into clear product experiences and insights
• Proven track record of driving cross-functional execution with engineering, data science, and business teams
• High attention to detail with a strong sense of ownership and accountability
• Comfortable operating in ambiguous, fast-paced environments
• Experience with CTV, programmatic advertising, or measurement/attribution ecosystems is strongly preferred
• Strong communication skills with the ability to influence stakeholders and align teams around product direction

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.

About the Team:

The Ads Platform, Experiment team owns Moloco's company-wide experimentation infrastructure. We build the systems that help teams roll out changes safely, measure impact rigorously, and make better product and business decisions with confidence.

Our scope spans experiment lifecycle management, dynamic configuration and feature flag delivery, and the data pipelines and statistical tooling that power experiment analysis. We work at the intersection of backend infrastructure, data systems, and internal product development, partnering closely with engineers, data scientists, and statisticians.

About the Role:

As a Senior Software Engineer on the Experiment Platform team, you will lead the design and evolution of high-leverage systems that shape how Moloco runs experiments across products. You will own important technical areas end-to-end, drive sound engineering decisions in ambiguous problem spaces, and build platforms that improve the speed, safety, and trustworthiness of experimentation company-wide.

This role is well-suited for engineers who combine strong execution with technical judgment, enjoy working across backend and data system boundaries, and want to raise the quality bar for an internal platform used by many teams.

Responsibilities:

• Lead the design and implementation of major components across experiment management services, configuration delivery systems, and analysis pipelines.  
• Own technical decisions for platform areas that require balancing correctness, reliability, performance, and ease of adoption.  
• Improve the trustworthiness of experimentation by strengthening system design, observability, data quality, and operational standards.  
• Partner closely with engineers, data scientists, statisticians, and stakeholders to turn ambiguous requirements into scalable platform capabilities.  
• Mentor other engineers through design discussions, code reviews, and pragmatic technical leadership.

Minimum Qualifications:

• 5+ years of professional software engineering experience in a production environment.
• Strong hands-on experience in backend systems, data infrastructure, distributed systems, or other relevant platform areas.
• Proven ability to independently drive technical projects from problem definition through production rollout in ambiguous problem spaces.
• Strong engineering judgment in system design, operational reliability, maintainability, and cross-functional execution.
• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.

Preferred Qualifications:

• Experience designing and implementing experimentation platforms, A/B testing systems, feature flagging systems, or dynamic configuration platforms.
• Experience owning platform or infrastructure systems used by multiple engineering teams.
• Experience working with analytical data systems, metrics pipelines, or data quality and correctness challenges.
• Familiarity with advertising, mobile product ecosystems, or performance-driven product environments.

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

The impact you'll be contributing to Moloco:

Creatives are one of the highest-leverage levers in Moloco Ads: they shape what users see, how they interact, and ultimately how much value advertisers extract from our platform. As formats grow more complex (video, playables, rich HTML) and surfaces diversify across exchanges, SDK, and new inventory types, our creative systems must do more than just serve assets — they must learn, adapt, and guide advertisers toward better outcomes.

This space sits at the intersection of ML/bidding, supply, and UI/UX for advertisers. Strong product decisions here directly influence company toplines, ROAS and advertiser retention. At the same time, weak creative strategy can quietly erode performance, create operational noise, and diminish trust in our optimization systems. We need a Staff Product Data Scientist who can bring structure, rigor, and long-term thinking to this inherently noisy problem space.

The person will be the analytical and product thought partner for the Creatives team, owning the data narrative across ideation, launch, and iteration of creative features and strategies. This is not a “support” role; it is a co-owner of the creative roadmap.

Here’s what you’ll be working on:

This role is critical to ensuring that Moloco’s creative systems become a long-term competitive advantage, not just a collection of formats and features.

• Be recognized as a thought leader in the creative domain, someone whose perspective is actively sought when making high-stakes product calls. For example, influence which creative problems we choose to solve, not just how we measure the outcomes.
• Establish a trusted, repeatable framework for measuring creative impact that the organization rallies around. This will enable PM/ENG to ship creative features faster and with more confidence, backed by well-designed experiments and clear success criteria.
• Reduce ad-hoc fire drills by building durable monitoring, diagnostics, and documentation that make creative performance and adoption more transparent.

Minimum Qualifications

• Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Physics) or equivalent practical experience.
• 8+ years of experience (or PhD + 6 YoE) in data science, product analytics, or a closely related quantitative field, including significant time as a product-facing IC.
• Proven track record of partnering with Product and Engineering to shape roadmaps, define success metrics, and drive decisions through data.
• Demonstrated ability to operate with high ownership and autonomy, including scoping ambiguous problems and driving them to closure.
• Comfort working across time zones and with distributed teams, using strong async communication and documentation habits.

Preferred Qualifications

• Graduate or PhD degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Physics) or equivalent practical experience with 10+ years of experience in related fields. 
• Prior experience in ad tech, marketing science, or related domains where creatives, auctions, or optimization systems are central to performance.
• Hands-on experience with creative analytics (e.g., format benchmarking, asset-level performance analysis, interaction or engagement modeling).
• Experience collaborating closely with ML teams to design, evaluate, and iterate on model features and policies.
• Excellent communication skills: ability to synthesize complex analytical findings into simple, actionable narratives for technical and non-technical audiences.

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.

The Opportunity:

• Be the connective tissue across the organization to keep engineering, product, leadership, and stakeholders aligned on priorities, schedule, risks, and progress.
• Own and drive cross-team initiatives from conception to completion.
• Create and manage cross-team roadmaps, schedule, risks, and issues.
• Own security, privacy, compliance, and operational excellence initiatives.
• Establish scalable, repeatable, and efficient processes and schedules.
• Be a force multiplier by continually improving engineering, product, and operational efficiency across the organization.
• Help grow the TPM function.

Who We’re Looking For:

• You love working on technical initiatives to build and manage large cloud infrastructure.
• You don’t just work with engineering, you’re embedded into the team, shepherding their programs end-to-end.
• You have worked with big cloud players like GCP, AWS, OCI, Azure, etc.

How Do I Know if the Role is Right For Me?

• Experience working with senior leadership, including C-level leaders.
• Excellent oral and written communication skills
• Ability to effectively collaborate and drive consensus with all levels and teams across the company.
• Integral contributor to the development and operational readiness of large scale cloud products.
• Experience managing projects, risks, and dependencies with Product, Engineering, GTM, and cross-functional teams.
• Experience building scalable, sustainable processes and coordinating release schedules across multiple organizations.
• Experience in agile software development methodologies including deploying best practices and SDLC processes.
• 5+ years of technical program management or engineering management experience.
• 7+ years of experience working directly with software, cloud, or data engineering teams.
• Bachelor's degree in computer science, engineering or a related technical discipline.

Preferred Experience:

• Prior experience in ML Infra and Adtech
• Experience with Multi Cloud infrastructure 
• Passionate for learning about technologies and products

The Opportunity:

• Be the connective tissue across the organization to keep engineering, product, leadership, and stakeholders aligned on priorities, schedule, risks, and progress.
• Own and drive cross-team initiatives from conception to completion.
• Create and manage cross-team roadmaps, schedule, risks, and issues.
• Own security, privacy, compliance, and operational excellence initiatives.
• Establish scalable, repeatable, and efficient processes and schedules.
• Be a force multiplier by continually improving engineering, product, and operational efficiency across the organization.
• Help grow the TPM function.

Who We’re Looking For:

• You love working on technical initiatives to build and manage Ad Tech products for ECommerce 
• You don’t just work with engineering, you’re embedded into the team, shepherding their programs end-to-end.

How Do I Know if the Role is Right For Me?

• Experience working with senior leadership, including C-level leaders.
• Excellent oral and written communication skills
• Ability to effectively collaborate and drive consensus with all levels and teams across the company.
• Integral contributor to the development and operational readiness of large scale cloud products.
• Experience managing projects, risks, and dependencies with Product, Engineering, GTM, and cross-functional teams.
• Experience building scalable, sustainable processes and coordinating release schedules across multiple organizations.
• Experience in agile software development methodologies including deploying best practices and SDLC processes.
• 5+ years of technical program management or engineering management experience.
• 7+ years of experience working directly with software, cloud, or data engineering teams.
• Bachelor's degree in computer science, engineering or a related technical discipline.

Preferred Experience:

• Prior experience in ECommerce and Adtech
• Passionate for learning about technologies and products

The Impact You’ll Be Contributing to Moloco: 

As a Strategic Growth Senior Manager you will partner with MCM (Moloco Commerce Media) customers to help them build out a retail media business. You will lead customer relationships with large retailers and marketplaces, functioning as the product and go-to market expert, educating and advising on business setup and growth, retail media strategy, campaign management and optimization, and how to scale a retail media business.

The Opportunity: 

• Enable our retail and marketplace customers to be successful by growing their ads business; crafting GTM strategies with our MCM clients to help drive incremental ad revenue growth.
• Identify growth levers and product improvement opportunities.
• Build and manage strategic customer partnerships with deep understanding of customer verticals.
• Educate business users and advertisers on performance ads values and operations.
• Identify actionable growth initiatives and execute flawlessly to achieve goals.
• Enable decision-making with a data-driven strategy and valuable insights.
• Translate complex data analysis into simple language for clear communications.
• Capture customers’ needs and devise optimized and productive solutions.
• Lead multiple customer meetings and regular business reviews.

How Do I Know if the Role is Right For Me? 

• 4-6 years of relevant work experience, ideally gained at a strategy consulting firm and/or Ad-tech company
• Tech industry and performance advertising/Ad-tech experience, with hands-on exposure to campaigns and/or client accounts. Retail media experience and/or exposure preferred.
• Outstanding communication skills to build trustworthy relationships with customers,  including comfort presenting to senior stakeholders with support as needed.
• Great co-working skills with multiple stakeholders to accomplish business goals, including cross-functional partners (e.g., Product, DS, Engineering).
• Experience managing and executing strategic programs and workstreams; exposure to larger programs is a plus.
• Excellence in problem-solving, logical and out-of-box thinking to meet customer needs, knowing when to bring in senior partners on highly ambiguous topics.
• Rigor with data (exposure to ML-based products is a plus), including comfort using dashboards and analyses to inform recommendations.
• Experience or interest in understanding ML and AI products and communicating value and outcomes to stakeholders in simple, business-friendly language.
• Comfort working in a 0-1 environment with willingness to embrace ambiguity and iterate with guidance from leaders and peers.
• Ownership and passion for continuous growth and creating real value for your customers, team, and Moloco.
• Detail oriented, and yet willing to embrace ambiguity and balance details with the bigger picture.
• Ability to adapt to a fast-growing global company,  with appetite to grow into increasing scope and responsibility over time.

About the role:

As a Product Support Specialist, you’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale. 

Responsibilities:

• Become an expert in all Anthropic products
• Respond to user support cases with a variety of complexity, from questions for individuals to complex API debugging for large businesses 
• Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace
• Manage on-call tasks for high-urgency user issues with extreme ownership
• Prioritize critically and comfortably adapt to an ever-evolving product landscape
• Operate in ambiguity, making informed decisions even in never-before-seen situations
• Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale
• Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates
• Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products

You may be a good fit if you:

• 3 - 5 years of relevant experience in technical product support in a high growth tech company, including API debugging, preferably in a second tier, escalated, or priority support team
• Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease
• Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.)
• Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution
• Have crisp but kind written communication skills and a deep care for the details
• Enjoy helping others learn about new features and complex concepts
• Experience troubleshooting SSO, SAML, and OAuth authentication flows
• Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward
• Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work
• Are proficient at working in a technical environment and are interested in Anthropic’s products
• Possess a deep sense of ownership, and are excited to help us build our team!

Strong candidates may also have:

While not required, we're particularly excited about candidates with one or more of these specializations:

• Comfort with command line interfaces and basic scripting (Bash, Python, JavaScript)
• Understanding of LLM capabilities, practical applications, and current limitations
• Familiarity with enterprise networking concepts and IT infrastructure
• Familiarity with Git workflows and version control concepts
• SQL proficiency for querying logs and investigating issues
• Experience supporting government or public sector customers, including familiarity with compliance requirements and security frameworks
• Background in team lead roles or managing contract/vendor support teams

We're hiring across a range of experience levels to build depth in both technical capabilities and enterprise support.

The Auth0 Sales Team

Auth0 supports Okta’s vision of freeing anyone to safely use any technology by providing a secure, highly available, enterprise-grade platform that secures billions of log-ins every year for Consumer and SaaS applications. As an Auth0 AE, you will drive territory growth through both net new logos and cultivating relationships to develop and grow existing Auth0 customers. With the support of your Okta ecosystem, your focus will be on consistent results and an unwavering commitment to our customers.

The Strategic Auth0 Account Executive Opportunity

The successful Auth0 Account Executive is a highly motivated, self-driven, and experienced Account Executive who is passionate about security and about driving protection against the biggest identity threats.

As an Auth0 AE, you will be focused on providing value to Application Development teams (Engineering, Product, Security and Architecture). You will continually drive territory growth through both net new logos as well as through cultivating relationships to develop and grow existing Auth0 customers. 

This role requires travel to our San Francisco, CA or Chicago, IL office for in-person onboarding during the first week of employment. If reasonable accommodation is needed to participate in the job application, interview process, or onboarding please use this Form to request an accommodation.

What you’ll be doing: 

• Build a plan to guide your long-term approach to net new logo pipeline generation 
• Consistently deliver revenue targets to support YoY territory growth 
• Identify, develop and execute account strategies to generate pipeline, drive sales opportunities and deliver repeatable and predictable bookings
• Identify, target and gain access to appropriate leaders in prospect accounts, building and cultivating your network of decision makers  
• Scope, negotiate and close agreements to meet and exceed revenue quota targets 
• Holistically embrace, access, and utilize partners to identify and open opportunities 
• Build and nurture effective working partnerships within your Okta ecosystem (xDRs, Partners, Presales, Customer First, etc) 
• Travel as necessary to build and cultivate customer and prospect relationships

What you’ll bring to the role:

• 12+ years success in growing revenue for sophisticated, complex enterprise SaaS products
• Ability to evangelize, educate and create demand within the CTO organization, with a strong track record of pitching and closing to Product, Engineering, and Architecture decision makers
• Deep technical discovery skills that resonate with the developer community 
• Strong technical acumen with proven ability to connect a technical sale to a companies’ business outcomes
• Excellent communication and presentation skills with audiences of all levels and all technical aptitudes
• Confident and self driven with the humility required to successfully work in teams
• Expertise using a Sales Framework such as MEDDPICC, Challenger or Sandler (we use MEDDPICC)

#LI-Remote
P24255_3316711

Global Presales team

The Global Presales organization at Okta brings together a diverse group of experts, including Solutions Engineers, the Office of the Field CTO, Alliances, Architects, and more, who combine deep technical expertise with strategic business insight. This team serves as trusted advisors to a wide range of customers and partners, helping them unlock the full potential of Okta’s Identity Platform. By asking insightful questions, understanding complex challenges, and delivering tailored solutions, we empower organizations to address their unique identity needs. Empathy, collaboration, and a relentless focus on customer success drive our work and set us apart.

Identity Senior Solution Specialist -Endpoint & Identity Security

As an Senior Solution Specialist, you will be part of the presales team that delivers sales presentations and product demonstrations to educate customers on the best ways to implement Okta identity and access management solutions. You will report to the Senior Manager in the OFCTO organization. 

What you’ll be doing 

1. Strategic Customer Engagement:
• Support strategic customer conversations aligning with technical and engineering leaders and stakeholders.
• Deliver on emerging trends, industry best practices, and identity-driven digital transformation.
• Assist in preparing executive-level messaging and participate in strategic discussions to align Okta’s solutions with customer business outcomes.
• Develop customer-centric points of view that translate Okta’s solutions to customer problems.
• Lead technical discovery sessions with security and infrastructure leaders to uncover challenges related to endpoint security, passwordless adoption, and identity threat vectors.
• Deliver compelling, customized demonstrations and architectural sessions focused on Okta Device Access (including Okta FastPass, Desktop MFA) and our Identity Threat Protection capabilities.
• Design and execute outcome-focused Proof of Concepts (POCs) that prove Okta’s value in preventing account takeovers and securing access from any device.
• Maintain a broad and deep technical understanding of the Okta identity product lines and the underlying technologies and protocols
• Craft engaging solution content to position Okta’s value across multiple business units, including software engineering, operations, product management, and business stakeholders
2. Technical Leadership:
• Provide strategic and technical guidance to Solutions Engineering teams across both the Okta and Auth0 identity platforms.
• Collaborate with the Global Office of Field CTO office team to deliver actionable insights from the field, validate customer needs, and identify recurring trends for the Okta Product & Engineering teams.
• Deliver impactful keynote presentations, webinars, and technical sessions at industry and customer events.
3. Field Enablement and Collaboration:
• Contribute to frameworks, tools, and content to support Solutions Engineering teams in executing effectively.
• Partner with sales leadership to identify and address critical business opportunities and challenges.
• Drive cross-functional collaboration to ensure seamless execution of global initiatives.
• Innovate in tools and techniques to drive excellence and momentum
• Partner with Enablement and Field CTO teams to drive regional events and align product messaging for regional GTM and SE teams.
4. Market Influence:
• Represent Okta as a thought leader in the identity and security space.
• Influence industry standards and participate in relevant technical advisory boards.
5. Innovation and Strategy:
• Partner closely with OFCTO teams as an advocate for customer-driven innovation, market trends, and GTM insights to provide input to influence product teams.
• Support, derive, and champion strategic initiatives that enhance Okta’s differentiation and business impact.

Position Requirements:

Identity & Directory Services Mastery

• Deep Infrastructure Knowledge: Expert-level understanding of Active Directory (AD) and Azure AD (Entra ID) or similar, including Group Policy Objects (GPOs), Kerberos, and OIDC/SAML protocols.
• Multi-IdP Ecosystems: Proficiency in managing and securing diverse Identity Providers (IdPs) like Okta, Ping Identity, and Google Workspace.
• Hybrid Identity: Experience managing the complexities of identity synchronization between on-premises environments and the cloud.

Device Identity & Access Management Mastery

• Passwordless Expertise: Deep, hands-on knowledge of FIDO2/WebAuthn, Passkeys, and implementing passwordless authentication strategies using solutions like Okta FastPass.
• Endpoint & Device Context: Strong understanding of Desktop MFA, device registration, and leveraging device posture signals from MDM/UEM (e.g., Jamf, Intune, Workspace ONE) and EDR (e.g., CrowdStrike) platforms to enforce risk-based access policies.
• PKI & Certificate Management: Familiarity with certificate-based authentication and its role in establishing device trust.
• Identity Threat Detection & Response (ITDR)
• Threat Landscape Knowledge: A thorough understanding of modern identity attack vectors, including phishing, token theft, MFA bypass techniques, and lateral movement.
• Behavioral Analysis: Experience with User and Entity Behavior Analytics (UEBA) and the ability to interpret threat signals to detect and respond to suspicious activity.
• Security Ecosystem Integration: Proficiency in designing solutions that integrate identity platforms with SIEM (e.g., Splunk, Sentinel) and SOAR tools for automated threat response.

• Strong communication and presentation skills, with experience contributing to technical events.
• Travel expectation: up to 40% for customer meetings, industry events, and internal off-sites.
• This is a remote position.

And extra credit if you have experience in any of the following! 

• Hands-on experience with Okta's Threat Protection suite (e.g., suspicious activity reporting, risk-based authentication).
• Experience with other ITDR vendors or device access solutions.

• Certified Identity Professional (CIDPRO), CISSP, CCSP, or CISM.
• Scripting or automation skills (e.g., Python, PowerShell) for security integrations.

#LI-Remote

SSP4CM

P212832

Position Description:

The Services PreSales Architect is a technical authority on both cloud and on-premises based IAM systems and is responsible for ensuring the successful design and implementation of Okta’s & Auth0’s industry leading cloud identity platform for our customers. Your main focus will be on driving the success of Okta's and Auth0's identity offerings. You will cultivate strong, trusted partnerships with customers, concentrating on their success and helping them achieve their business goals by promoting innovative and creative solutions. A key part of your role is to translate customer business needs and insights into a clear, actionable strategy that the delivery team can execute to help customers achieve tangible results and high business value from their initiatives. This is a key member of the Professional Services (PS) Pre-Sales team.

Job Duties and Responsibilities:

• Lead the pre-sales discovery of functional and technical requirements required to establish an Identity platform for our customers. 
• Lead Partners, Customers and Engagement Managers to document and mitigate technical risk identified during discovery.
• Create estimates to implement the proposed solution.
• Review services estimates to ensure project scope can be successfully delivered as outlined - technical risk is appropriately mitigated and timelines follow staffing guidelines.
• Lead and develop co-delivery proposals by identifying and engaging appropriate partners.
• Drive New Product Introduction (NPI) across PS by training Engagement Managers and developing associated assets such as scope modules, SKUs, success stories and enablement toolkits.

Minimum REQUIRED Knowledge, Skills, and Abilities:

• 10+ years of overall IT / software development experience, solution design and technical architecture experience
• 5+ years of Okta implementation experience
• 5+ years of consulting experience
• 5+ years driving application architecture design
• 5+ years of experience with (IAM) architectures
• Experience with employee and customer identity use cases: HR driven identity, Active Directory, SSO, SaaS application integrations.
• Experience with Identity Governance and Privileged Access Management use cases. 
• Demonstrated ability to work and interact with high-level customer executives and technical resources.
• Experience in leading discovery workshops to derive customer requirements and specifications.
• Experience in developing functional specifications and system design specifications for customer engagements.
• Strong knowledge of Security Architecture, Design and Operations, LDAP, Active Directory, SSO, SAML, OIDC, RBAC, OAuth, JSON, REST.
• Experience integrating with a multitude of On-Prem and SaaS based products.
• Exhibits confidence and a deep understanding of emerging industry practices when solving business problems.
• Identifies critical issues with ease.
• Effectively communicates technical information to non-technical audiences.
• Manages customer expectations effectively.
• Application design experience.
• Clear and Dynamic Communication.
• Ability to travel up to 50%

Highly Desirable Knowledge, Skills, and Abilities:

• Knowledge of software development security and cryptography.
• Familiarity with IAM solution providers.
• Experience with API Gateways, CASB, and Reverse Proxies (NGINX)
• Proficiency with various open-source software and development tools
• Proficiency in one or more of the following: .Net, Ruby, Java, Python or Perl

Education and Certification

• A Bachelor’s degree (or equivalent) in Computer Science, Information Technology or related discipline required.
• Okta Certified Technical Architect or a combination of Okta Certified Consultant and Okta Certified Developer is a plus.
• CISSP certification is a plus.
• TOGAF certification is a plus.

#LI-BF1

#LI-Hybrid

P10902_3357735

ABOUT THE TEAM

As a key member of Anduril's recruiting team, you will be responsible for taking hiring requirements, sourcing and screening candidates, tracking/managing them through the interview process, closing hires, and reporting on metrics. To achieve this, you will be given the autonomy and tools to execute on our strategy to build and develop Anduril's world class team. We are looking for someone who can handle high levels of ownership while tackling every aspect of recruiting and is excited to be part of a small team where no task is too big or too small. This role primarily focuses on software recruiting for our Air & Ground Deterrence team, with occasional involvement in hardware recruiting.

WHAT YOU’LL DO

• Consistently source and track a high volume of candidates, while maintaining open lines of communication with stakeholders
• Establish deep trust and partnership with business leaders to help influence talent strategy while executing on hiring deliverables
• Develop a strong understanding of the mission while learning how to effectively pitch the team and opportunity, ultimately closing exceptional technical talent for the organization
• Track and analyze pipeline and performance data to gain insights into areas of improvement
• Build recruiting strategies that contribute to the long-range growth of the company, implementing best practices around referrals and process improvements where needed
• Act as a subject matter expert in prospecting techniques and tools used for information retrieval, data extraction, web-scraping, continuous process improvement, process automation, and candidate management
• Conduct interviews with potential candidates, demonstrating ability to anticipate hiring manager preferences through high interview-to-offer ratios
• Engage passive candidates using LinkedIn Recruiter, Boolean strings, referrals, and SOBO campaigns
• Drive diverse talent into the organization, consistently ensuring a positive candidate experience throughout the entire recruiting process with proactive communication and engagement

CORE REQUIREMENTS

• 5+ years experience sourcing for technical roles & engaging top tier software talent
• Multiple years of experience managing stakeholder relationships, including working directly with Hiring Managers, driving strategic recruiting efforts based on business needs, profile calibration, and updating pipeline progress via reporting
• Strong understanding of the technical skills and experience required for software engineering positions within the business
• Clear and effective communication with candidates to understand motivation, drivers, and fit within the organization
• Experience managing various funnels of candidates and keeping track of their progress throughout the recruitment process
• Working knowledge of recruiting tools like Greenhouse and Gem
• Familiarity with a wide variety of sourcing avenues
• Experience acting in a consultative manner where your guidance has led to improved outcomes, and a positive candidate experience, while earning the respect of your peers and clients
• Ability to work autonomously with little supervision, while staying highly collaborative
• No task is beneath you. You’re a team player and hungry, go-getter that does “whatever it takes” to deliver for your teammates and stakeholders

PREFERRED REQUIREMENTS

• Experience working at both a recruiting agency and fast-paced startup environment
• Experience recruiting for Software Engineer, Robotics Software Engineer, Systems Engineer, Program Manager and Technical Program Manager requisitions
• Experience recruiting for positions in the autonomous vehicle, robotics, or DoD field

ABOUT THE TEAM

As a key member of Anduril's recruiting team, you will be responsible for taking hiring requirements, sourcing and screening candidates, tracking/managing them through the interview process, closing hires, and reporting on metrics. To achieve this, you will be given the autonomy and tools to execute on our strategy to build and develop Anduril's world class team. We are looking for someone who can handle high levels of ownership while tackling every aspect of recruiting and is excited to be part of a small team where no task is too big or too small. This role primarily focuses on software recruiting for our Air & Ground Deterrence team, with occasional involvement in hardware recruiting.

WHAT YOU’LL DO

• Consistently source and track a high volume of candidates, while maintaining open lines of communication with stakeholders
• Establish deep trust and partnership with business leaders to help influence talent strategy while executing on hiring deliverables
• Develop a strong understanding of the mission while learning how to effectively pitch the team and opportunity, ultimately closing exceptional technical talent for the organization
• Track and analyze pipeline and performance data to gain insights into areas of improvement
• Build recruiting strategies that contribute to the long-range growth of the company, implementing best practices around referrals and process improvements where needed
• Act as a subject matter expert in prospecting techniques and tools used for information retrieval, data extraction, web-scraping, continuous process improvement, process automation, and candidate management
• Conduct interviews with potential candidates, demonstrating ability to anticipate hiring manager preferences through high interview-to-offer ratios
• Engage passive candidates using LinkedIn Recruiter, Boolean strings, referrals, and SOBO campaigns
• Drive diverse talent into the organization, consistently ensuring a positive candidate experience throughout the entire recruiting process with proactive communication and engagement

CORE REQUIREMENTS

• 5+ years experience sourcing for technical roles & engaging top tier software talent
• Multiple years of experience managing stakeholder relationships, including working directly with Hiring Managers, driving strategic recruiting efforts based on business needs, profile calibration, and updating pipeline progress via reporting
• Strong understanding of the technical skills and experience required for software engineering positions within the business
• Clear and effective communication with candidates to understand motivation, drivers, and fit within the organization
• Experience managing various funnels of candidates and keeping track of their progress throughout the recruitment process
• Working knowledge of recruiting tools like Greenhouse and Gem
• Familiarity with a wide variety of sourcing avenues
• Experience acting in a consultative manner where your guidance has led to improved outcomes, and a positive candidate experience, while earning the respect of your peers and clients
• Ability to work autonomously with little supervision, while staying highly collaborative
• No task is beneath you. You’re a team player and hungry, go-getter that does “whatever it takes” to deliver for your teammates and stakeholders

PREFERRED REQUIREMENTS

• Experience working at both a recruiting agency and fast-paced startup environment
• Experience recruiting for Software Engineer, Robotics Software Engineer, Systems Engineer, Program Manager and Technical Program Manager requisitions
• Experience recruiting for positions in the autonomous vehicle, robotics, or DoD field

Team Overview

The Platform Security Engineering (PSE) team builds security into Anduril's products from architecture through production. We work directly with business lines to design and implement security solutions tailored to their systems — then promote proven patterns into shared, composable platform services that the entire organization can use. Our mission is threefold: build security solutions for business lines, promote those solutions into the platform, and enable teams to build and operate securely on their own. The work spans cryptographic protocols, operating system hardening, secure boot, hardware security integration, authentication systems, and distributed protocol security across embedded, edge, and cloud environments.

Job Description

We're looking for senior and staff-level software engineers to design and build security solutions across Anduril's product ecosystem. You'll partner directly with business line engineering teams to understand their systems, threat models, and security requirements — then design and implement solutions that range from custom, business-line-specific implementations to shared platform services. The problems you'll work on span the full stack — secure hardware, operating systems, container orchestration, distributed services, and cloud infrastructure — and you'll move between them as the mission demands. We value engineers who are strong generalists: comfortable learning new domains quickly and working across security boundaries rather than specializing in just one.

We're also open to hiring talented software engineers with less security-specific experience, provided they have a strong track record building production software at scale, learn fast, and are motivated to go deep on security.

Key Responsibilities

• Design and implement security features and services for business line products — including custom solutions when platform capabilities don't yet exist
• Identify patterns across business line implementations and promote them into shared, composable platform security services
• Build tooling, libraries, and reference implementations that enable engineering teams to adopt secure patterns independently
• Lead security architecture reviews and threat modeling for business line and platform systems
• Implement cryptographic protocols, key management systems, and certificate infrastructure
• Work across the technology stack: secure hardware (TPM, TEE), operating systems, container orchestration, and application-layer security
• Provide hands-on engineering support to business line teams adopting platform security services
• Collaborate with the Security Applications & Tools team on cross-cutting security infrastructure

Required Qualifications

• 6+ years of experience designing and developing production software in large-scale environments (8+ for Staff level)
• Proficient in at least one of: C++, Rust, or Go
• Strong software engineering fundamentals: you can design, build, and operate complex systems and pick up new domains quickly
• Experience working on security for distributed systems, or demonstrated ability and motivation to develop deep security expertise
• Ability to work directly with product and engineering teams to translate requirements into working implementations
• Comfortable working across multiple problem domains rather than specializing in a single area
• Strong communication skills with proven ability to negotiate and reach consensus across teams
• Eligible to obtain and maintain active U.S. Secret security clearance

Preferred Qualifications

Experience or willingness to learn in a subset of the following:

• Designing and implementing secure protocols, APIs, or cryptographic systems
• Integrating secure hardware (TPM, TEE, HSM)
• Operating system security and hardening (Linux)
• Securing Kubernetes deployments and container runtimes
• Embedded systems or robotics security
• Secure cloud architectures (AWS or Azure)
• Performing security architecture reviews and threat modeling

Additionally valuable:

• Proficient in: TypeScript, React, Python
• Experience building shared libraries, SDKs, or platform services consumed by other engineering teams
• Knowledge of cryptographic primitives and best practices (key management, certificate lifecycles, secure key storage)
• Familiarity with compliance frameworks (STIGs, NIST) and translating requirements into engineering controls
• Experience with Nix build systems

We are seeking a Generative AI Chief Engineer Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

What You’ll Do

• Develop Advanced Agentic Software - Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning - Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration - Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation - Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation - Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Travel up to 40+% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.
• General software engineering experience solving motion planning or related robotics problems.

We are seeking a AI Chief Engineering Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

What You’ll Do

• Develop Advanced Agentic Software - Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning - Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration - Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation - Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation - Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Travel up to 40+% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.

About Design at Gusto:

Design at Gusto is made up of over 80 creative, collaborative people who care deeply about our mission to empower small businesses and their employees. We're a cross-functional group that is always looking for opportunities to build understanding and empathy for the people who use Gusto. We don't care much about swim lanes and though we care deeply about quality and craft, we are never precious about it. We work closely with cross-functional partners in Product, Engineering, Data, and Marketing to design, build, and ship experiences that make a real difference. We believe great design can make hard things possible, even delightful.

We are building an AI-native design organization — and we mean that seriously. We're looking for designers who are already working this way: using AI to prototype ideas quickly, shorten customer feedback loops, and ship quality UX directly to customers. This isn't a future aspiration — it's how we work now, and it's changing what the design role looks like at Gusto and across the industry.

About the Team:

The Retirement team at Gusto builds financial products and services that help bridge the retirement gap for small business owners and their employees. With 401(k) plans designed to be affordable, easy to manage, and easy to understand, Gusto is working to make retirement accessible to small businesses and teams that have historically been underserved by the 401(k) market.

We’re a collaborative group that values creativity, transparency, and a deep respect for our craft. We hold ourselves to a high bar and actively support one another so that we can do our best work. Our process incorporates using AI in our daily workflows to move faster, explore ideas, and increase our impact. From building tools that help individuals navigate their financial future to new retirement offerings, the Retirement team plays a central role in contributing to Gusto’s mission. 

About the Role:

We’re hiring a Staff Product Designer to partner with Product, Engineering, Data (and Research) to shape strategy, align partner teams, and create a cohesive, high-trust retirement experience across the employer and employee journey. You’ll operate as the design lead for your projects—co-owning priorities, success metrics and driving alignment across Retirement and key partner teams (Payroll, Benefits, Support/Ops). Your scope will include:

• Improving both setup and account management to boost confidence, adoption, and retention to reduce contact rate and confusion.
• Creating a more connected journey between payroll and retirement by designing across the seams of product, operations, and support—where the hardest and most interesting problems live.
• Designing flexible, scalable patterns across Retirement, integrating seamlessly with adjacent payroll and benefits touchpoints. Apply discerning design judgment to determine when and how to effectively incorporate AI to enhance the experience.

If you’re energized by ambiguous problem spaces, high-trust financial experiences, and designing workflows that make complex decisions feel clear and confident—this role is for you.

Here’s what you’ll do day-to-day:

• Strategic Vision & Partnership: Partner with Product Management to define the customer problems to solve, the strategy to solve them, and the measurable outcomes that matter—across activation, engagement, and retention.
• Data and research informed iteration: Collaborate with Data and Research to understand funnel drop-offs, behavior over time, retention drivers as well as define success metrics and iterate based on what you learn.
• Design Leadership & Ownership: Drive the full design process for shipped experiences—scoping and sequencing work, prototyping, testing, and delivering MVP → iteration → longer-term improvements.
• Trust + compliance design: Translate regulatory/tax-driven requirements into clear flows, content, and UI patterns that build trust without overwhelming customers.
• Communication & Storytelling: Craft compelling product narratives that align cross-functional stakeholders around the problem, strategic options, and tradeoffs, clearly explaining the reasoning behind design decisions and outcomes.
• Elevating Craft & Mentorship: Provide thoughtful critique and mentorship to design peers; raise the quality bar across the organization. Be an innovation driver with using and designing for AI.
• System Advocacy & Evolution: Champion the design system and contribute patterns/components that improve cohesion and quality.
• AI-Accelerated Prototyping & Learning: Use AI to move quickly from concept to customer-tested artifact — building clickable, high-fidelity prototypes that generate real signal faster than traditional methods allow. Bring a clear point of view on where AI enhances the customer experience, not just your workflow, and help raise the team's fluency through your example.

Here’s what we're looking for:

We’ve found that a low ego, a growth mindset, and a bias for action go a long way here. 

• 8+ years in product design, with a portfolio showing end-to-end shipped work and the impact it drove
• High bar for craft across interaction design, information architecture, and visual design—especially for complex, form-heavy workflows
• Bonus: Experience in regulated/high-trust domains (fintech, taxes, insurance, healthcare, benefits/retirement)
• Demonstrable AI fluency in your design practice — not just familiarity with tools, but evidence of AI changing how you prototype, test, and ship. We'll ask you to show this, not just describe it.
• Comfort moving between design and code — whether that means shipping UI improvements directly, working closely in the codebase with engineers, or using AI-assisted tools to close the gap between prototype and production.
• Comfortable operating in ambiguity and shaping messy inputs into clear goals, tradeoffs, and shipped outcomes
• Bonus: Comfortable tackling content design aspects (making complex concepts understandable)
• Building strong partnerships with Product, Engineering, and Data to prioritize, execute, and iterate
• Systems thinker who designs solutions that scale beyond one-off screens and hold up across a product ecosystem
• Bonus: Have contributed to growing a Design system with components or patterns
• Bring a clear point of view, engage in constructive feedback, and help teams align quickly by clarifying tradeoffs and driving decisions forward
• Track record leading multi-workstream initiatives across teams—setting direction, unblocking partners, and shipping measurable improvements

At Gusto, we strive to provide rewards that empower employees to achieve their financial and personal goals. We offer competitive compensation packages with a strong emphasis on equity based compensation (ownership in Gusto). To learn more about Gusto’s compensation philosophy and benefits offerings please view our Total Rewards Approach page. 

Our cash compensation range for this role is $146,000/yr to $183,000/yr in Denver & most remote locations, and $177,000/yr to $222,000/yr in San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.

ABOUT THIS OPPORTUNITY

Hunt is onX’s most complex vertical, serving a diverse set of customers across public and private land use cases. As the product evolves, we’re focused on improving the end-to-end Hunt experience—driving deeper engagement, retention, and long-term value.

We’re hiring a Senior Product Manager to help shape and drive this next phase. Reporting to the Group Product Director of Hunt, you’ll define meaningful problems, lead discovery, and drive solutions from concept through launch.

This is a hands-on, builder-oriented role. You’ll move between insight and execution—getting close to customers, turning ambiguity into clear priorities, and driving work forward to shipped outcomes. You’ll partner closely with product leadership to shape direction while owning execution within your domain.

You’ll operate in a matrixed product organization, working across Hunt and shared platform teams (e.g., Navigation, Offline Maps) to ensure solutions meet Hunt customer needs while scaling across verticals.

WHAT YOU'LL DO
^{Essential Job Duties & Functions}

• Shape and execute product strategy through hands-on discovery, customer insight, and problem framing
• Own a product area end-to-end—from problem definition through delivery and iteration
• Drive measurable outcomes (engagement, retention, adoption) and use data to inform prioritization
• Translate ambiguous opportunities into clear plans, aligned teams, and shipped product
• Partner cross-functionally across engineering, design, marketing, and platform teams
• Influence shared platform capabilities to scale across verticals while advocating for Hunt-specific needs
• Use AI and data to accelerate discovery, decision-making, and product development
• Drive experimentation, including defining success metrics, running tests, and learning from results
• Communicate clearly with stakeholders and leadership on priorities, progress, and impact

Note: This is a condensed overview for job posting purposes. A more detailed description of the role and responsibilities will be shared with candidates who move forward in the interview process.

WHAT YOU’LL BRING

• 7+ years of progressive product management experience delivering consumer-facing mobile software, with a demonstrated track record of owning and delivering end-to-end product outcomes that measurably improved engagement, retention, or conversion. 
• Bachelor's degree in a related field or equivalent experience
• Deep fluency in mobile-first product ecosystems, with hands-on experience managing the full lifecycle of iOS and/or Android consumer applications.
• Proven ability to drive outcomes through influence in complex, cross-functional environments, including matrix organizations, aligning engineering, design, marketing, and leadership around a shared product direction without direct authority.
• Experience defining and operationalizing product success metrics, including user segmentation, cohort analysis, funnel optimization, and growth levers, with a track record of using those metrics to inform prioritization and drive execution. 
• Demonstrated experience using AI tools to accelerate product discovery, improve decision quality, and enhance product development workflows, with evidence of applying AI beyond basic or surface-level use.
• Experience taking products or features from inception through maturity, including navigating the ambiguity of early-stage definition and the driving execution to scale what works..
• Proven ability to translate complex, multi-stakeholder problems into clear product decisions, and drive those decisions through execution, with the communication skills to bring executives, technical partners, and cross-functional teams along.
• Strong command of agile development practices, with experience working in continuous delivery environments and iterating rapidly based on data and customer feedback.
• Experience operating in ambiguous problem spaces, creating clarity, and driving momentum without fully defined requirements or direction.
• Genuine curiosity about and connection to the onX Hunt customer, whether through lived experience as an outdoor enthusiast or a demonstrated ability to deeply immerse in and advocate for a specific customer community.
• A shared passion for and ability to demonstrate onX’s Company Values.
• Permanent US work authorization is a condition of employment with onX.
• Ability to travel monthly or quarterly, depending on location, for multi-day visits to a corporate office or other onX locations (e.g., Basecamps).

ADDED BONUSES

Though not required, we would be thrilled to consider candidates with any of the following:

• Experience working on products that serve multiple distinct customer segments within a single product ecosystem, where shared experiences had to work well for different types of users without feeling generic to any of them
• Experience owning information architecture, navigation design, or onboarding flows in a consumer mobile app, particularly where the challenge was helping users discover and adopt a deep feature set
• Experience driving measurable improvements in feature adoption, activation, or engagement depth, and a clear point of view on what actually moves those metrics versus what just looks good on a roadmap
• Experience partnering with multiple product lines and platform teams to ship scalable and cohesive end-to-end experiences, especially in environments where influence mattered more than direct ownership
• Experience in 0→1 or 1→n product evolution, especially where the problem space was not fully defined upfront
• Experience working in high-growth or rapidly evolving product environments

THE ONX EXPERIENCE

onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration.

While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift, data shapes how we evolve as our business, products, and the world around us change.

Clear priorities and structure don’t limit ownership—they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. You’ll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way, you’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges.

WHERE YOU CAN WORK

onX has created a thriving distributed workforce designed to foster connection, collaboration, and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula, MT and established virtual workforce Basecamps in Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA.

HOW YOU’LL BE COMPENSATED

onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $143,000 to $179,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

WHAT WE’RE OFFERING YOU

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits, including a no-monthly-cost medical plan
• Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
• 401k matching at 100% for the first 3% you save and 50% from 3-5%
• Company-wide outdoor adventures and amazing outdoor industry perks
• Annual “Get Out, Get Active” funds to fuel your active lifestyle
• Flexible time away package that includes PTO, STO, VTO, and paid holidays

PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com. 

Position open until filled. 

#LI-Remote

Hudson River Trading (HRT) is hiring an AI Researcher to join the HAIL team. HAIL (HRT AI Labs) is the team at HRT responsible for developing and maintaining our most powerful models, which are used by our trading teams to drive a significant fraction of our trading. We are building and deploying "foundation models for markets", that ingest and train on vast amounts of market data, to make predictions about future market state. We are seeking experienced AI researchers to join our team to accelerate our efforts.

Researchers have great independence to pursue the research directions they think would be most impactful as part of a small focused team with minimal bureaucracy. They are enabled by state-of-the-art research clusters with very high GPU-to-researcher ratios, and supported by excellent engineering, hardware, and systems teams to realize their vision. Your work will be directly, clearly, highly impactful on the business, and it will be challenging: this is a field with no easy or obvious solutions. You'll be responsible for improving every part of our models: from featurization of data, to architecture design, to training dynamics, to how trading decisions are made.

Qualifications

• Must have two or more years work experience in deep learning research, for any domain: robotics, biology, chemistry, physics, audio, video, etc.
• Experience translating methods between areas of application is highly valued.
• LLM experience is valuable, but not necessary.
• Strong engineering skills valued, especially any of: GPU kernel development, lower-level Pytorch/JAX development, intermediate C++, FPGA/ASIC experience, HPC experience.

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation. We build and deploy cutting-edge systems within one of the world’s most advanced computing environments to power our global trading operations. Our non-siloed, collaborative coding environment empowers talented engineers to make significant contributions and see their impact daily. At HRT, you'll be challenged to solve the most complex problems in trading alongside many of the brightest minds in the field.

We are seeking highly motivated and skilled Research Engineers who will work very closely with our Algo Developer (Quant Research) trading teams. These roles require exceptional programming fundamentals, a strong user focus, and the ability to thrive in a fast-paced environment with constantly evolving requirements. Multitasking and context switching are inherent aspects of this role, through which you will gain insight into the ideation and execution of some of the world's most sophisticated trading strategies.  

Research Engineers at HRT work on a wide variety of projects. Examples include:

• Designing highly customized quantitative systems that enable Algo Developers to easily express and backtest new predictive signals.
• Building world-class research tooling to speed up Algo Developers’ research iteration.
• Aiding the development and deployment of very large deep learning models for HRT’s live trading.
• Improving HRT’s monetization systems which turn our predictions into profitable trades.
• Evaluating sim vs. live differences to improve the fidelity of our simulations.
• Building systems to monitor and manage live trading.
• Specializing in specific time horizons, from high frequency trading to mid-to-low frequency hedge fund-style strategies.
• Working across a very wide variety of asset classes (from equities to fixed income to options) and regions (from North America to Asia Pacific) – you’ll interact with markets across the world!

Responsibilities

• Design, develop, and maintain robust, performant, and scalable software systems.
• Optimize existing codebases for performance, reliability, and efficiency.
• Debug complex issues across distributed systems in a time-sensitive environment.
• Optimize both the mechanics and ergonomics of Algo Developer research workflows; this requires developing a deep intuition for research methodologies.
• Balance the short term goals of individual trading teams with the longer term goals of HRT’s generalized trading platforms across trading teams. Because we don’t work in a pod environment, REs on different trading teams are expected to share technology and ideas.

Qualifications

• Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
• Previous experience at a top-tier finance or technology company with an excellent track record of rapid advancement and superlative reviews.
• Experience with supporting internal users is preferred; bonus if you have real hands-on experience with quant research and/or ML/Deep Learning platforms.
• Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.)
• Candidates should be prepared for technical interviews in either Python or C++. While there is no hard language requirement for RE roles, proficiency in one of these languages will be assessed during the interview process.
• Kindness and empathy is a real requirement. No “smart jerks” at HRT. 
• Strong understanding of data structures, algorithms, and design principles.
• Excellent communication skills, both written and verbal.
• HRT ships every day. The ability to thoughtfully, methodically, and reliably deploy new software and features is a critical skill. 
• If you have management experience, that’s always a bonus – but even so, expect to code!

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

For more info about interviewing at HRT, see this blog!

About the role

As a Compute Accounting Manager at Anthropic, you will own the end-to-end accounting for our compute expenses, ensuring accurate financial reporting and robust controls as we scale. You'll be responsible for the complete lifecycle of compute accounting—from contract review and compliance through accruals, prepaids, accounts payable reconciliation, expense classification, and commitment tracking. This role requires deep expertise in accounting for compute usage, strong data and analytical capabilities, and the ability to build scalable processes in a high-growth environment. You'll partner directly with the relevant Engineering, Legal, and Procurement teams to ensure our CSP contracts are properly reflected in our financial records and that we're capturing costs accurately and in compliance with our agreements. As Anthropic continues to grow rapidly, you'll play a critical role in establishing the financial controls and processes that enable us to manage significant compute spend with precision and confidence.

Responsibilities:

• • Own the complete accounting lifecycle for compute expenses, ensuring accurate and timely recording of all costs
  • Review and interpret CSP contracts to ensure proper accounting treatment and compliance with contractual terms
  • Design and implement accrual and prepayment processes that accurately reflect the timing and nature of our compute costs
  • Track and reconcile commitment-based agreements, ensuring proper recognition and disclosure of our obligations
  • Lead accounts payable reconciliation efforts, working with vendors to resolve discrepancies and ensure statement accuracy
  • Partner with Procurement and Legal teams on contract reviews, providing accounting perspective on financial terms and implications
  • Build scalable processes and controls that can grow with the organization while maintaining accuracy and efficiency
  • Develop automated reporting and monitoring systems to provide visibility into CSP spending patterns and trends
  • Collaborate with FP&A to support forecasting and budgeting efforts related to compute costs
  • Serve as the subject matter expert on CSP accounting matters, providing guidance to cross-functional teams

You may be a good fit if you:

• • Have 10+ years of progressive accounting experience, with significant exposure to accounting for compute and review of associated contracts
  • Are a CPA (or equivalent) with a deep understanding of GAAP and strong technical accounting skills
  • Have experience working with compute cost structures and understand the unique challenges of accounting for consumption-based services
  • Possess strong analytical and problem-solving skills, with the ability to dive deep into data to identify issues and opportunities
  • Have proven experience building accounting processes and controls in high-growth environments
  • Are proficient with modern ERP systems (NetSuite, Workday, Oracle, or similar)
  • Can translate complex contractual terms into proper accounting treatment
  • Excel at cross-functional partnership and can effectively communicate accounting concepts to non-finance stakeholders
  • Thrive in fast-paced environments where priorities can shift quickly
  • Have a bias toward automation and process improvement

Strong candidates may also:

• • SQL and BigQuery proficiency, enabling direct data analysis and validation
  • Python skills for building automation and analytical tools
  • Experience in consumption-based or usage-based business models
  • Background combining Big 4 accounting experience with industry roles at technology companies
  • Track record of implementing automated reconciliation and reporting solutions
  • Experience supporting rapid growth and scaling initiatives
  • Familiarity with commitment-based purchasing agreements and their accounting implications

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

About the role

Anthropic runs some of the largest Kubernetes clusters in the industry. We have fleets of hundreds of thousands of nodes across multiple cloud providers and datacenters to train, research, and serve frontier AI models. The Kubernetes Platform team owns the Kubernetes control plane that makes those clusters work.

We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure.

We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow.

Key responsibilities

• Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption
• Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us
• Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on
• Build and maintain custom controllers, operators, and CRDs
• Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities
• Collaborate with cloud providers on required features and escalations
• Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures

Minimum qualifications

• Significant software engineering experience building and operating production distributed systems
• Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++)
• Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters
• Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes
• A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on
• Strong written and verbal communication; comfort building consensus with internal stakeholders

Preferred qualifications

• Experience with Kubernetes internals or contributions: kube-scheduler / scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar
• Experience building or operating cluster schedulers or batch systems (e.g., Kueue, Volcano, Slurm, or in-house equivalents)
• Background scaling control planes or coordination systems (etcd, ZooKeeper, Consul, or large DNS/service-mesh deployments)
• Familiarity with ML infrastructure: GPUs, TPUs, or Trainium; gang scheduling; topology-aware placement; collective networking such as NCCL
• Experience with GCP and/or AWS, including GKE/EKS internals and Infrastructure as Code
• Low-level systems experience such as Linux kernel tuning, cgroups, or eBPF
• 8+ years of relevant industry experience, including time leading large, ambiguous infrastructure projects

The Opportunity: 

If you’ve ever tried to find an in-network therapist — or supported someone who has — you know how broken and frustrating insurance and billing can be. At Grow, we believe insurance should be the easiest part of a patient’s mental health journey..

As a Senior Product Manager on our Billing Automation team, you’ll own one of the most complex and mission-critical areas of our platform: how therapy claims are submitted, processed, and reconciled with insurance. This is a chance to tackle a deeply messy, real-world problem and build systems that meaningfully improve the experience for providers, patients, and the business.

You’ll work closely with a strong engineering team and cross-functional partners to modernize the revenue cycle and help shape the future of mental health care infrastructure.

What You'll Be Doing:

• Own the roadmap and strategy for our Claims Engine, building an intelligent, scalable platform that handles claims submission, reconciliation, APIs, automations, and core data models.
  
  
• Design and evolve Grow’s revenue cycle system, from claim creation through adjudication and payment reconciliation.
  
  
• Identify opportunities to use automation and AI-assisted workflows to improve accuracy, reduce manual work, and scale collections intelligently.
  
  
• Dive deep into the claims lifecycle to uncover gaps, data inconsistencies, and inefficiencies — and turn those insights into meaningful product improvements.
  
  
• Partner closely with engineering, revenue cycle, finance, and other product teams to ensure we’re meeting both user and business goals.
  
  

You'll Be A Good Fit If:

• Product experience: 5+ years in a product management role where you owned the full strategy of your end-to-end surface area. Experience with financial systems, billing or revenue cycle is helpful but not required.
  
  
• AI/ML experience: Experience shipping AI/ML-powered products, including working with highly complex datasets to improve system performance, accuracy, or efficiency. Comfortable translating real-world problems into model-driven solutions, evaluating tradeoffs, and iterating based on outcomes.
  
  
• Systems thinking: Comfort working on data-heavy, workflow-driven products and understanding how changes ripple through systems.
  
  
• Technical fluency: Able to partner deeply with engineers, reason about APIs and data models, and use SQL or similar tools to inform decisions.
  
  
• Strong prioritization instincts: You know how to balance short-term wins with long-term platform investments and focus on what drives the most impact.
  
  
• User empathy: You enjoy talking to users, especially internal teams, and translating real pain points into thoughtful product solutions.
  
  
• Adaptability: You’re comfortable navigating ambiguity, learning quickly, and adjusting as new information emerges.
  
  

Role Details:

• Employment Type: Full-Time, Exempt
• Base Compensation: The base compensation range for this position is
     Hybrid Commitment: $182,000–$227,000 USD Annually 
     Fully Remote Commitment: $152,000–$189,000 USD Annually

This role can be hybrid (onsite from our NYC, San Francisco, or Seattle hub location three days per week: Tuesday, Wednesday, Thursday) or fully remote. Both arrangements include travel 2–3 times per year (e.g., company and department offsites).

The base compensation for this role will vary depending on several factors, including relevant experience, qualifications, and the candidate’s working location.