LLM Jobs.
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Staff Forward Deployed Engineer
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are looking for a Staff Forward Deployed Engineer who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.
As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.
You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" in production at scale and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.
What You’ll do:
- Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
- Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, reusable systems, benchmarking frameworks, model optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) that standardize how AI workloads are deployed and tuned across DigitalOcean.
- Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
- Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
- New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
- Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
- Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.
Key Metrics
- Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
- Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
- Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
- Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.
What You’ll Add to DigitalOcean:
- AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
- Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
- High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
- Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
- Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
- Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.
Preferred
- Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
- A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
- Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
- Active contributor to open-source AI projects or technical communities.
Compensation Range:
- $195,000 - $239,000
*This is a hybrid role
JR: 2026-7748
#LI-Hybrid
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Staff Forward Deployed Engineer
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are looking for a Staff Forward Deployed Engineer who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.
As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.
You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" in production at scale and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.
What you’ll do:
- Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
- Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, reusable systems, benchmarking frameworks, model optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) that standardize how AI workloads are deployed and tuned across DigitalOcean.
- Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
- Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
- New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
- Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
- Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.
Key Metrics
- Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
- Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
- Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
- Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.
What You’ll Add to DigitalOcean:
- AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
- Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
- High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
- Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
- Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
- Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.
Preferred
- Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
- A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
- Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
- Active contributor to open-source AI projects or technical communities.
Compensation Range:
- $195,000 - $239,000
*This is a remote role
JR: 2026-7748
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
AI/Machine Learning - Co-Op
Company Overview:
Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for Duchenne muscular dystrophy (DMD) and myotonic dystrophy type 1 (DM1) as well as a preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities. Learn more at https://www.dyne-tx.com/, and follow us on X, LinkedIn and Facebook.
Role Summary:
The Data Sciences team at Dyne Therapeutics is seeking an exceptional Co-Op candidate to contribute to development of machine learning (ML) and AI-driven tools for our R&D programs. The primary focus will be on refining molecular sequence-based ML models for property/activity prediction. This includes working with sequence, structural, and contextual features to enhance model performance and generalizability.
In addition, the Co-Op will contribute to development of LLM-based pipelines for scientific document drafting and evaluation, including retrieval-augmented generation (RAG) workflows to support internal research and regulatory processes.
This role provides hands-on experience at the intersection of computational biology and applied AI, directly supporting team priorities in molecular optimization, pipeline expansion, and AI capability development.
This role is based in Waltham, MA without the possibility of being remote. This is a 6-month position beginning in July.
Candidates must be enrolled in an accredited college or university.
Primary Responsibilities Include:
- Support data curation, preprocessing, and feature generation for biomolecular sequence ML models.
- Assist with model training, evaluation, and benchmarking under guidance.
- Contribute to development and testing of LLM-based document drafting and verification pipelines.
- Deliver well-documented and reproducible code, analysis summaries, and a final presentation of contributions.
Education and Skills Requirements:
- Undergraduate or Graduate student currently pursuing a degree in bioinformatics, Computational biology, or computer science or equivalent experience. Must be in active student status during duration of Co-Op program.
- Demonstrated competency in python and/or R programming skills.
- Prior experience in data science, AI, or machine learning is preferred.
- Strong organizational skills and solid written and oral communication ability.
#LI-Onsite
The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills.
The statements contained herein reflect general details as necessary to describe the principles functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload.
Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.
Ready to apply?
Apply to Dyne Therapeutics
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future.
Bready* to make a change?
Toast is looking for a Staff Machine Learning Engineer to serve as a technical linchpin for our AI Platform team. At the P4 level, you aren't just deploying models; you are designing the fundamental infrastructure that enables dozens of teams to build, deploy, and monitor AI at scale. You will act as a force multiplier, mentoring senior engineers and setting the architectural standards for our MLOps lifecycle—from feature stores and automated retraining to high-performance inference at the edge.
About this Roll*:
- Architectural Leadership: Design and lead the evolution of a unified MLOps platform that supports diverse needs across Toast, ensuring high availability, scalability, and security of ML services.
- Engineering Excellence: Champion and institutionalize best practices for CI/CD for ML (MLOps), automated testing, and infrastructure-as-code (Terraform).
- Cross-Functional Synergy: Lead collaborative efforts across Data Engineering, DevOps, and Product teams to bridge the gap between model prototyping and production-grade reliability.
- Strategic Roadmapping: Partner with leadership and Product Managers to define the 1-2 year technical vision for AI infrastructure, prioritizing long-term stability over short-term fixes.
- Operational Ownership: Set the standard for observability and incident response for ML systems, driving root-cause analysis for complex system failures.
- Mentorship: Actively mentor P2 and P3 engineers, fostering a culture of technical rigor and continuous learning.
Do you have the right ingredients*?
- Education: Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
- Experience: A minimum of 10-12+ years of professional software engineering experience, with at least 6-7 years specifically focused on productionizing and scaling ML systems at the enterprise level.
- Core Tech Stack: Expert-level proficiency in Python, Scala, or Java/Kotlin. Extensive experience with PySpark and high-performance computing.
- Generative AI & LLMOps: Proven track record of taking LLM applications from research to production, including experience with Vector Databases, LangChain/LangGraph, and A2A protocols.
- System Design: Superior ability to design distributed systems that handle millions of requests with sub-second latency.
- Experience with microservice based architecture, preferably with AWS tooling (SageMaker, DynamoDB, Athena, Glue, etc.)
- Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration, MLflow
- Profound knowledge of model deployment, orchestration (Apache airflow, Prefect), scaling, and managing CPU/GPU resources efficiently.
- Exceptional problem-solving, analytical skills and the ability to tackle complex problems with a critical thinking approach.
- Outstanding communication and interpersonal skills, coupled with a demonstrated ability to work collaboratively within a team environment.
- Foundational knowledge in statistical concepts (e.g. classification, regression, etc) and deep learning algorithms (e.g. CNN, RNN) is desirable
Bonus Ingredients (The "Staff" Edge)
- Data Strategy: Experience implementing enterprise-grade Feature Stores (e.g., Tecton, Feast) and real-time streaming frameworks like Apache Flink or Ray.
- Full-Stack Visibility: Ability to dive into the UI/UX layer (React) or deep into the kernel/networking layer to debug performance bottlenecks.
Open Source/Community: Contributions to relevant open-source projects (MLflow, Kubeflow, etc.) or a history of speaking at industry conferences.
AI at Toast
At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Ready to apply?
Apply to Toast
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.
As a Senior Software Engineer on this team, you'll be hands-on building the systems that other Toast engineers depend on every day: the LLM proxy, agentic workflows, and the plugin marketplace that brings AI-native development practices to teams across the company.
This is a hybrid role with 2 days per week in the Bengaluru office.
A day in the life (Responsibilities)
- Design, build, and ship features across AI platform infrastructure, including the LLM proxy, AI key management, and observability pipelines
- Develop and extend autonomous agents that participate in the SDLC, such as the AI Review GitHub App and Developer Platform MCP integrations
- Build on and contribute to the internal plugin marketplace, developing plugins that encode Toast's architectural standards and quality practices into AI assistant behavior
- Implement MCP (Model Context Protocol) services and service templates that make it faster and easier for teams across Toast to build AI-powered workflows
- Write high-quality, well-tested code and participate in design and code reviews
- Collaborate with engineers, product managers, and platform teams to understand developer needs and translate them into reliable platform solutions
- Contribute to the team's adoption of agentic development practices and tooling
- Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.
What you'll need to thrive (Requirements)
- Bachelor’s Degree with relevant experience of 5+ years in designing and implementing scalable backend services
- Demonstrated experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling
- Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and an interest in extending them through custom plugins, skills, or hooks
- Experience with MCP (Model Context Protocol), tool use patterns, or similar agentic integration frameworks
- Working knowledge of prompt engineering and how LLM behavior responds to context and instructions
- Strong foundation in Java, Kotlin, or another object-oriented language
- Experience with distributed systems, REST APIs, and cloud-native infrastructure
- Strong customer empathy and a drive to make developers' lives better through reliable, well-designed platform solutions
What will help you stand out
- Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
- Experience with machine learning concepts, model evaluation, or ML infrastructure
- Experience building developer experience platforms, internal tooling, or API gateways
- Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)
AI at Toast
At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
#LI-HYBRID
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
------
For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Ready to apply?
Apply to Toast
Developer Relations Engineer - Kimchi
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
Kimchi is an open-source AI inference platform built for teams running serious agentic coding workloads. We're building the harness, the routing, and the infrastructure layer that makes running your own AI coding stack possible - and affordable. We're early, moving fast, and the developer community is central to how we grow.
What you'll do
- Build things publicly with Kimchi - tutorials, demos, integrations - that show developers how to solve real problems. Think live build logs, OSS integrations, or benchmarks you'd want to read yourself.
- Be the voice of the the developer community: Discord, GitHub discussions, Reddit, HN - be present where developers are already talking about the problems we solve
- Be the structured feedback loop between dev community and product - synthesize what you're hearing into actionable signals for the product team.
- Write technical content that ranks and spreads: setup guides, benchmark breakdowns, comparison posts, integration walkthroughs
- Speak at conferences, meetups and run workshops - representing Kimchi as a technical peer
- Identify where new users get stuck and advocate hard for fixes
- Help shape Kimchi's voice in the developer community - what we stand for, what we say when there is trending news in the market
What we're looking for
- You've built real software and can talk about it credibly - ideally you've used agentic coding tools and have opinions about them
- You're a strong technical writer - you can explain complex things clearly and make them resonate with the developer audience
- You're comfortable being the public face of a technical product: blog posts, talks, live demos, community threads
- Huge plus: You'd have tested and found problems Kimchi solves interesting - before this job posting even existed
- Bonus: you've worked in or around Kubernetes, LLM inference, or developer tooling
What’s in it for you?
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
- Equity options.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.
Hiring process
- Screening call with Recruiter
- Hiring Manager interview
- 1-2 additional interviews based on the role
- Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote
Ready to apply?
Apply to Cast AI
About Gruve
Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
Position Summary:
We are looking for a Staff Software Engineer – Full Stack & AI Innovation with strong hands-on experience in TypeScript (Node.js, JavaScript), and/or Python and a passion for leveraging AI-driven code generation tools to accelerate development. You will play a critical role in operationalizing GenAI-based code generation platform. This role involves translating product specifications into structured inputs for GenAI tools, reviewing the code generated by GenAI tool, and providing feedback to product engineering team to improve quality and performance of the GenAI tool.
You will work closely with product managers, software engineers, and AI specialists to ensure that the generated code aligns with business and technical requirements. The ideal candidate is curious, adaptable, critic and eager to evaluate AI-assisted code generation tool.
Key Responsibilities:
- Develop, Analyze and structure product specifications for input into GenAI programming tools.
- Operate GenAI systems to generate code based on structured inputs.
- Perform detailed code reviews of GenAI-generated programs to ensure correctness, performance, and maintainability.
- Utilize several other AI-powered code generation tools (Cursor.ai, Windsurf, etc.) to compare and optimize GenAI tool in subject.
- Provide feedback to improve GenAI model outputs and prompt engineering strategies.
- Review and validate generated code for correctness, efficiency, and adherence to coding standards.
- Maintain documentation of input formats, code review findings, and feedback cycles.
- Stay current with advancements in GenAI programming tools and code generation technologies.
- Participate in code reviews and mentor junior developers.
Basic Qualifications:
- Bachelor’s/master’s in computer science, Engineering, or equivalent experience.
- 8 to 10 years' experience with strong expertise in at least one of the following:
- TypeScript / JavaScript (Node.js, React, Next.js, Angular, Vue.js)
- Python (Django, Flask, FastAPI/ RestAPI)
- Person must have designed, developed, and maintained scalable front-end and back-end applications using TypeScript/JavaScript/Python.
- Solid understanding of front-end technologies (HTML5, CSS3, Tailwind, Material UI or similar).
- Familiarity with GenAI tools and LLM-based code generation platforms (e.g., GitHub Copilot, CodeWhisperer, etc.).
- Experience with databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB).
- Hands-on experience with Cursor.ai and/or Windsurf (plus other AI-assisted coding tools like GitHub Copilot, Tabnine, Codeium).
- Strong understanding of software development principles and code review practices.
- Familiar with Code review tools (e.g. GitHub, GitLab, Bitbucket etc)
- Strong grasp of software design principles (OOP, SOLID, microservices).
- Excellent problem-solving, debugging, and collaboration skills.
- Excellent analytical and communication skills.
- Ability to work independently and collaboratively in a fast-paced environment.
Preferred Qualifications:
- Experience working with prompt engineering or structured input design for GenAI systems.
- Exposure to MLOps or AI model evaluation frameworks.
- Knowledge of software architecture and design patterns.
- Knowledge of containerization (Docker, Kubernetes).
- Exposure to serverless architecture and event-driven systems.
- Contribution to open-source or AI-driven development communities.
Why Gruve
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
Ready to apply?
Apply to Gruve
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future.
An AI pod is Toast's AI-native engineering team, a focused pod of specialists who tackle complex, high-impact problems across Toast's product and platform landscape using AI-first approaches.
As Senior Principal Software Engineer and Senior Architect, you will be one of the most senior technologists at Toast, setting the technical vision and architectural direction for the pod while remaining hands-on in its most ambitious work. You'll define how AI-native engineering is done at Toast and spread those patterns across the organization.
A day in the life (Responsibilities)
- Develop and drive the architectural vision for AI Pod, establishing patterns for AI-native development that scale across Toast engineering
- Be an active participant and authoritative technical voice in cross-organizational strategy and architecture discussions
- Lead the pod's most complex, high-impact initiatives from design through production — staying hands-on throughout
- Evolve agentic development practices within the pod and champion their adoption across Toast
- Work closely with other Senior Principal Engineers and technical leaders across Toast to advance the overall architecture
- Mentor and develop technical leadership within the pod and across teams
- Partner with engineering leadership and product to translate strategic goals into executable technical plans
What you'll need to thrive (Requirements)
- 12+ years of experience designing and building highly scalable, mission-critical distributed software systems
- 10+ years of experience building and operating SaaS products, ideally AWS-hosted
- Demonstrated ability to drive architectural vision for a company, line of business, or highly scalable platform
- Deep experience building, deploying, and operating LLM-powered agents and AI-native systems
- 1+ years of hands-on experience using the latest AI coding agents with a strong desire to go all-in on agentic development practices
- Experience with MCP (Model Context Protocol), tool use patterns, or similar agentic integration frameworks
- Ability to move fluidly between whiteboard architecture and understanding the ebb and flow of code under load
- Ability and desire to communicate and influence at the executive level
What will make you stand out
- Experience managing or leading a small engineering team (2-4 engineers)
- Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
- Experience with machine learning concepts, model evaluation, or ML infrastructure
- Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)
AI at Toast
At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Ready to apply?
Apply to Toast
Senior GTM AI Automation Engineer
What You'll Do
At HG Insights, we run one of the most data-rich go-to-market environments in B2B SaaS. We're looking for a Senior/Staff GTM automation engineer who will sit inside our Sales Engineering and Solutions team and build the tools, integrations, and AI-powered workflows that make our Sales Engineers, Solutions Engineers, and Enterprise CSMs dramatically more effective.
This is a force-multiplier role. You'll embed with revenue teams, understand their daily jobs to be done, and turn manual, repetitive work into fast, reliable automations—so our best people spend their time on the work only humans can do.
Core Responsibilities
- Workflow discovery: Shadow and interview Sales Engineers, Solutions Engineers, and Enterprise CSMs to map their day-to-day workflows and build a prioritized automation backlog ranked by impact and effort
- Sales Engineering tools: Build data-assembly tools that pull from HG's APIs, automate technical discovery prep, and generate proof-of-concept materials—reducing manual pre-call and post-call work for SEs
- Solutions Engineering tools: Automate the generation of technical scoping docs, integration-architecture diagrams, and solution briefs; maintain a reusable library of solution templates and sandbox configurations
- Enterprise CSM automations: Build automations for account health briefs, QBR summaries, risk-detection alerts, and personalized outreach workflows using data from Vitally, Salesforce, and Slack
- AI-powered workflow engineering: Design and deploy LLM-based workflows using Claude and the Claude Agent SDK—building agents, MCP server integrations, and agentic pipelines that operate across the GTM tool stack
- Platform ownership: Maintain and evolve the internal GTM automation stack; document every tool so teams can self-serve; instrument monitoring so failures surface quickly
What We're Looking For
Experience
- 3–7 years in a technical role—software engineering, solutions engineering, RevOps engineering, or a closely related field
- Demonstrated track record of building internal tools or automations that eliminated manual work for a GTM or customer-facing team
- Hands-on experience integrating with SaaS APIs (Salesforce, Slack, HubSpot, Vitally, or similar)
Technical skills
- Expert-level user of Claude Code—you use it daily, understand its agentic capabilities, and can build production workflows with it
- Proficiency in Python and/or JavaScript/TypeScript for scripting, API integration, and automation
- Working knowledge of MCP (Model Context Protocol) servers and LLM-based agent frameworks
- Comfort with workflow automation platforms such as n8n, Zapier, or Make
- Familiarity with the GTM tool ecosystem: Salesforce, Vitally, Slack, Gong, Granola, Outreach, or equivalent
How you work
- Business mindset: You understand that tools are only valuable if people use them—you design for adoption, not just functionality
- Discovery-first: You run structured discovery sessions with non-technical stakeholders and translate fuzzy pain points into scoped, buildable solutions
- Ship fast, iterate often: You prefer a useful tool in users' hands over a perfect tool on a roadmap
- High reliability bar: If an automation breaks, the team loses trust—you build with monitoring and graceful failure in mind
Nice to have
- Experience working in or embedded with a Sales Engineering, Solutions Consulting, or Customer Success team
- Familiarity with HG Insights products and use cases—technology intelligence, installed-base data, or intent signals
- Prior experience building Claude-powered agents or working with the Anthropic API at a production level
Why HG Insights
We're the global leader in technology intelligence—the data that helps the world's best B2B sales and marketing teams find and close the right customers. This role offers an uncommon combination of technical depth and business impact: you'll define your own roadmap, work directly with the teams you're serving, and see your work reflected in real revenue outcomes.
We offer competitive compensation, equity, and a team that genuinely invests in your growth as an engineer and as a GTM thinker.
HG Insights is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Ready to apply?
Apply to HG Insights
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you
So, what’s the role all about?
We are seeking a visionary Software Architect to serve as a technical leader for our engineering teams. In this role, you will bridge the gap between high-level strategy and hands-on execution, managing architectural subdomains within a large-scale platform. You will be responsible for guiding engineers toward correct technical paths, making high-stakes decisions, and relentlessly driving innovation and AI-first transformation across the organization.
How will you make an impact?
- Technical Leadership: Lead and influence multiple engineering teams, ensuring architectural alignment and high-quality technical decisions across subdomains.
- System Design: Architect resilient, multi-tenant cloud solutions and distributed event-driven systems that scale.
- Stakeholder Management: Collaborate with product leaders, directors, and cross-functional teams to navigate complex requirements in a multi-domain environment.
- API & Integration Strategy: Define robust API management strategies and ensure system resiliency through modern integration patterns.
- AI Integration: Evangelize and implement AI productivity tools (GitHub Copilot, Agents) and oversee the lifecycle of AI-driven applications utilizing LLMs.
Have you got what it takes?
- Total 14+ years and relevant 8+ years’ experience as Software Architect .
- Cloud Expertise: Proven track record of designing and deploying production-grade systems on AWS using a broad range of AWS native services.
- Architectural Depth: Deep experience in Multi-tenant Cloud Architecture, Event-Driven Systems, and Resiliency Patterns
- Polyglot Mindset: A "right tool for the job" approach, with a willingness to work across various languages and frameworks in an AI-first environment.
- Communication: Exceptional ability to articulate complex technical concepts to both technical and non-technical stakeholders.
- AI/LLM Proficiency: It will be good to have a person with practical understanding of AI project lifecycle specifically using LLMs and the use of AI agents to accelerate development
- Backend: Advanced proficiency in Java and Springboot Framework. Exposure to Node.js will be a significant plus.
- Infrastructure: Hands-on experience with AWS CloudFormation (YAML) and Infrastructure as Code.
- Data: Strong mastery of SQL required
- Big Data exposure to Apache Spark or Big Data processing will be a bonus.
- Frontend: Solid understanding of modern UI frameworks and frontend development principles.
- Tooling: Expert-level use of Jira, GitHub, GitHub Copilot, and Claude Code/other AI agents for productivity
- Testing : good exposure to automation testing and frameworks for unit testing , integration testing , e2e testing, performance testing.
What’s in it for you?
Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr.
Enjoy NICE-FLEX!
At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.
Requisition ID: 10835
Reporting into: Director, Engineering, CX
Role Type: Individual Contributor
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
Ready to apply?
Apply to NICE
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future.
AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.
As a Senior Software Engineer on this team, you'll be hands-on building full-stack across the systems other Toast engineers depend on every day: the LLM proxy, agentic workflows, and the plugin marketplace that brings AI-native development practices to teams across the company.
A day in the life (Responsibilities)
- Design, build, and ship features across AI platform infrastructure, including the LLM proxy, AI key management, and observability pipelines
- Develop and extend autonomous agents that participate in the SDLC, such as the AI Review GitHub App and Developer Platform MCP integrations
- Build on and contribute to the internal plugin marketplace, developing plugins that encode Toast's architectural standards and quality practices into AI assistant behavior
- Implement MCP (Model Context Protocol) services and service templates that make it faster and easier for teams across Toast to build AI-powered workflows
- Contribute full-stack across backend services and frontend or developer-facing interfaces as needed
- Write high-quality, well-tested code and participate in design and code reviews
- Partner closely with product management to shape feature requirements, contribute to roadmap discussions, and translate product vision into reliable technical solutions
What you'll need to thrive (Requirements)
- 5+ years of experience designing and implementing scalable software systems, with a full-stack background spanning backend services and frontend or developer-facing interfaces
- Demonstrated experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling
- Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and an interest in extending them through custom plugins, skills, or hooks
- Experience with MCP (Model Context Protocol), tool use patterns, or agentic frameworks
- Working knowledge of prompt engineering and how LLM behavior responds to context and instructions
- Strong foundation in modern backend (Java, Kotlin, or similar) and frontend (TypeScript, React, or similar) technologies
- Experience with distributed systems, REST APIs, and cloud-native infrastructure
- Strong customer empathy and a drive to make developers' lives better through reliable, well-designed platform solutions
What will make you stand out
- Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
- Experience with machine learning concepts, model evaluation, or ML infrastructure
- Experience building developer experience platforms, internal tooling, or API gateways
- Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)
AI at Toast
At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Ready to apply?
Apply to Toast
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
ABOUT THE ROLE:
We are establishing a dedicated team of AI Engineers to serve as a long-term strategic AI partner to one of the most influential AI organizations in the Middle East, headquartered in the UAE. This team will work closely with a highly ambitious client operating at the forefront of AI adoption across the region, supporting a continuously evolving pipeline of AI-driven initiatives.
As a Principal AI Engineer, you will work directly with customer leadership, technical teams, and internal stakeholders to deeply understand complex use cases and design, build, and deploy impactful AI solutions. This role blends hands-on engineering, AI system design, and customer-facing strategy—similar in scope to a hands-on AI startup CTO.
Rather than supporting a single static product, you will work across multiple domains and initiatives as new opportunities emerge. The Middle East’s strong national investment in AI creates a unique environment where experimentation, ambition, and real-world impact are expected, not optional.
WHAT MAKES THIS ROLE UNIQUE:
- A long-term strategic partnership, not short-term consulting.
- Exposure to large-scale, high-impact AI initiatives across sectors such as government, healthcare, energy, smart cities, and advanced research.
- The opportunity to design and deploy AI systems in an environment prioritizing speed, innovation, and real-world outcomes.
- A high-trust, fast-moving setting where engineers have meaningful ownership and influence.
RESPONSIBILITIES:
Customer Engagement & AI Strategy
- Partner closely with client stakeholders to understand strategic objectives, technical requirements, and operational constraints.
- Act as a trusted advisor on AI strategy, helping customers identify, prioritize, and implement high-impact generative and agentic AI use cases.
- Lead workshops, technical deep dives, and brainstorming sessions to translate business needs into AI-driven solutions.
AI Solution Design & Delivery
- Design, prototype, and deploy AI-powered proofs of concept (PoCs) and production solutions using generative AI models, agentic systems, and LLM workflows.
- Build end-to-end AI pipelines, from data ingestion to deployment, ensuring scalability, security, and performance on modern infrastructure.
- Implement solutions using the latest AI models and techniques, driving tangible business outcomes for the client.
Iterative Prototyping & Experimentation
- Use an experiment-driven approach to rapidly test hypotheses, iterate on designs, and refine solutions in collaboration with client teams.
- Explore and apply cutting-edge techniques in areas such as NLP, computer vision, reinforcement learning, and multi-agent systems.
- Develop reusable frameworks, patterns, and tools to accelerate AI delivery across future initiatives.
Cross-Functional Collaboration
- Work closely with Sales, Solutions Engineering, Solutions Architects, Applied Research, Product, and Customer Success teams supporting the same account.
- Provide structured feedback from customer engagements to influence internal product and platform development.
Knowledge Sharing & Mentorship
- Document best practices, architectures, and lessons learned from deployments to strengthen internal delivery capabilities.
- Mentor junior engineers on applying generative and agentic AI technologies in real-world, enterprise environments.
REQUIREMENTS:
Technical Expertise
- Strong proficiency in Python and/or JavaScript, with experience using ML frameworks such as PyTorch or TensorFlow.
- Hands-on experience with generative AI models (e.g., GPT-4/5), LLM-based systems, agentic workflows, or reinforcement learning frameworks.
- Experience deploying AI/ML systems into production using cloud platforms (AWS, Azure) or on-premise infrastructure.
Problem Solving & Systems Thinking
- Proven ability to translate ambiguous business challenges into concrete, scalable AI solutions.
- Strong analytical skills to evaluate model performance and optimize systems for real-world constraints.
Client-Facing & Communication Skills
- Excellent communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
- Comfort operating in ambiguous, high-stakes environments while building trust-based client relationships.
Adaptability & Mindset
- Ability to work across multiple industries and domains, tailoring AI solutions to different contexts.
- Entrepreneurial mindset with a focus on ownership, execution, and measurable impact.
- Willingness to travel or work on-site with clients as required.
Education & Experience
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
- 3+ years of experience in software engineering, applied machine learning, or AI-focused roles.
- Prior experience working directly with customers on AI-driven applications is highly desirable.
- Passion for staying at the forefront of generative and agentic AI advancements and applying them pragmatically.
WHY THIS ROLE:
This role is ideal for engineers who thrive at the intersection of deep technical work, customer engagement, and real-world impact. As a Forward Deployed AI Engineer, you will help shape how AI is adopted at scale in one of the most ambitious and fast-growing AI regions globally—while growing alongside a client whose challenges and opportunities will continuously evolve.
BENEFITS
- You will work with amazing teammates from across Europe.
- Take a leading role in our newly-established Bulgarian center, contributing to the foundation of our future.
- Our Sofia office is right in the center, ensuring that everything you need is close by.
- Monthly transport allowance and enjoy the convenience of a dedicated parking area at the office.
- Enjoy 25 days of paid leave, we make sure you have plenty of time to relax and recharge.
- We’ve got you covered with additional premium health insurance and dental care, to keep you and your family protected.
- We offer food vouchers and to add a little extra you can enjoy complimentary meals in the office.
- Fully covered Multisport card that gives you access to a variety of fitness options to keep you active and feeling great.
- We support your growth with certifications and courses that help you advance your career.
- Join us for Social Events, Informal Office Gatherings and Team-building activities with your colleagues, where we celebrate our achievements together.
- We’ll work with you on an individual plan to help you reach your career goals.
- Benefit from our coaching and mentorship programs, technological and professional guilds that offer guidance and support for your career journey.
- Participate in various social initiatives, contributing to causes that matter to you.
- Use our online platform, dedicated to your well-being and mental health.
- Enjoy the flexibility of our Work Abroad Policy, letting you work from another European country for a period of time.
- Refer a Friend, Get Rewarded.
To see more roles, click here.
Ready to apply?
Apply to Amdaris
Staff GenAI Research Scientist - Retrieval
Staff GenAI Research Scientist - Retrieval
P-1214
At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions.
The Databricks AI Research organization enables companies to develop AI models and systems using their own data, with technologies ranging from pre-training LLMs from scratch to augmented generation using the latest retrieval techniques. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.
Job Description
As a Staff Research Scientist on the Enterprise Agents team, you will be responsible for keeping up with the latest developments in Agent Context, Information Retrieval, Knowledge Assistants, RAG, Embeddings, and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.
The Impact you will have
As a Staff Research Scientist on the AI Research Team at Databricks, You Will:
- Define and lead independent research agendas on Information Retrieval for reusable Agent components, conducting experiments to empirically validate hypotheses and benchmark against state-of-the-art approaches.
- Drive research and technical strategy across enterprise retrieval and search, including workspace search, vector search.
- Drive algorithmic innovations for Retrieval within Large Language Models.
- Experience with Agent Benchmarks for retrieval, text-embeddings and LLM Data Quality.
What We Look for
- 5+ years of
- PhD in Computer Science or related field with strong foundations in Natural Language Processing and Information Retrieval
- Developing and implementing methods that extend and improve model capabilities, reliability, and safety.
- Strong preference for candidates with first-author publications at top ML/systems conferences (EMNLP, ICLR, ACL, NeurIPs) focused on optimization or efficiency.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future.
AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.
As a Principal Software Engineer, you'll set the technical direction for how we design, build, and evolve these systems, working full-stack across the agentic workflows that employees across Toast depend on every day. This role is for someone who can drive architecture, raise the engineering bar across the team, and stay hands-on building.
A day in the life (Responsibilities)
- Define and drive the technical architecture for AI Foundations platform, spanning backend services, frontend tooling, and third party integrations
- Lead full-stack design and delivery across the LLM proxy, AI key management, observability pipelines, and internal plugin marketplace
- Architect and deliver autonomous agents and MCP services that participate in the software development lifecycle
- Set and uphold engineering standards across the team: code quality, system design, testing, and operational practices
- Mentor and technically lead engineers across all levels through design reviews, code reviews, and pairing
- Partner with product and platform leadership to shape the AI Foundations roadmap and translate strategy into executable technical plans
- Collaborate closely with designers and product teams to translate UX concepts into polished, production-ready frontend experiences
- Serve as a key technical voice in cross-team discussions, representing AI Foundations in architecture decisions across Toast engineering
What you'll need to thrive (Requirements)
- 10+ years of experience designing and delivering scalable software systems, with a strong full-stack background spanning backend services and frontend or developer-facing interfaces
- Demonstrated experience leading technical architecture for a platform, product, or engineering team
- Proven ability to mentor engineers and raise the technical bar of a team through standards, reviews, and hands-on guidance
- Experience building, deploying, or operating LLM-powered agents or AI platform infrastructure
- Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and experience extending them through custom plugins, skills, or hooks
- Experience with MCP, tool use patterns, or agentic frameworks
- Strong foundation in modern backend (Java, Kotlin, or similar) and frontend (TypeScript, React, or similar) technologies, with demonstrated experience building user-facing product interfaces
- Comfort with a rapidly changing technical landscape and a bias towards action over analysis paralysis
What will make you stand out
- Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
- Experience with machine learning concepts, model evaluation, or ML infrastructure
- Experience building developer experience platforms or internal tooling
- Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)
**This role requires a minimum of two days per week in our Dublin office**
AI at Toast
At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
ABOUT THE ROLE:
We are establishing a dedicated team of AI Engineers to serve as a long-term strategic AI partner to one of the most influential AI organizations in the Middle East, headquartered in the UAE. This team will work closely with a highly ambitious client operating at the forefront of AI adoption across the region, supporting a continuously evolving pipeline of AI-driven initiatives.
As an Senior AI Engineer, you will work directly with customer leadership, technical teams, and internal stakeholders to deeply understand complex use cases and design, build, and deploy impactful AI solutions. This role blends hands-on engineering, AI system design, and customer-facing strategy—similar in scope to a hands-on AI startup CTO.
Rather than supporting a single static product, you will work across multiple domains and initiatives as new opportunities emerge. The Middle East’s strong national investment in AI creates a unique environment where experimentation, ambition, and real-world impact are expected, not optional.
WHAT MAKES THIS ROLE UNIQUE:
- A long-term strategic partnership, not short-term consulting.
- Exposure to large-scale, high-impact AI initiatives across sectors such as government, healthcare, energy, smart cities, and advanced research.
- The opportunity to design and deploy AI systems in an environment prioritizing speed, innovation, and real-world outcomes.
- A high-trust, fast-moving setting where engineers have meaningful ownership and influence.
RESPONSIBILITIES:
Customer Engagement & AI Strategy
- Partner closely with client stakeholders to understand strategic objectives, technical requirements, and operational constraints.
- Act as a trusted advisor on AI strategy, helping customers identify, prioritize, and implement high-impact generative and agentic AI use cases.
- Lead workshops, technical deep dives, and brainstorming sessions to translate business needs into AI-driven solutions.
AI Solution Design & Delivery
- Design, prototype, and deploy AI-powered proofs of concept (PoCs) and production solutions using generative AI models, agentic systems, and LLM workflows.
- Build end-to-end AI pipelines, from data ingestion to deployment, ensuring scalability, security, and performance on modern infrastructure.
- Implement solutions using the latest AI models and techniques, driving tangible business outcomes for the client.
Iterative Prototyping & Experimentation
- Use an experiment-driven approach to rapidly test hypotheses, iterate on designs, and refine solutions in collaboration with client teams.
- Explore and apply cutting-edge techniques in areas such as NLP, computer vision, reinforcement learning, and multi-agent systems.
- Develop reusable frameworks, patterns, and tools to accelerate AI delivery across future initiatives.
Cross-Functional Collaboration
- Work closely with Sales, Solutions Engineering, Solutions Architects, Applied Research, Product, and Customer Success teams supporting the same account.
- Provide structured feedback from customer engagements to influence internal product and platform development.
Knowledge Sharing & Mentorship
- Document best practices, architectures, and lessons learned from deployments to strengthen internal delivery capabilities.
- Mentor junior engineers on applying generative and agentic AI technologies in real-world, enterprise environments.
REQUIREMENTS:
Technical Expertise
- Strong proficiency in Python and/or JavaScript, with experience using ML frameworks such as PyTorch or TensorFlow.
- Hands-on experience with generative AI models (e.g., GPT-4/5), LLM-based systems, agentic workflows, or reinforcement learning frameworks.
- Experience deploying AI/ML systems into production using cloud platforms (AWS, Azure) or on-premise infrastructure.
Problem Solving & Systems Thinking
- Proven ability to translate ambiguous business challenges into concrete, scalable AI solutions.
- Strong analytical skills to evaluate model performance and optimize systems for real-world constraints.
Client-Facing & Communication Skills
- Excellent communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
- Comfort operating in ambiguous, high-stakes environments while building trust-based client relationships.
Adaptability & Mindset
- Ability to work across multiple industries and domains, tailoring AI solutions to different contexts.
- Entrepreneurial mindset with a focus on ownership, execution, and measurable impact.
- Willingness to travel or work on-site with clients as required.
Education & Experience
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
- 3+ years of experience in software engineering, applied machine learning, or AI-focused roles.
- Prior experience working directly with customers on AI-driven applications is highly desirable.
- Passion for staying at the forefront of generative and agentic AI advancements and applying them pragmatically.
WHY THIS ROLE:
This role is ideal for engineers who thrive at the intersection of deep technical work, customer engagement, and real-world impact. As a Senior AI Engineer, you will help shape how AI is adopted at scale in one of the most ambitious and fast-growing AI regions globally—while growing alongside a client whose challenges and opportunities will continuously evolve.
BENEFITS
- You will work with amazing teammates from across Europe.
- Take a leading role in our newly-established Bulgarian center, contributing to the foundation of our future.
- Our Sofia office is right in the center, ensuring that everything you need is close by.
- Monthly transport allowance and enjoy the convenience of a dedicated parking area at the office.
- Enjoy 25 days of paid leave, we make sure you have plenty of time to relax and recharge.
- We’ve got you covered with additional premium health insurance and dental care, to keep you and your family protected.
- We offer food vouchers and to add a little extra you can enjoy complimentary meals in the office.
- Fully covered Multisport card that gives you access to a variety of fitness options to keep you active and feeling great.
- We support your growth with certifications and courses that help you advance your career.
- Join us for Social Events, Informal Office Gatherings and Team-building activities with your colleagues, where we celebrate our achievements together.
- We’ll work with you on an individual plan to help you reach your career goals.
- Benefit from our coaching and mentorship programs, technological and professional guilds that offer guidance and support for your career journey.
- Participate in various social initiatives, contributing to causes that matter to you.
- Use our online platform, dedicated to your well-being and mental health.
- Enjoy the flexibility of our Work Abroad Policy, letting you work from another European country for a period of time.
- Refer a Friend, Get Rewarded.
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We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
About the Project
The platform uses AI agent architectures to generate and validate educational content at scale, serving multiple products across the organization. The team owns the end-to-end lifecycle: workflow design, LLM orchestration, evaluation, and production operations.
About the Role
We are looking for a senior AI engineer ready to work at the heart of production AI systems. You will contribute directly to two core services: Conversation Brain, an LLM-driven conversation engine, and Ambient ORA, a speech assessment engine powering multiple products. The role sits at the intersection of product engineering and AI science, bridging research outputs from the R&D team into production-grade services.
Key Responsibilities:
- Design, develop, and optimize AI-driven content generation workflows.
- Contribute directly to our codebases, building and maintaining agentic workflows using Python (FastAPI, CrewAI, LangGraph, LangChain) and Go where needed.
- Build and maintain agentic workflows using CrewAI, LangGraph, and LangChain.
- Ensure code quality through unit and integration tests written as part of the development workflow, in line with our shift-left approach where developers own test creation.
- Operationalize AI models in collaboration with the AI R&D.
- Implement LLM observability and evaluation using Langfuse, OpenLit, and New Relic.
- Design and run LLM evaluation benchmarks and regression detection.
- Integrate and manage resources across Azure (Container Apps, Service Bus, Blob Storage) and AWS.
- Ensure robust CI/CD pipelines and contribute to SDLC best practices.
- Package, deploy, and scale applications using Docker; Kubernetes experience is a plus.
Required Skills & Qualifications
- Strong Python development skills (FastAPI) and hands-on experience with agentic and LLM frameworks
(CrewAI, LangGraph, LangChain, or equivalent). - Production experience with LLMs, including prompt engineering, model evaluation, and
operationalizing research outputs into production services (Azure OpenAI, Google Vertex AI). - Practical experience with Azure services (Container Apps, Service Bus, Key Vault, Blob Storage) and
familiarity with AWS. - Experience with LLM observability and monitoring tools (Langfuse, OpenLit, New Relic, or equivalent).
- Solid grasp of CI/CD, DevOps, and SDLC. Working knowledge of Docker, with k8s experience as a plus.
- Familiarity with ML/NLP tooling (PyTorch, Hugging Face Transformers, spaCy, scikit-learn) a strong plus.
- Daily user of AI development tools (Cursor, Claude Code, Copilot).
- Fluent English, spoken and written.
- Nice to have: Working knowledge of Go, with the ability to read, modify, and maintain existing Go
services
Benefits:
- Opportunities for certification and training
- Dual monitor setup and high-spec workstations
- English courses
- Gym allowance
- Medical Reimbursement
- Full salary covered up to 20 days of sickness
- Flexible working hours
- Loyalty scheme
- Team building activities, special events and conferences
- UK/EU Travel opportunities
- Snacks and drinks in the office
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(Senior) Technical Project Manager - Agentic AI Deployments
About Parloa
Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.
About the role:
We are looking for a Technical Project Manager (TPM) to lead medium to high complexity deployments of our Agentic AI / conversational AI platform for enterprise customers. In this role, you’ll own the end-to-end delivery lifecycle—from scoping and planning through go-live and hypercare—working in a pod model alongside a Forward Deployed Engineer (FDE) and an Agent Architect (AA). You will be the primary owner of timeline, scope, risk, governance, and stakeholder communication, ensuring that customers successfully transition to an Agentic OS layer for their enterprise communications.
Areas of ownership:
Project Ownership & Delivery
- Own end-to-end delivery for assigned Agentic AI customer projects (scope, schedule, budget, risk, quality).
- Run the pod (TPM + FDE + Agent Architect) as a single accountable delivery unit.
- Select and apply appropriate delivery methodology (Waterfall, Agile, or Hybrid) based on customer context and risk profile.
- Drive project planning: work breakdown, dependencies, critical path, and resource allocations across internal and partner teams.
- Maintain up-to-date project plan, RAID log (Risks, Assumptions, Issues, Dependencies) and change log.
Customer & Stakeholder Management
- Serve as primary delivery contact for customer project sponsors, IT, and business stakeholders.
- Facilitate recurring governance: status calls, steering committees, UAT readouts, and go-live reviews.
- Translate technical complexity into clear business impacts for executive stakeholders.
- Manage scope and change requests, ensuring commercial and delivery impacts are understood and agreed.
Cross-Functional & Pod Coordination
- Coordinate with Forward Deployed Engineers on integration readiness, environment setup, performance, and production stability.
- Coordinate with Agent Architects on discovery, agent design, prompt/context strategy, and conversational tuning.
- Collaborate with Sales, Solution Engineering, Product, and Support to ensure a seamless customer journey from sales handoff through BAU operations.
- Where partners are involved (SI/GSI/BPO), manage co-delivery responsibilities, expectations, and escalation paths.
Methodology & Process Discipline
- Plan and facilitate sprints, retros, and sprint reviews for Agile/hybrid projects; lead stage-gate reviews for Waterfall projects.
- Enforce documentation standards (Charter, Design Docs, Runbooks, Handover Docs).
- Ensure risk and compliance requirements (security reviews, data governance, regulatory constraints) are captured and incorporated into the plan.
Metrics & Reporting
- Define and track deployment KPIs, such as:
- Time to Blueprint, Time to First Agent in UAT, Time to Go-Live
- Milestone On-Time Rate
- Defect and incident trends during QA/UAT and Hypercare
- Report delivery status, risk posture, and mitigation plans to internal and external stakeholders.
- Contribute data to capacity and utilization models to inform planning and staffing.
Who you are:
- 5–8+ years of experience in technical project management, program management, or delivery management for SaaS or enterprise software.
- Hands-on experience delivering solutions involving at least one of:
- Contact Center / CCaaS, UCaaS, conversational AI, IVA/IVR, or related CX platforms.
- Demonstrated ability to work across technical and business stakeholders (IT, Security, Operations, Business Owners).
- Solid understanding of software delivery methodologies (Agile/Scrum, Hybrid, and Waterfall) and when to apply each.
- Strong skills in project planning tools (e.g., Jira, Asana, Monday, MS Project, Smartsheet) and collaboration tools (e.g., Confluence, Notion, Miro).
- Excellent communication, facilitation, and conflict resolution skills.
- Proven track record managing multiple concurrent projects with global, distributed teams.
- Fluency in English & German is required
NICE TO HAVE:
- Experience delivering AI/ML, NLP, LLM-based, or Agentic AI solutions.
- Background in professional services or consulting working with enterprise clients.
- Familiarity with APIs, webhooks, event-driven architectures, cloud infra (AWS/Azure/GCP).
- Certifications: PMP, PRINCE2, CSM/CSPO, SAFe, or equivalent.
- Experience with partner co-delivery (SI, GSI, BPO, or ISV ecosystems).
Our Recruiting Process:
Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser
Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
Parloa is an e-verify employer in the USA. Please click here to learn more.
* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
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Location Qualifications:
Ghent (hybrid, 2 days in the office)
About the position
As a Senior Backend Engineer in one of the AI focused teams, you will help shape the future of intelligent, AI-powered features that enhance how sales teams work. You'll build and maintain serverless event-driven systems and APIs that integrate with third-party services. You'll be responsible for driving technical and product decisions based on your expertise, designing solutions that leverage modern AI capabilities to deliver real value to users. Rather than a monolithic environment, you will help develop an ecosystem of services, as you identify and isolate parts of the system to increase reliability and promote quality. Your decisions will not only have an impact on the way we build our product but also on the end-user experience for all our customers.
What You’ll Do
- Develop AI-powered features that leverage large language models to automate and enhance user workflows.
- Contribute to improving our development processes and environments.
- Build and maintain integrations with third-party platforms and APIs.
- Help define, implement, and maintain our growing ecosystem of microservices.
- Work in software teams where code reviews and pair programming are part of our strong engineering culture.
- Take a security-first approach to implementing features and changes.
- Collaborate with and mentor less experienced engineers on best practices and architectures.
- Have a strong eye on the bigger picture because everything you do will have an impact on 100,000 users globally.
What We’re Looking For Nice to Have
- 5+ years developing scalable, production-ready backend systems.
- Experience with backend systems for AI/ML-powered product is a plus.
- Strong proficiency in TypeScript and Node.js.
- Interest in or experience with AI/LLM integration and prompt engineering.
- Experience with serverless architectures and event-driven systems (message queues, state machines, asynchronous workflows).
- Experience working in a cloud environment. Experience working in AWS and familiarity with services such as Lambda, DynamoDB, Bedrock, Step Functions, and API Gateway is a plus.
- Understanding the importance of strong software testing at every stage and an advocate for test-driven development.
- Comfortable analyzing, estimating, and prioritizing complex projects.
- Ability to model data and queries around feature requirements with an emphasis on performance and scalability. Experience working in a tenant database environment is a plus
- Continuous integration and delivery mindset.
- Experience designing and implementing APIs for, and collaborating with, internal and/or public data consumers.
- Team player mentality, committed to the whole software development life cycle in an agile team.
Company Highlights:
Welcome to the new era of revenue effectiveness. The merger of Showpad and Bigtincan is creating the first AI-powered platform to strengthen the entire field selling motion.
By unifying two industry-acclaimed solutions for content, readiness, engagement, and intelligence into a single operating system, we are delivering unrivaled scale and accelerated growth for our 2,000+ combined customers worldwide, including leaders in manufacturing (Dow, Dupont), healthcare (Fujifilm, Kaiser Permanente, Johnson&Johnson), CPG (Smucker’s, Mitsubishi, Stanley Black & Decker), and enterprise tech (HID, CultureAmp, LastPass).
Acclaimed by analysts and adored by customers, we’re recognized as a Leader in the Forrester Wave™ Revenue Enablement Platforms, honored by Gartner as a Customers’ Choice in Revenue Enablement Platforms, and, together, endorsed by nearly 3,000 5-star customer reviews on G2.
United, we’re focused on powering the next generation of field selling success through a more holistic engine that creates lasting value for our customers and a new vision for our category.
Discover the revenue team outcomes we’re driving together at showpad.com.
What you can expect from Showpad
We welcome every voice and are committed to building a truly inclusive environment where your differences are not just welcomed, they are celebrated. We’re building a best-in-class experience for our employees and are always identifying opportunities to encourage our team to be their authentic selves. Whether that’s paid parental leave, paid holidays (including Juneteenth and paid time off to vote), paid time off to volunteer at non-profit organizations, personal development opportunities or professional stretch assignments, you can expect Showpad to support you.
Showpad’s Commitment
We are committed to creating a diverse and inclusive organization and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other dimensions of identity.
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About Appier
Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.
About the role
We are looking for a Machine Learning Scientist Intern to join the Enterprise Solution Science Team.
This team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data.
We are currently looking for individuals who can commit to an internship schedule of 2~4 days (16~32 hours) per week. This internship opportunity entails a minimum duration of 6 months, beginning from the present date. We advise prospective applicants to carefully assess their availability for this commitment before submitting their applications.
[ Due to the hybrid work model, this position cannot be fully remote and requires working in the Taiwan office. ]
Responsibilities
- Work on one of the following ML or LLM topics: user prediction, recommendation, agents, and chatbots.
- Collaborate closely with senior ML scientists to define ML problems, algorithm development, conduct evaluations, monitoring, and continuous optimization.
- Stay up to date with the latest research and proactively propose innovative applications.
About you
[Minimum qualifications]
- Bachelor's degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields. (Master's degree preferred)
- 2+ years of experience in ML or LLM.
- Proficient in Python.
- Proficient in one of the below
1.Core ML and deep learning concepts: feature engineering, recommendation, regression, classification, clustering, etc.
2.LLM applications development techniques: RAG, agent, chatbots. - Able to evaluate models with systematic and quantitative analysis.
- Strong data intuition and familiarity with basic statistical concepts.
[Preferred qualifications]
- Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
- Proficient in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity.
#LI-AK1
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Join Apaleo and Shape the Future of Hospitality Tech!
Apaleo is the world’s most open, API-first property management platform powering the next generation of hospitality operations. Its modular, AI-powered infrastructure enables hoteliers to customise their tech stack, automate routine work, and deliver seamless, personalised guest experiences, powered by best-in-class apps and autonomous AI agents that adapt to every stay.
We are looking for a Senior Backend Engineer (f/m/d) to build the foundation of Apaleo’s market-facing API layer, bringing agentic booking into hospitality and enabling the next generation of guest-facing AI experiences.
This is a highly autonomous role where you will design and ship the Storefront API, a production-grade, scalable interface that allows external systems (like ChatGPT and booking platforms) to interact directly with Apaleo.
You’ll operate at the intersection of backend engineering and AI, starting with clean API architecture and evolving into systems that power intelligent, agent-driven interactions.
What You’ll Be Up To
Build the Storefront API from Scratch
- Design and implement a production-grade, multi-tenant API / MCP
- Enable seamless integration with external platforms and AI agents
- Ensure scalability, reliability, and high performance from day one
Own the Full API Lifecycle
- Define API schemas and contracts (OpenAPI)
- Implement versioning strategies and backward compatibility
- Design authentication, authorization, and security patterns
- Build rate limiting and usage controls
- Ensure strong documentation and developer experience
- Set up monitoring and observability
Work Across Distributed Systems
- Integrate with existing .NET microservices
- Connect to event-driven systems (Kafka or similar)
- Navigate and improve a complex distributed architecture
Operate in the Cloud
- Deploy and manage services in AWS
- Work with Docker and containerized environments
- Contribute to infrastructure as code practices
Collaborate on AI-Driven Use Cases
- Partner with AI engineers to enable agent-based workflows
- Build APIs that integrate with LLM-powered systems
- Help evolve the platform toward AI-native product capabilities
Shape Engineering Standards
- Define best practices for:
- API design
- System architecture
- Code quality and maintainability
- Contribute to how the ecosystem team scales and operates
What You’ll Bring to the Team
Core Requirements
- Proven experience building and operating production-grade APIs at scale
- Strong expertise in REST API design and architecture
- Solid experience with C# / .NET 8+
- Hands-on experience with AWS, Docker, and infrastructure as code
- Strong understanding of microservices and distributed systems
- Ability to work independently and make architectural decisions
- Interest in AI systems and integrations
Mindset & Traits
- Self-starter — you take ownership and drive work without waiting for direction
- Comfortable with ambiguity — you can build in evolving, low-structure environments
- Pragmatic decision-maker — you balance speed with long-term scalability
- Builder mindset — you enjoy creating systems from scratch
- Curious about AI — you’re motivated by where backend systems meet intelligent agents
Nice to Have
- Experience with:
- Event-driven systems (Kafka or similar)
- Multi-tenant SaaS architectures
- Developer-facing or public APIs
- Exposure to:
- LLM integrations or agent-based systems
- Python
- Any major frontend framework
- Background in hospitality tech (not required)
Why This Role Matters
This role is about more than building APIs, it’s about defining how external systems interact with Apaleo in an AI-first world.
You’ll:
- Lay the foundation for market-facing, AI-integrated products
- Enable guest-facing experiences powered by intelligent agents
- Help transform Apaleo into a platform ready for autonomous systems
What We Offer
Culture & Growth
- A Diverse & International Team: Work alongside passionate professionals from over 20 nationalities, bringing unique cultural perspectives, backgrounds, and experiences to shape the future of hospitality tech.
- Growth & Development: As we scale, so do your opportunities. You’ll benefit from 360° feedback reviews, a dedicated learning budget, and plenty of chances to take on more responsibility. Our evolving career framework ensures you have increasing opportunities to learn new skills, advance your career, and make an impact.
- Autonomy & Ownership: Great ideas can come from anywhere. We empower you to take responsibility, make decisions, and contribute directly in an environment built on trust, transparency, and collaboration.
- Shape the Future of Hospitality Tech: Be part of a fast-growing scale-up transforming the hospitality industry. From day one, your work drives real impact and you’ll have the freedom to bring your ideas to life.
- Competitive & Fair Compensation: We believe great work deserves great pay. Our salaries are competitive and guided by benchmarking data to ensure fairness across all roles and teams. We make sure to recognize and reward performance and contribution.
Perks & Lifestyle
- Flexible & Remote Work Options: We focus on results, not clocking hours. You can work from home, the office or in a hybrid setup, with flexibility to adapt your schedule as long as it makes sense for your role, your team and our business.
- Free Public Transport: Travel across Germany with ease using our fully covered Deutschland Ticket.
- Team Connection: Strong connections fuel collaboration. We celebrate and connect through regular team dinners, company meetups, Oktoberfest celebrations, Christmas parties, and other offsite events.
- Paid Time Off: Enjoy 30 days of vacation to fully disconnect, recharge, and return inspired.
- Health & Wellbeing: Prioritize your health with access to hundreds of gyms, fitness studios, and wellness options through our EGYM Wellpass membership.
Ready to apply?
Apply to Apaleo
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.
As a Staff Software Engineer on this team, you'll shape the foundation others build on: from the LLM Proxy that routes all internal AI traffic, to autonomous agents that participate directly in the software development lifecycle. If you want to work at the frontier of AI infrastructure and see your work amplify hundreds of engineers across a fast-growing company, this is the role.
A day in the life (Responsibilities)
- Design, build, and ship core AI platform infrastructure, including the LLM proxy, AI key management, and observability pipelines powering Toast's internal AI ecosystem
- Architect and deliver autonomous agents that participate in the SDLC, including the AI Review GitHub App and Developer Platform MCP integrations
- Build on and help maintain the internal plugin marketplace, developing plugins that encode Toast's architectural standards, PR patterns, and quality practices directly into AI assistant behavior
- Lead technical design and implementation of MCP (Model Context Protocol) services and no-code service templates that accelerate AI-powered development across Toast
- Drive adoption of agentic development practices through tooling, internal evangelism, and hands-on enablement across engineering teams
- Mentor engineers through code reviews, architecture discussions, and pairing sessions
- Partner with product and platform teams to define and expand the AI Foundations roadmap
What you'll need to thrive (Requirements)
- 8+ years of experience designing and implementing scalable backend services
- Strong foundation in Java, Kotlin, or another object-oriented language, with experience building scalable backend services
- Demonstrated experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling
- Deep familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and the ability to extend them through custom plugins, skills, or hooks
- Hands-on experience with MCP (Model Context Protocol), tool use patterns, or agentic frameworks
- Strong prompt engineering skills and intuition for how LLM behavior changes with context, instructions, and tool definitions
- Proven track record of technical leadership: influencing architecture decisions, setting quality standards, and mentoring peers
- Experience with distributed systems, API design, and cloud-native infrastructure
- Strong customer empathy and the ability to translate developer pain points into platform solutions
What will help you stand out
- Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
- Experience with machine learning concepts, model evaluation, or ML infrastructure
- Experience building developer experience platforms, internal tooling, or API gateways
- Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)
This is a hybrid role with 2 days per week in the Bengaluru office
AI at Toast
At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Ready to apply?
Apply to Toast
En EPAM NEORIS, creemos que la transformación empieza por las personas. Hoy, como parte de EPAM, ampliamos nuestro alcance global y nuestras capacidades, pero mantenemos lo más importante: una cultura donde cada persona puede crecer, aportar y ser protagonista. No buscamos solo cubrir puestos. Buscamos incorporar talento que quiera superarse, aprender constantemente y dejar huella en cada proyecto. Somos un equipo diverso, inclusivo y en constante evolución. Impulsamos ideas, no jerarquías. Apostamos por el desarrollo real de cada persona. Si quieres trabajar en un lugar donde tu crecimiento importa tanto como los resultados, te estamos buscando.
Respaldados por más de 60,000 profesionales en más de 55 países y un sólido modelo Nearshore, conectamos capacidades globales con confianza local para generar impacto real, crecimiento sostenible y resultados de alto valor para nuestros clientes.
Estamos en búsqueda de: Ingenieros/as en IA Generativa – Sector Banca (Mid & Senior)
Buscamos perfiles con 3-4 años de experiencia y perfiles Senior con 5-6 años de experiencia para participar en proyectos estratégicos de transformación digital en clientes del sector financiero, trabajando en soluciones basadas en LLMs, arquitecturas RAG y agentes inteligentes en entornos cloud.
Principales responsabilidades:
• Diseñar y desarrollar soluciones de IA Generativa aplicadas a casos de uso bancarios (asistentes virtuales, automatización documental, análisis inteligente, copilotos internos, etc.).
• Implementar y orquestar agentes utilizando frameworks como LangChain y LangGraph.
• Diseñar arquitecturas RAG (Retrieval-Augmented Generation) robustas y escalables.
• Integrar modelos LLM (OpenAI, modelos open-source, Bedrock, etc.) en entornos productivos.
• Desplegar soluciones en AWS asegurando buenas prácticas de seguridad, escalabilidad y gobierno del dato.
• Colaborar con equipos de Data, Arquitectura y Negocio para definir soluciones técnicas alineadas a requerimientos regulatorios del sector banca.
• Optimizar rendimiento, costes y calidad de respuestas de los modelos.
Requerimientos:
Excluyentes:
• Experiencia en proyectos de IA Generativa con LLMs.
• Conocimiento práctico en desarrollo de agentes con LangChain y/o LangGraph.
• Experiencia diseñando e implementando arquitecturas RAG.
• Experiencia trabajando en entornos Cloud (AWS idealmente).
• Programación en Python.
• Experiencia en integración de APIs y microservicios.
Deseables:
• Experiencia previa en sector Banca o Servicios Financieros.
• Conocimientos en Data Engineering (pipelines, procesamiento de datos, vector databases).
• Experiencia en Machine Learning tradicional (entrenamiento, evaluación, MLOps).
• Conocimientos en AWS Bedrock, SageMaker u otros servicios de IA en AWS.
• Experiencia con bases de datos vectoriales (FAISS, Pinecone, OpenSearch, etc.).
• Buen entendimiento de prácticas de seguridad y cumplimiento normativo en entornos regulados.
Ofrecemos
• Contrato indefinido con salario competitivo
• Modalidad flexible y posibilidad de trabajo remoto.
• Plan de carrera personalizado y formación continua
• Participación en proyectos estables con alto componente técnico.
• Flexibilidad horaria y enfoque en la conciliación.
• Beneficios sociales adaptados a tus necesidades
Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.
#LI-CF1
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Enterprise Account Executive / Business Development Manager
Job summary:
- We are looking for a talented Enterprise Account Executive / Business Development Manager to join our fast-growing Brandwatch Sales organisation. You will be responsible for driving new enterprise revenue in India with a strong focus on Trajaan, while also growing strategic accounts across the broader Brandwatch portfolio.
- This is a hybrid AE/AM role suited to a highly commercial, enterprise seller who can both self-generate pipeline and expand existing customer relationships. The ideal candidate will have a strong track record in enterprise SaaS sales with a skill-set including, but not limited to, prospecting, pipeline generation, complex deal management, executive stakeholder engagement, renewal negotiation, upselling and especially cross-selling. A key part of this role will be leading with Trajaan as a strategic growth priority, while identifying opportunities to expand into other Brandwatch solutions where relevant.
- You will drive growth by engaging some of India’s largest organisations, challenging the way customers think about search intelligence, consumer intelligence and digital strategy, and positioning how Trajaan and Brandwatch can support those evolving priorities. You would be a great fit if you are comfortable building from the ground up, owning the full commercial cycle, and balancing a hunter mindset with strong account growth instincts.
What you will do:
- Drive new enterprise business growth in India, with a primary focus on Trajaan and a secondary focus on the wider Brandwatch portfolio;
- Build and manage a robust pipeline through proactive outbound prospecting, self-generated opportunities, partner collaboration and internal support functions;
- Own the full sales cycle from initial outreach and discovery through solutioning, commercial negotiation and contract execution;
- Lead land-and-expand motions across strategic accounts, identifying upsell and cross-sell opportunities;
- Build long-term relationships with senior stakeholders across Marketing, Insights, Digital, Strategy, Communications and related enterprise functions;
- Act as a trusted advisor to customers by challenging the status quo and promoting how Trajaan and Brandwatch can support growth, visibility and competitive advantage;
- Maintain constant engagement with accounts post-sale, partnering with Customer Success and internal stakeholders to drive adoption, value realisation, retention and expansion;
- Identify commercial risk and collaborate with internal teams to clear blockers, protect revenue and support successful renewals where relevant;
- Be the primary point of contact for the customer on all commercial and contractual matters within your portfolio;
- Partner with internal Brandwatch and Cision stakeholders to align account plans with the customer’s business priorities and strategic goals;
- Develop strong market knowledge across enterprise sectors in India and stay informed on trends across search, LLM visibility, digital intelligence, consumer behaviour and competitive landscape;
- Possess excellent product knowledge across Trajaan and Brandwatch solutions and lead tailored product demonstrations aligned to customer needs.
- Maintain accurate forecasting, pipeline hygiene and account activity within CRM and reporting systems.
What you will have:
- A strong background in enterprise sales and business development, with SaaS experience strongly preferred;
- 6+ years of experience in a quota-carrying sales role, ideally across a mix of new business acquisition and account growth;
- Proven ability to self-generate pipeline and win new enterprise logos in a competitive market;
- Drive and ambition to achieve and exceed sales quotas;
- Commercial acumen and comfort working towards ambitious growth targets in a highly accountable environment;
- Experience managing complex, multi-stakeholder sales cycles and negotiating commercial agreements with enterprise customers;
- Experience in growing existing client relationships through upsell, cross-sell and renewal ownership where required;
- A results-oriented, highly motivated and enthusiastic attitude, with the ability to work independently in a fast-paced environment;
- Familiarity operating in a high-growth, high-velocity sales environment;
- Outstanding consultative selling skills, including objection handling, negotiation, influencing and value-based solution selling;
- Ability to build strong relationships with internal and external stakeholders;
- Excellent English communication skills; additional Indian regional language capability would be an advantage;
- Deep interest in or knowledge of search intelligence, digital intelligence, consumer insights, social media, marketing technology or customer experience.
Soft skills:
- Top-class presentation and communication skills.
- Excellent analytical, problem-solving and decision-making skills.
- Detail-oriented and persuasive.
- Strong sense of ownership;
- Strong commercial curiosity and a proactive mindset;
- Proficiency with tools such as Salesforce, Salesloft, 6Sense or similar;
- Use of, implementation and understanding of sales processes and methodologies.
Nice to have:
- Experience selling search intelligence, consumer intelligence, marcom or insights-focused solutions;
- Experience selling into enterprise accounts in India;
- Familiarity with Sandler, BANT, MEDDPICC or other similar sales methodologies.
- Experience working with partner or reseller ecosystems.
Ready to apply?
Apply to Brandwatch
Truveta provides unprecedented real-world data and real-time intelligence, powered by a dataset built with and owned by US health systems united in a mission of Saving Lives with Data. Together, we power breakthrough medical discoveries, accelerate regulatory-grade evidence, and improve patient care. Today, Truveta enables research on more than 130 million de-identified patients across the US.
Achieving Truveta’s ambitious mission requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
Role Overview
We are hiring a Prompt Engineer with a strong clinical informatics background to build and optimize AI prompts for healthcare and clinical data applications. This role requires hands-on clinical understanding, experience working with real clinical data, experience writing prompts for AI models, and the ability to align LLM prompts with underlying clinical data models.
You will work closely with clinicians, data engineers, and AI teams to translate clinical questions and workflows into accurate, safe, and scalable AI interactions.
Key Responsibilities
- Design, test, and optimize prompts for LLM-based clinical use cases such as:
- Cohort identification
- Clinical question answering
- Concept extraction
- Clinical code mapping
- Translate clinical requirements into structured prompts aligned with clinical data schemas
- Collaborate with data engineers to understand how diagnoses, labs, medications, encounters, and outcomes are modeled
- Evaluate AI outputs for clinical accuracy, relevance, bias, and safety
- Apply healthcare data standards (FHIR, SNOMED CT, LOINC, RxNorm, ICD-10-CM) within prompt logic and validation
- Create prompt evaluation criteria and quality benchmarks
- Document reusable prompt patterns and best practices
- Continuously improve prompts based on model behavior and user feedback.
Required Qualifications
- 2–5 years of experience in clinical informatics, healthcare analytics, or health IT
- Clinical background required, such as:
- Nursing, pharmacy, medicine, public health, or clinical informatics
- OR hands-on experience working with clinical workflows or EHR data
- Strong understanding of clinical data modeling, including representation of:
- Diagnoses, procedures, medications
- Laboratory results and vitals
- Encounters and outcomes
- Practical experience with healthcare data standards:
- FHIR
- SNOMED CT
- LOINC
- RxNorm
- ICD-10-CM
- Hands-on experience with LLMs and prompt engineering for applied or production use cases
- Ability to critically evaluate AI outputs for correctness and clinical safety
- Strong analytical, documentation, and communication skills
Preferred
- Experience with clinical NLP or unstructured clinical text
- Familiarity with EHR systems or clinical data repositories
- Working knowledge of Python for prompt testing or evaluation
- Working knowledge of SQL for exploring clinical datasets
- Experience combining structured and unstructured healthcare data
- Prior work on healthcare AI, decision support, or analytics platforms
Ready to apply?
Apply to Truveta
Who We Are
Verkada is transforming how organizations protect their people and places with an integrated, AI-powered platform. A leader in cloud physical security, Verkada helps organizations strengthen safety and efficiency through one connected software platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management.
Over 30,000 organizations worldwide, including more than 100+ companies in the Fortune 500, trust Verkada as their physical security layer for easier management, intelligent control, and scalable deployments. Founded in 2016, Verkada has expanded rapidly with 15 offices and 2,200+ full-time employees.
About the Role
We are looking for an Engineering Manager to lead a new team focused on building AI agents that improve engineering velocity, reliability, and developer experience across the company.
This team will operate with a 0→1 charter inside our Infrastructure / DevX organization, developing agentic systems that automate workflows such as CI failure triage, autonomous deployments, incident response, and proactive bug detection. The work will have a broad impact across all engineering teams by reducing toil and enabling faster iteration.
This role is both strategic and hands-on: you will define the roadmap, build and grow the team, and actively contribute to prototyping and development.
What You'll Do
- Make every engineer more productive by eliminating repetitive workflows through AI agents
- Define and own the agent roadmap: what to automate, in what order, and how to measure success
- Build and lead a small, high-impact team of engineers
- Contribute hands-on to prototyping, coding, and unblocking technical challenges
- Establish evaluation frameworks for agent performance (golden tasks, regression sets, replay, LLM-as-judge)
- Partner closely with Infrastructure, Security, and DevX teams to integrate agents into core workflows
- Drive high engineering standards through design docs, RFCs, and strong execution
What You Bring
- 7+ years of software engineering experience, with 2+ years in engineering management
- Proven experience shipping production systems, including agentic or automation-heavy workflows
- Strong hands-on coding ability in Python, Go, or TypeScript
- Experience building systems that interact with APIs, tools, and external services (not just prompt-based interfaces)
- Demonstrated ability to define metrics and evaluate system performance rigorously
- Experience writing clear technical design documents and driving alignment
Nice to Have
- Experience building or managing developer tooling or internal platforms
- Familiarity with agent frameworks or orchestration systems
- Experience in monorepo environments
- Startup or early-stage team experience (0→1 or small team scaling)
US Employee Benefits
Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:
- Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
- Nationwide medical, vision and dental coverage
- Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
- Expanded mental health support
- Paid parental leave policy & fertility benefits
- Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
- Professional development stipend
- Fertility Stipend
- Wellness/fitness benefits
- Healthy lunches provided daily
- Commuter benefits
Additional Information
- We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.
Pay Disclosure
At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate’s skills and experience, as well as market demands and internal parity. This estimate can vary based on the factors described above, so the actual starting base pay may be above or below this range. Base pay is also just one component of Verkada’s total rewards package. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of Restricted Stock Units (RSUs).
Annual Pay Range
At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of restricted stock units (RSUs)
Below is the annual on-target earnings (OTE) range for full-time employees for this position, comprised of base compensation and commissions (if applicable).
Verkada Is An Equal Opportunity Employer
As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.
Your application will be handled in accordance with our Candidate Privacy Policy.
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- Source and close net new logos within a given territory in your book of business
- Have the ability to navigate complex organizational structures and identify executive sponsors and champions
- Research and understand the business objectives of your customers and have the ability to perform a value drive sales cycle
- Collaborate with internal partners to move deals forward and ensure customer success
- You will consistently over-deliver ARR revenue targets and drive success through a metric-based approach
- Develop and execute sales strategies and tactics to generate pipeline, drive sales opportunities and deliver repeatable and predictable bookings
- Provide timely and insightful input back to other corporate functions
- Create ROI and business justification reports based on a data driven approach
- Run tight POCs based on business success criteria
- 10+ years of closing experience in Sales with a track record of being a top performer in SaaS sales
- Ability to learn, pitch, and demonstrate a highly technical product, and have the ability to adapt in a fast growing and changing environment
- Have clear examples of closing complex deals and selling into complex organizations
- Effectively use a repeatable method for uncovering greenfield opportunities and building out a new territory
- Previous experience building relationships and selling face-to-face to face to C level executives
- Knowledge of best of breed softwares and a technical understanding of integrations, APIs, infrastructure management, security and analytics
- Experience selling technical SaaS and cloud-based software solutions
- You have previous experience working with multiple teammates, including SEs, BDRs, PMs, Executives & Engineers
- This is a remote position; you will be based in Germany and know the regional market, including its cultural nuances and business practices.
- This role is remote (must be based in Germany)
By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.
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Principal Software Engineer
Company Overview:
We are looking for a Principal Software Engineer to join one of our high-impact engineering squads. In this role, you will serve as a technical leader and be key in designing complex systems, driving architectural decisions, mentoring engineers, and delivering high-quality software across our cloud-native Evolution DMS platform. You will work at the intersection of scale, performance, and user impact, tackling some of the hardest problems in our stack.
This is a full-time position with the opportunity to work in a collaborative, Agile environment where your decisions carry real weight.
What You'll Do
- Lead technical design and architecture for complex, cross-functional features — evaluating trade-offs, defining patterns, and ensuring solutions are scalable, maintainable, and performant across a large enterprise-grade codebase.
- Build and own platform-level frameworks used by other engineering squads — including authentication/authorization systems, API development tooling, webhook infrastructure, messaging pipelines, AI integrations, and CI/CD tooling.
- Drive engineering excellence through code reviews, architectural guidance, and establishing best practices that raise the bar for the entire team.
- Mentor and develop junior and mid-level engineers through pairing, design reviews, and knowledge sharing — fostering a culture of continuous learning (teaching experience a strong plus).
- Own end-to-end delivery of features from design through production — writing clean, efficient, well-documented code in Java, Kotlin, and TypeScript adhering to team standards.
- Lead and execute complex integrations with third-party systems — including payment processors, identity providers, OEM data feeds, and external APIs — ensuring resilience, security, and maintainability.
- Champion performance and reliability — proactively identify and resolve bottlenecks, design for failure, and implement resilience patterns (circuit breakers, caching strategies, backoff/retry) across our service integrations.
- Drive cloud infrastructure decisions on AWS — including serverless architecture (Lambda, API Gateway), container orchestration (EKS), messaging (SNS/SQS, RabbitMQ), and data services (RDS PostgreSQL, ElastiCache/Redis, DynamoDB).
- Manage and evolve CI/CD pipelines — automating build, test, and deployment processes using GitLab CI, Gradle, Terraform, and Serverless Framework to enable rapid, consistent releases across environments.
- Lead incident response and root cause analysis for high-severity production issues, translating findings into actionable architectural improvements.
- Contribute to infrastructure as code using Terraform, supporting reproducible, version-controlled AWS environment provisioning.
- Maintain and improve technical documentation in Confluence, ensuring architectural decisions, patterns, and runbooks are accessible and up to date.
- Evaluate and adopt emerging technologies — including AI/ML tooling — making recommendations that align with long-term platform direction.
What You'll Have
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field with 7+ years of professional software engineering experience; or equivalent experience in lieu of a degree.
- Deep expertise in Java / Kotlin / Groovy and the Jakarta EE ecosystem — including JPA, Wildfly/JBoss, or Spring — with a strong command of object-oriented and functional design principles.
- Strong proficiency in TypeScript and JavaScript — including Node.js and modern backend frameworks such as NestJS — with the ability to contribute across the full stack.
- Demonstrated ability to architect and deliver distributed, cloud-native systems at scale — including microservices, event-driven architectures, and RESTful API design.
- Integrate AI-assisted development tools (such as GitHub Copilot, Claude, or equivalent) into day-to-day engineering workflows — including code generation, automated code review, test authoring, and documentation — to improve individual and team productivity without compromising code quality or security standards.
- Extensive hands-on experience with AWS — specifically Lambda, API Gateway, CloudFront, S3, SNS, SQS, EKS, ElastiCache, and DynamoDB — and a track record of deploying and operating production workloads in cloud environments.
- Advanced proficiency with PostgreSQL and other data stores (Redis/Valkey, MongoDB) — including query optimization, indexing strategies, and schema design.
- Proven experience designing and implementing authentication and authorization systems — including OAuth 2.0, OIDC, and integration with identity providers such as Okta and FusionAuth.
- Proficiency with containerization and orchestration — Docker and Kubernetes/EKS — at a production operations level.
- Demonstrated experience leading or contributing to large-scale migrations — including legacy system rewrites, on-prem to cloud migrations, or major platform re-architectures.
- Solid understanding of messaging and event-driven systems — RabbitMQ, SNS/SQS, and ETCD-backed configuration management.
- Strong verbal and written communication skills with a demonstrated ability to influence technical direction across teams.
Preferred Qualifications
- AWS Certification (Cloud Practitioner, Solutions Architect, or AI Practitioner) strongly preferred.
- Experience on a developer platform or framework team — building shared tooling, libraries, and infrastructure that other engineering squads build on top of.
- Familiarity with AI/ML integration patterns in production software — including LLM APIs, prompt engineering, or agentic workflow tooling.
- Solid experience with infrastructure as code using Terraform and deployment automation using Serverless Framework and GitLab CI.
- Experience with desktop application development and migration from legacy desktop (Swing or equivalent) to modern web/React front ends.
- Experience building and maintaining third-party payment integrations (e.g., WorldPay, Stripe, or equivalent payment processors), with strong understanding of PCI compliance considerations.
- Experience with build tooling — Gradle, Ant, or equivalent — in large multi-module Java projects.
- Familiarity with test-driven development (TDD), Jest, and maintaining high code coverage standards across unit, integration, and regression testing.
- Experience with observability tooling — Datadog, distributed tracing, structured logging, and defining SLOs/SLIs for production services.
- Prior experience in a teaching, mentoring, or adjunct instruction role is a meaningful differentiator and reflects the collaborative culture we value.
- Working knowledge of Linux/Unix systems and scripting (Python or Bash).
- Oracle Certified Java Programmer or equivalent certification a plus.
Inclusion and Diversity at Lightspeed:
At Lightspeed, we celebrate the uniqueness of every individual and encourage diverse perspectives. We believe that inclusion drives innovation and fosters meaningful connections. We are committed to building an environment where everyone feels valued and empowered to make an impact.
Equal Employment Opportunity Statement:
Lightspeed is an Equal Opportunity Employer and is dedicated to building a diverse and inclusive workforce. All qualified applicants will be considered for employment without regard to race, color, creed, ancestry, national origin, gender, sexual orientation, gender identity, gender expression, marital status, religion, age, disability, veteran status, or any other protected category.
Important Note:
Applicants must be authorized to work in the U.S.
Ready to apply?
Take the next step in your career—apply today and join a team where your skills will make an impact!
Ready to apply?
Apply to Lightspeed DMS
Cloud Engineer - Platform Engineering
Company Overview:
We're seeking a Cloud Engineer to join our platform engineering team as an embedded member of development squads. In this role, you'll work directly alongside application developers, enabling their success through self-service infrastructure platforms, GitOps automation, and AI-powered tooling. You'll manage infrastructure supporting 4,000+ EKS workloads in AWS while building the next generation of developer-focused platforms that dramatically increase velocity.
This isn't a traditional infrastructure role. You'll be a strategic partner to developers, guiding cloud architecture decisions, building automation that eliminates toil, and leveraging AI to accelerate both infrastructure and application delivery.
What you'll do:
Platform Development & Developer Enablement
- Build and maintain self-service infrastructure platforms that empower developers to provision and manage their own AWS resources
- Work embedded within development squads as their cloud infrastructure guide and strategic partner
- Design and implement reusable Terraform modules that enable consistent, scalable infrastructure patterns
- Develop AI-powered automation tools that increase team velocity and reduce manual operational overhead
- Create developer-friendly abstractions over complex infrastructure using GitOps workflows
Infrastructure as Code & GitOps
- Implement GitOps practices using ArgoCD and Helm for automated deployments across EKS clusters
- Build and maintain modular Terraform infrastructure supporting EKS, RDS PostgreSQL, Aurora PostgreSQL, and core AWS services
- Leverage AI tools to accelerate Terraform module development, code review, and documentation
- Design Terraform module libraries that balance flexibility with guardrails
- Establish CI/CD pipelines that enable developers to safely deploy infrastructure changes
Cloud Architecture & Collaboration
- Partner with developers to design cloud-native architectures optimized for AWS
- Guide infrastructure decisions within development squads, translating application requirements into scalable AWS solutions
- Collaborate with Cloud Architects and Security teams on infrastructure patterns and best practices
- Implement highly available, scalable, and self-healing systems
Automation & Velocity
- Develop Python and Bash automation that eliminates repetitive operational tasks
- Strategically apply AI tools (code generation, infrastructure optimization) to accelerate delivery
- Build monitoring, logging, and observability solutions that provide developers insight into their infrastructure
- Continuously improve speed, efficiency, and scalability through automation-first thinking
What you should have:
Technical Skills
- 5+ years in Cloud/Platform Engineering/SRE/DevOps roles with production AWS experience
- Strong GitOps mindset with hands-on experience using ArgoCD, FluxCD, or similar tools
- Kubernetes expertise (4+ years) managing EKS clusters in production environments
- PostgreSQL experience with RDS PostgreSQL and Aurora PostgreSQL in production
- Experience using AI coding assistants (GitHub Copilot, Claude, Cursor, or similar) for infrastructure code development
- Advanced Terraform skills including:
Designing and implementing modular, reusable Terraform code
Building Terraform module libraries
Managing complex AWS infrastructure as code
Understanding of Terraform best practices and state management
- Deep AWS knowledge: VPC, IAM, EKS, RDS, Aurora, S3, Security Groups, networking
- Proficient in Helm chart development and management
- Advanced Python scripting for automation and tooling (beyond basic scripts)
- Bash/Shell scripting proficiency
- CI/CD pipeline experience (GitLab CI preferred)
- Linux administration background (4+ years)
Essential Mindset & Approach
- Self-service platform thinking - instinct to build tools that enable others
- Cloud-native design mindset - architecting for AWS from the ground up
- Automation-first approach - proven track record of eliminating toil through tooling
- Systems thinking - understanding how components interact in complex distributed systems
Soft Skills (Critical)
- Exceptional communication with developers - ability to translate technical concepts and collaborate effectively · Embedded squad experience - comfortable working directly within development teams as their infrastructure guide
- Excellent follow-through - strong task completion orientation and reliability
- Collaborative mindset - team-first approach, not siloed thinking
- Strategic guidance ability - can help developers make informed AWS infrastructure decisions
- Experience working in Agile development environments
Preferred Qualifications
- Experience building developer self-service platforms or internal developer platforms (IDP)
- Hands-on experience with AI coding assistants for Terraform/Python development, AI-driven infrastructure analysis, or LLM-based automation workflows
- AWS Well-Architected Framework knowledge
- Experience with observability platforms (Datadog, Prometheus, Grafana)
- Background in platform engineering or SRE disciplines
- Understanding of building and managing large-scale distributed systems
- Experience with messaging technologies (AmazonMQ, RabbitMQ, Kafka)
- Incident management and root cause analysis experience
- Prior experience as an embedded infrastructure engineer within development teams
- What Makes This Role Different
- You'll be a force multiplier for development teams, building platforms and automation that let developers move fast while maintaining reliability and security. Your success is measured by developer velocity, reduced operational toil, and the quality of self-service tools you create.
- Work Requirements
- Hybrid or Remote (Utah preferred, open to other locations)
- Occasional availability during maintenance windows
- On-call rotation support for production infrastructure
We're looking for engineers who are excited about empowering developers, obsessed with automation, and think in terms of platforms. If you love building tools that make others more productive, we want to talk to you.
Inclusion and Diversity at Lightspeed:
At Lightspeed, we celebrate the uniqueness of every individual and encourage diverse perspectives. We believe that inclusion drives innovation and fosters meaningful connections. We are committed to building an environment where everyone feels valued and empowered to make an impact.
Equal Employment Opportunity Statement:
Lightspeed is an Equal Opportunity Employer and is dedicated to building a diverse and inclusive workforce. All qualified applicants will be considered for employment without regard to race, color, creed, ancestry, national origin, gender, sexual orientation, gender identity, gender expression, marital status, religion, age, disability, veteran status, or any other protected category.
Important Note:
Applicants must be authorized to work in the U.S.
Ready to apply?
Take the next step in your career—apply today and join a team where your skills will make an impact!
Ready to apply?
Apply to Lightspeed DMS
Principal Software Engineer
Paperless Parts provides the manufacturing industry with a SaaS platform that empowers the next generation of manufacturers to join the digital age. When manufacturers use our product, they free up valuable time for faster quoting and estimating, leading to increased profitability and reduced manual steps. From life-saving medical devices to critical components that unlock new depths of outer space, our customers produce parts that go into some of the world’s coolest and most impactful products. It is our mission to enable manufacturers with the technology they need to drive innovation forward.
We are a team of motivated and hardworking creators and doers. If you’re looking to have a direct impact on a Series B fast-scaling company that is revolutionizing an essential industry, read on and apply!
This is a full-time hybrid position based in Boston, MA.
This position requires activities that are subject to US Export Control Laws and require US Citizenship or Green Card Holder.
About the Role
Step into the role of Principal Software Engineer and serve as a technical force multiplier for our engineering organization. In this high-leverage position, you will look beyond the immediate roadmap to define the architectural vision that will support Paperless Parts for years to come. You will bridge the gap between business strategy and technical execution, ensuring our systems are robust, scalable, and AI-ready.
This role is a powerful catalyst for change and innovation. You will be responsible for modernizing our engineering practices—integrating AI agents into the development lifecycle, driving the evolution from monolithic to a service architecture, and mentoring our engineers to become the next generation of leaders.
Who You Are
- Technical Visionary & Pragmatist: You have a proven track record of evolving complex architectures in scale-up environments. You balance the pursuit of "technical purity" with business reality, making hard trade-offs with incomplete information.
- Force Multiplier: You don't just write great code; you make the entire team better. You are passionate about mentorship and teaching others effective patterns for design, review, and agentic coding.
- AI Pioneer: You think strategically about how AI agents and workflows can fundamentally change how we build software. You believe that "what is good for humans is good for AI," championing standards that serve both.
- Business Partner: You understand that technical debt is a business risk. You can translate complex infrastructure needs into tangible business value (ROI, reliability, speed) to help leadership prioritize effectively.
Why You'll Love Working Here
- Architectural Authority: You will lead the design of our most critical systems, making high-stakes decisions on migrating to distributed architectures and defining our data strategy.
- Optimizing the AI-Native Workflow: You will have the freedom to operationalize AI at scale—implementing agents for ticket resolution, automated reviews, and documentation—driving significant improvements in modern engineering efficiency.
- High-Impact Work: Our software is used in mission-critical industries like aerospace and defense. The reliability and performance standards you set directly impact the production of life-saving and critical components.
- Culture of Excellence: You will help establish a culture of deep observability and operational maturity, leading the charge on incident management and blameless postmortems.
What You'll Do
- Architect & Evolve: Lead the technical strategy for migrating legacy monolithic patterns to scalable, service architectures. You will define the long-term vision for our backend systems, APIs, and cloud infrastructure.
- Operationalize AI Development: Drive the adoption and continuous improvement of AI-assisted workflows (using tools like Cursor and Claude Code). You will champion the strategic integration of AI agents to enhance autonomous task execution and leverage AI throughout the software life cycle.
- Drive Operational Maturity: Instill a strong focus on reliability and site operations across the team. You will lead initiatives to improve observability (logging, monitoring), define clear runbooks, and facilitate postmortems that turn incidents into structural improvements.
- Elevate Engineering Standards: Enforce "context-first" engineering. You will champion the creation of Architectural Decision Records (ADRs) and high-quality documentation, ensuring our codebase provides the explicit context needed for both human alignment and effective AI agent performance.
- Mentor & Lead: Act as a technical beacon, dedicating significant time (~20%) to pairing, design reviews, and mentoring engineers across different levels to elevate the team's collective skill set.
- Strategic Alignment: Collaborate with R&D leadership to prioritize technical initiatives. You will articulate the ROI of infrastructure investments and technical debt reduction in terms of customer reliability and business agility.
What You'll Bring
- 12+ years of experience in software engineering, with a strong background in architecting SaaS products at scale (start-up to scale-up transition experience preferred).
- Deep Architectural Expertise: Proven success decomposing monoliths and designing distributed systems, with strong judgment on build-vs-buy decisions and technology selection.
- Modern Stack Proficiency: Expert-level knowledge of modern web frameworks and databases, along with deep experience in AWS cloud-native patterns (containers, serverless).
- AI/LLM Fluency: Practical experience leveraging LLMs and AI agents in a production engineering workflow. You understand prompt engineering, context limits, and how to structure codebases for AI interpretability.
- Operational Rigor: A strong commitment to production reliability, with experience designing systems for observability and leading incident response processes.
- Communication Mastery: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and influence decisions without relying on authority.
Why Join Us?
- Impactful Work: Your contributions will power industries critical to our society and economy, making a real difference.
- Continuous Learning: We invest in our people and offer opportunities to learn, grow, and advance their careers.
- Supportive Culture: Our team is our greatest asset, and we foster an environment where everyone can thrive.
If you’re a forward-thinking engineer eager to make a significant impact while working with a talented, driven team, we’d love to hear from you!
Salary range: $212,000 - $286,000
Paperless Parts Life
Culture: At Paperless Parts, we value intentionality, persistence and relationships. We live and breathe these values every day. As a fast-growing company, we’re continually improving what we’ve built while still building from the ground up.
Boston Office: Our office is full of energy; people regularly collaborate to solve complex problems. We recognize that people work well in different environments and have intentionally designed our office to provide collaborative spaces and quiet focus areas. Our height-adjustable desks are set up with additional monitors, and employees are provided with the latest Apple technology to support productivity.
Our headquarters is located in downtown Boston, MA and easily accessible to most transit routes (Red/Blue/Orange/Green Line/South Station/North Station).
Encinitas Office: Our California office is our newest office which seats our West Coast sales team. The office has an open floor plan with several conference rooms to encourage collaboration with your colleagues in California and TV's to connect with those sitting in Boston or remotely. The office is walking distance from Downtown Encinitas, the Coaster train stop, and tons of activities on the 101.
Benefits: We value you and your family. With this in mind, full-time employees are provided:
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100% coverage of health, dental, and vision for you and your dependent
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Competitive compensation philosophy
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Unlimited PTO
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13+ paid holidays
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Company-sponsored wellness stipend
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Pre-tax Commuter and FSA/Dependent Care FSA
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401(k) plan
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Employee recognition program
Responsible for adherence to all security and privacy requirements, rules and regulations and implement as required.
Paperless Parts is committed to cultivating an equitable, inclusive, and supportive environment for all employees. We believe this environment creates a safe space for employees to share their experiences, brainstorm ideas, and grow their careers. Paperless Parts is an Equal Opportunity & Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Ready to apply?
Apply to Paperless Parts
Senior Principal Machine Learning Engineer
Key Responsibilities:
- Lead the technical strategy and execution for SoundCloud’s ML systems (e.g., recommendation, ranking, personalization), including model development, deployment, and scaling
- Lead the exploration of advanced modeling techniques including Deep Neural Networks, LLMs, large recommender systems, multi-modal embeddings and transformer-based architectures to create unique and impactful listening experiences
- Define and drive the overall technical direction for ML in SoundCloud including model architecture, feature engineering, training and serving infrastructure at scale, feature stores, pipeline orchestration, and model registry and versioning all aimed at accelerating our ability to bring ML-powered features to market
- Own short- and long-term objectives, ensuring ML investments deliver measurable user and business impact
- Lead, mentor, and grow ML Engineers and Scientists across SoundCloud
- Be a strategic partner to the CTO in bringing an “ML Everywhere” strategy to all surfaces in the product (both Creator and Fan), and helping to lead the charge on AI-native engineering
- Stay current with industry trends and advancements in machine learning, identifying opportunities to apply them at SoundCloud
- Lead the leveraging of agentic workflows and AI-assisted engineering as a force multiplier to work at 10x the speed of traditional methods
Experience and Background:
- 10+ years of experience in ML engineering, plus 3+ years in search or recommendations in an internet scale service with the reach of tens of millions of daily active users. Experience in a music streaming environment is a bonus
- Proven track record of defining technical strategy and driving execution for large-scale ML systems, particularly in recommendation, personalization, or search
- Experience setting technical roadmaps, influencing cross-functional priorities, and balancing business, product, and engineering trade-offs at an organizational level
- Experience leading and scaling teams of ML Engineers and Scientists, including hiring, mentoring, and developing high-performing talent
- Deep expertise in delivering data-driven products and ML solutions at scale on cloud-based platforms, with strong understanding of infrastructure and lifecycle management
- Hands-on familiarity with modern ML frameworks (PyTorch, TensorFlow) and data processing pipelines, combined with strong software engineering foundations
- Thought leadership in ML and data science, with a track record of driving technical innovation and applying emerging industry trends
- Exceptional communication, strategic influence, and cross-functional leadership skills across senior stakeholders and global teams
The salary range for this role is $280,000 - $325,000 annually. The final salary offered will be determined based on relative experience, skills, internal equity, and location. We also offer a generous total rewards program - read more about additional benefits and perks below!
About us:
- We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)
- We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home
- We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone’s voice, perspective and experience is respected and heard
- We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities
Benefits:
- Comprehensive health benefits including medical, dental, and vision plans, as well as mental health resources
- Robust 401k program
- Employee Equity Plan
- Generous professional development allowance
- Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit!
- Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
- 16 paid weeks for all parents (birthing and non-birthing), regardless of gender, to welcome newborns, adopted and foster children
- Various snacks, goodies, and 2 free lunches weekly when at the office
Diversity, Equity and Inclusion at SoundCloud
SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what’s next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status.
At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.
Ready to apply?
Apply to SoundCloud
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
Key Responsibilities
- Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, collaboration, and excellence.
- Define and execute the roadmap for AI/ML projects, ensuring alignment with business objectives and product strategy.
- Architect and oversee the development of scalable, robust, and production-grade AI systems on cloud platforms (AWS, Azure, GCP).
- Drive best practices for the full machine learning lifecycle, including MLOps, CI/CD for ML, model monitoring, and governance.
- Collaborate closely with product managers, data scientists, and other engineering leaders to translate business requirements into technical solutions.
- Stay at the forefront of advancements in AI/ML, including Large Language Models (LLMs) and agentic AI, to identify and implement new opportunities.
- Manage project timelines, resources, and stakeholder communication to ensure the timely delivery of high-quality AI solutions.
Required Qualifications
- Strong understanding or experience leading AI/ML teams in a SaaS or enterprise software environment.
- Deep expertise in time series forecasting and machine learning.
- Experience architecting and deploying scalable, production-grade AI systems on cloud platforms (AWS, Azure, GCP).
- Solid understanding of MLOps, CI/CD for ML, and cloud-native architectures.
- Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
- Experience with agentic frameworks and autonomous agent architectures.
- Proficiency in Python and modern software development practices (testing, code review, CI/CD).
- Proven track record of delivering complex technical projects on time with high quality.
- Excellent communication, collaboration, and stakeholder management skills.
- Track record of delivering impactful AI solutions in a fast-paced, agile environment.
Preferred Qualifications
- Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
- Experience with large-scale data processing frameworks like Spark.
- Familiarity with the challenges of applying AI in enterprise planning or financial domains.
- A portfolio of published research or contributions to open-source AI projects.
What Makes This Role Exciting
You will be a key leader in Anaplan’s AI journey, with the autonomy to shape our technical direction and build a world-class engineering team. This is a unique opportunity to solve complex, real-world problems and deliver intelligent solutions that empower major global enterprises to make more informed decisions. You will work with a passionate team on the cutting edge of AI, making a tangible impact on our product and the industry.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanOPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
The Position
OPSWAT is now searching for a Software Engineering Intern to join our MDaaS product. MDaaS is a real-time malware scanning platform handling 30M+ requests/day, built on a Node.js/TypeScript microservices architecture with event streaming (Kafka, RabbitMQ) and React frontend.
As an Intern, you'll work directly with senior engineers — shipping real features, fixing real bugs, and learning how a production-grade cybersecurity platform is built and operated.
What You Will Be Doing
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Implement small features and bug fixes across backend services (Node.js/TypeScript) under guidance from senior engineers
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Write unit and integration tests to improve coverage on existing modules
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Participate in code reviews — both receiving feedback and reviewing peers
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Debug issues in local and staging environments using logs and tracing tools
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Read and understand event-driven flows (Kafka consumers, RabbitMQ handlers) to contribute to ingestion and processing pipelines
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Update and maintain internal documentation, API specs, and runbooks
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Join sprint planning, daily standups, and retrospectives as an active team member
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Experiment with frontend components in the internal tooling dashboard (React + TypeScript)
What You'll Learn
By the end of your time on MDaaS, you'll have hands-on exposure to:
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Production TypeScript microservices — structure, patterns, and testing
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Event-driven architecture with Kafka and RabbitMQ
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Docker and basic Kubernetes concepts (deployment, logs, exec)
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Code review culture and engineering standards in a global product company
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How a cybersecurity SaaS platform processes millions of file scan requests
What We Need From You
Education & Background
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Pursuing or completed a degree in Computer Science, Software Engineering, or equivalent
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Able to commit at least 4 months (internship) or full-time (associate)
Soft Skills
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Curious and proactive — asks questions, doesn't wait to be unblocked
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Communicates clearly in English (written); able to describe problems and solutions concisely
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Receptive to feedback and willing to iterate quickly
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Comfortable working in a team across different timezones
Technical Fundamentals
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Solid understanding of programming fundamentals: data structures, algorithms, OOP
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Hands-on experience with JavaScript or TypeScript — coursework or personal projects count
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Familiar with Git: branching, pull requests, resolving conflicts
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Basic understanding of REST APIs: HTTP methods, status codes, request/response structure
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Able to read and understand existing code in an unfamiliar codebase
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Actively uses AI coding tools (GitHub Copilot, Cursor, Claude, ChatGPT) as part of daily workflow — knows how to prompt effectively, verify output, and not blindly trust generated code
Dev Environment
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Comfortable working in a Linux/macOS terminal
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Knows how to run a project locally with Docker Compose
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Can use a debugger or structured logging to trace a bug
If Would Be Nice If You Had
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Prior internship or project experience with a Node.js or TypeScript backend
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Familiar with any testing framework (Jest, Vitest, Mocha)
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Basic React knowledge — able to build or modify a UI component
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Exposure to message queues (Kafka, RabbitMQ, Redis) — even conceptually
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Knows what a microservice is and why services communicate over events
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Experience with any cloud provider (AWS, GCP, Azure) — even free tier
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Interest in cybersecurity — malware analysis, threat intelligence, or security tooling
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Has read about or experimented with CI/CD pipelines
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Experience building features or scripts with AI assistance end-to-end — from prompt design to testing the result
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Understands limitations of LLM-generated code: hallucinations, outdated APIs, security blind spots
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Has experimented with AI APIs (OpenAI, Anthropic, Gemini) in side projects
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Familiar with concepts like RAG, embeddings, or function calling — even at a basic level
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
Ready to apply?
Apply to OPSWAT
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
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Product Manager, Patient Support
About Hone
Hone is an online medical clinic at the forefront of transforming healthcare and enhancing longevity. We use cutting-edge scientific advancements to empower men and women to take control of their health and unlock their full potential. Our people are the heart of everything we do and drive our success. We approach every project through our brand values:
- Fight for the Customer
- Execute Ruthlessly
- Communicate Candidly, Clearly, and Kindly
- Collaborate Selflessly
- Practice Calculated Risk-Taking
- Maximize Joy and Gratitude
Hone has been fully virtual from day one and will continue to be a remote-first employer.
Our Ideal Candidate
Our ideal candidate is a mission-driven, motivated multi-tasker who is invested in work that is fulfilling and impactful. They embrace change and tackle challenges with enthusiasm. They have an “all-in” disposition towards work, understanding that we are a fast-paced, high-growth organization with evolving priorities. They can excel at both independent tasks and collaborative work, leading with clear and candid communication. They exhibit humble leadership—the ability to drive initiatives forward while remaining excited about continuous learning and development opportunities. They feel strongly about being part of a team that advocates for people to live longer and better lives.
About The Role
As Product Manager, Patient Support, you will build the internal tools and systems that enable Hone’s Customer Support team to deliver fast, effective and empathetic support at scale. You will report directly to the Head of Product Management and partner with our engineering, design and operations teams to enable a best-in-class patient experience.
What You’ll Do
- Own the roadmap for Patient Support, spanning Zendesk AI protocols, customer support tooling, task management, and workflow automation
- Define and track support KPIs (e.g., CSAT, first reply time, average handle time, % tickets deflected)
- Partner with leadership to identify operational blind spots and prioritize opportunities for workflow improvement and automation
- Collaborate with design, engineering, and operations to define, design, and launch tooling that reduces friction for customer support agents and patients
- Partner with our analytics and AI teams to design, test, and refine AI protocols and prompts that improve ticket deflection and patient satisfaction
- Measure the success of launched features and develop data-driven solutions for improvement
About You
- 3+ years of product management experience in a fast-paced, high-growth environment
- Strong understanding of customer support tooling and operations
- Proven success in optimizing support workflows in a platform like Zendesk
- Experience shipping AI or automation features (e.g., workflow automation, LLM-powered agents, intent classification) is a plus
- Analytical mindset with demonstrated ability to use data to drive product decisions and measure success
- Self-starter who proactively identifies opportunities to improve the product and user experience
- Experience managing complex cross-functional projects involving engineering, design, and operational teams
- Excellent communication and leadership skills
Compensation Range
$130,000 - $160,000 based on location and experience
Benefits*
Hone wants our team to be in the best condition of their lives, so we offer a range of benefits including:
- A remote-first work environment
- Competitive compensation and equity options
- Health, dental, and vision insurance coverage
- Short-term disability and basic life coverage
- Flexible Spending Accounts (FSAs)
- Lifestyle Spending Accounts (LSAs)
- We follow federal holidays and have uncapped time off for exempt employees
- Budget for the technology tools you need (laptop, monitor, and/or special software)
- A focus on company-sponsored activities to foster engagement (both virtual and in-person)
- Waived membership fees for any Hone team members utilizing Hone products
*These benefits are available to full-time, regular employees, and not to independent contractors, part-time employees, temporary employees, or interns.
We are proud to be an equal-opportunity workplace committed to building a team culture that celebrates diversity and inclusion. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions. Please contact us to request accommodation.
Ready to apply?
Apply to Hone Health
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
What's the Role All About?
The Tech Manager is a senior technical leadership role responsible for driving the design, delivery, and quality of AI-driven and Conversational AI solutions across the NICE CXone ecosystem. With 15+ years of experience, you will lead and mentor a high-performing engineering team, bring deep expertise in AI models, AWS Knowledge Hub, and AWS Cloud, and serve as a key technical authority across cross-functional delivery teams. This role blends hands-on technical depth with strong people management, ensuring both engineering excellence and team growth.
How Will You Make an Impact?
Technical Leadership:
- Define and govern technical standards and best practices for AI and Conversational AI solution delivery.
- Provide hands-on guidance on the design and implementation of integrations using APIs, modern web technologies, and authentication standards.
- Lead the development of proofs of concept (PoCs) and production-ready solution components leveraging AWS Cloud, AWS Knowledge Hub, and AI/ML models.
- Drive prompt engineering, conversational design, and AI orchestration best practices across the team.
- Oversee testing, validation, and go-live activities to ensure solutions meet quality, performance, security, and usability standards.
People Management & Team Development:
- Lead, mentor, and develop a team of engineers — conducting performance reviews, supporting career growth, and fostering a culture of continuous learning.
- Define and uphold engineering standards, coding guidelines, and delivery frameworks across the team.
- Identify skill gaps and build team capability in emerging areas such as Generative AI, AWS services, and enterprise conversational platforms.
- Drive a collaborative, inclusive, and high-accountability team culture.
Technical Problem Solving & Quality:
- Diagnose and resolve complex technical challenges across SaaS applications, cloud environments, AI integrations, and data flows.
- Ensure all implementations meet enterprise-grade standards for quality, scalability, security, and performance.
- Produce and review key documentation including architecture specifications, test strategies, and deployment materials.
Delivery & Process Excellence:
- Drive Agile/Scrum delivery practices including sprint planning, retrospectives, and release management.
- Define and continuously improve engineering processes, documentation standards, and delivery frameworks.
- Align technical roadmap planning with business priorities and stakeholder expectations.
- Manage escalations effectively and maintain strong cross-functional collaboration with Implementation Engineers, Consultants, Project Managers, and Customer Success teams.
Collaboration & Stakeholder Engagement:
- Partner with senior stakeholders, customers, and cross-functional teams to translate business requirements into technical solutions.
- Participate in customer workshops, design reviews, and technical discussions — communicating architecture decisions and implementation strategies with clarity and confidence.
- Maintain transparent and consistent communication across all delivery teams.
Have You Got What It Takes?
Experience & Education:
- Bachelor's degree in Computer Science, Information Systems, Electrical Engineering, or equivalent work experience.
- 15+ years of professional experience in software engineering or technical delivery roles, with a focus on AI, digital channels, or bot/conversational applications preferred.
- 5+ years in a technical leadership or people management role (Engineering Manager, Tech Lead, or similar).
Technical & Architecture Skills:
- 7+ years of hands-on software development experience, with at least 2–3 years in a tech lead or architect capacity.
- Strong proficiency in modern programming languages such as Java, Python, C#, or JavaScript/TypeScript.
- Deep knowledge of AWS Cloud services and AWS Knowledge Hub; familiarity with Azure or GCP is a plus.
- Proven experience working with AI/ML models, Generative AI frameworks, and enterprise AI orchestration patterns.
- Strong expertise in:
- Web APIs, SOAP, and REST implementations
- Modern authentication standards (OAuth2, OIDC, SAML)
- Browser and web security (CORS, X-Frame Options)
- HTML/CSS and front-end fundamentals
- Prompt engineering and AI integration patterns
- Solid understanding of CI/CD pipelines, DevOps practices, and software architecture principles.
- Proficiency in databases (SQL/NoSQL) and data integration patterns.
- Strong understanding of conversational UX, AI-driven interfaces, and enterprise AI platforms.
Leadership & People Management:
- Demonstrated experience managing and growing engineering teams, including performance management and career development planning.
- Ability to define technical vision, establish engineering standards, and align team deliverables with organisational goals.
- Strong stakeholder management skills, including handling escalations and influencing at senior levels.
- Experience driving technical roadmap planning across multi-disciplinary teams.
Communication & Collaboration:
- Clear, confident written and verbal communication skills.
- Comfortable engaging with customers and senior stakeholders to articulate technical decisions, solution architecture, and delivery strategy.
- Effective leader in design reviews, sprint planning, technical discussions, and delivery execution.
Delivery & Process:
- Experience defining and improving engineering processes, documentation standards, and delivery governance.
- Strong track record of authoring and reviewing design documents, functional requirements, test strategies, and deployment guides.
- Experienced in Agile/Scrum environments with a focus on predictable, high-quality delivery.
- Willingness to work in US shift hours (5 PM – 2 AM IST).
You Will Have an Advantage If You Also Have:
- Hands-on experience with NICE CXone products or other cloud-based contact centre platforms.
- Experience with enterprise conversational AI platforms such as NICE CXone, Kore.ai, Amelia, Dialogflow, or similar.
- Exposure to Generative AI tools, LLM fine-tuning, or RAG-based architectures.
What's in It for You?
Join an ever-growing, market-disrupting, global company where the teams — comprised of the best of the best — work in a fast-paced, collaborative, and creative environment. As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!
Enjoy NiCE-FLEX! At NICE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility — 2 days working from the office and 3 days of remote work each week. Office days focus on face-to-face collaboration, where teamwork and creative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.
Requisition ID: 10786
Reporting Into: Director , Engineering
Role Type: People Management
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
Ready to apply?
Apply to NICE
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
So, What's the Role All About?
We are looking for a Specialist Software Architect to lead the architectural vision, design, and evolution of our AI-driven and Conversational Solutions platform. This role demands deep hands-on expertise in Python, AWS Cloud services, AWS Knowledge Hub, and multiple Knowledge Base technologies, along with proven experience designing simplified, scalable, and resilient architectures using microservices and AWS-native services.
You will play a critical role in shaping the technical foundation of our Conversational AI platform — one that handles millions of interactions per day, meets strict SLAs (99.99%), and supports zero-downtime deployments, robust disaster recovery, and enterprise-grade AI orchestration. You will be the go-to architect for proposing pragmatic, simplified designs that balance innovation with operational excellence.
How Will You Make an Impact?
Architecture & System Design:
- Own and define the end-to-end architecture of the Conversational AI and Knowledge platform, covering AI model integration layers, data stores, knowledge bases, and external integrations.
- Design enterprise-scale, cloud-native, microservices-based architectures capable of handling high concurrency, burst traffic, and real-time conversational workloads.
- Propose simplified, cost-effective architectural designs leveraging AWS-native services — avoiding over-engineering while ensuring scalability and resilience.
- Define reference architectures, architectural blueprints, and non-functional requirements (NFRs) for performance, reliability, security, and maintainability.
- Drive event-driven and asynchronous architectures using AWS-native services such as SQS, SNS, EventBridge, and Step Functions.
- Define best practices for microservices design, domain-driven design (DDD), API design (REST, async/event APIs), and AI integration patterns.
- Review and guide complex application-level designs, critical code paths, and AI pipeline architectures.
AI & Conversational Solution Architecture:
- Architect and evolve AI-driven Conversational solutions integrating large language models (LLMs), prompt engineering patterns, and enterprise AI orchestration frameworks.
- Design and implement Knowledge Base solutions using AWS Knowledge Hub, vector databases, RAG (Retrieval-Augmented Generation) architectures, and other knowledge management technologies.
- Define AI model integration strategies — including model selection, fine-tuning approaches, embedding pipelines, and response quality frameworks.
- Drive conversational UX architecture, ensuring seamless, context-aware, and low-latency interaction flows.
- Evaluate and recommend AI tooling, platforms, and frameworks aligned with business needs (e.g., AWS Bedrock, LangChain, OpenAI, Anthropic, Kore.ai, Dialogflow).
- Lead the design of multi-turn conversation management, intent resolution, and fallback handling architectures.
AWS Cloud & Microservices Architecture:
- Architect and optimise solutions using AWS services including but not limited to Lambda, API Gateway, SQS, SNS, Step Functions, DynamoDB, Aurora Serverless, S3, Bedrock, and Kendra.
- Design cost-efficient, elastic scaling strategies aligned with unpredictable conversational AI workloads.
- Lead cloud governance, environment isolation, multi-account strategy, and infrastructure-as-code (IaC) practices.
- Define CI/CD pipeline standards, DevOps practices, and containerisation approaches (Docker, Kubernetes) for AI workload deployments.
- Drive microservices decomposition strategies — identifying service boundaries, inter-service communication patterns, and data ownership models.
Scalability, Resilience & Disaster Recovery:
- Design for extreme scale — high concurrent users, high TPS, and real-time AI inferencing demands.
- Own resilience strategies including multi-AZ and multi-region architectures, active-active or active-passive DR setups, and graceful degradation mechanisms.
- Define and validate RPO/RTO goals, conduct chaos testing, and lead DR drills.
- Ensure zero-downtime deployment capabilities through blue/green, canary, and rolling deployment strategies.
Security, Compliance & Reliability:
- Embed security by design across all AI and data architecture layers — covering authentication, authorisation, data privacy, encryption, and model safety guardrails.
- Support compliance requirements (SOC2, ISO, GDPR) from an architectural standpoint, particularly around AI data handling and knowledge base access controls.
- Partner with SRE and DevOps teams on observability, logging, distributed tracing, and alerting for AI workloads.
- Define SLIs, SLOs, and capacity planning models for conversational AI services.
Technical Leadership & Collaboration:
- Act as a technical mentor and trusted advisor to senior engineers, tech leads, and implementation teams.
- Lead architecture reviews, design councils, and technical decision forums — championing simplicity, pragmatism, and long-term maintainability.
- Partner closely with Product Management, AI/ML teams, and delivery teams to balance innovation with execution feasibility.
- Drive the long-term AI architecture roadmap and proactively reduce technical debt.
Have You Got What It Takes?
Experience & Education:
- Bachelor's degree in Computer Science, Information Systems, Electrical Engineering, or equivalent work experience.
- 10+ years of professional software engineering experience, with at least 4–5 years in a software architect or principal engineer role.
- Demonstrated experience designing and delivering AI-driven or Conversational AI platforms at enterprise scale.
Technical Expertise:
- Deep hands-on experience with Python — including AI/ML libraries, API development, and automation scripting.
- Strong expertise in AWS Cloud services — particularly those relevant to AI workloads: Bedrock, Kendra, Lambda, API Gateway, SQS, SNS, Step Functions, DynamoDB, S3, and Aurora Serverless.
- Hands-on experience with AWS Knowledge Hub and multiple Knowledge Base technologies including vector databases, document stores, and semantic search platforms.
- Proven experience designing microservices architectures — including service decomposition, inter-service communication (REST, gRPC, event-driven), and distributed data management.
- Strong understanding of:
- RAG (Retrieval-Augmented Generation) architectures and embedding pipelines
- Prompt engineering and LLM integration patterns
- Modern authentication standards (OAuth2, OIDC, SAML)
- Web APIs — REST and async/event API design
- Databases (SQL/NoSQL) and data integration patterns
- Experience with CI/CD pipelines, DevOps practices, and containerisation (Docker, Kubernetes).
- Familiarity with AI tooling and platforms such as AWS Bedrock, LangChain, OpenAI, Anthropic, Dialogflow, or Kore.ai.
- Experience with GenAI and Agentic AI application development.
Architecture & Scale:
- Demonstrated success designing systems for high traffic, low latency, and high availability at global scale.
- Deep experience with resilience, disaster recovery, and failover design in cloud-native environments.
- Strong track record of proposing simplified, pragmatic architectural solutions that avoid unnecessary complexity.
- Experience with event-driven systems, message queues, and streaming architectures.
- Strong understanding of cloud networking, caching strategies, and data modelling for AI workloads.
Good to Have:
- Experience with CCaaS or real-time communication platforms (e.g., NICE CXone).
- Exposure to multi-region SaaS deployments and hybrid serverless/container architectures.
- Familiarity with OpenSearch or Elasticsearch for conversational data search and analytics.
- Experience with cost optimisation strategies at scale on AWS.
- Knowledge of frontend technologies (JavaScript/TypeScript, React) for full-stack architecture awareness.
What's in It for You?
Join an ever-growing, market-disrupting, global company where the teams — comprised of the best of the best — work in a fast-paced, collaborative, and creative environment. As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!
Enjoy NiCE-FLEX! At NICE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility — 2 days working from the office and 3 days of remote work each week. Office days focus on face-to-face collaboration where teamwork and creative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.
Requisition ID: 10787
Reporting Into: Director , Engineering
Role Type: Individual Contributor
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
Ready to apply?
Apply to NICE
At Podium, we bring AI Employees to local businesses that turn every conversation into revenue. Trusted by 60,000+ businesses across Auto, Home Services, and Aesthetics, Podium captures and converts leads 24/7, driving both new business and repeat customers.
In under 24 months, we crossed $100M in AI Agent ARR, scaling 300% year-over-year. During this time, we’ve deployed 10,000 AI employees to empower real business outcomes for our customers. Podium is building what we believe will be the most impactful AI employee ecosystem for local business.
Podium has been recognized as the Best AI Implementation by Inc. Magazine, highlighted by OpenAI for building revenue-driving AI Agents, and awarded the #1 AI Agent for Business Operations by G2.
Our growth is fueled by hiring exceptional people, holding them to high standards, and creating opportunities for them to grow and make an impact. Our operating principles guide daily behavior and ensure we hire people who will thrive at Podium. If you're hungry for growth, aligned to our operating principles, and ready to get to work, you won't find a better place to learn and accelerate your career.
The Role
Podium is looking for a talented AI Engineer where your primary mandate is twofold: rebuild and modernise our lead funnel using AI-first architecture, and design and deploy a suite of internal AI agents that eliminate repetitive, manual work for our AEs and SDRs — giving them more time to sell.
If you thrive in fast-paced, highly iterative environments, enjoy solving complex distributed systems challenges, and want to see your work drive immediate business impact, this role is for you!
What you will be doing
- Build and scale the AI Agent platform — enabling high-volume, real-time conversational workflows that deliver accuracy and low latency at scale.
- Design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions.
- Own the full lifecycle: architecture, implementation, deployment, and ongoing reliability.
- Prototype rapidly, iterate with live interaction data, and continuously improve system performance and user experience.
- Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency.
- Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features that power critical business outcomes.
What you should have
- 5-8+ years of professional software engineering experience with at least one modern language such as Go, Python, or Elixir.
- 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
- Proven success designing and maintaining distributed or high-throughput systems.
- Strong problem-solving ability and comfort navigating ambiguity in large-scale systems.
- Excellent communication skills and the ability to work effectively across teams.
- A willingness to work across the entire stack—from infrastructure to APIs to user-facing components—wherever the problem needs solving.
- Ability to thrive in a fast-paced environment with shifting priorities.
What we hope you have
- 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
- Practical experience designing and implementing evaluations for LLM behavior — including accuracy, safety, reliability, and cost monitoring.
- Strong understanding of prompt design, context engineering, and guardrail strategies for dependable, interpretable agent behavior.
- Experience with modern agent frameworks such as LangGraph, CrewAI, or AutoGen, including multi-step reasoning, memory, and orchestration patterns.
- Hands-on experience with fine-tuning and data curation for improving model performance.
Why you’ll love working here:
- Podium is the best place to work to:
- Join the leaders in AI agents
- Unlock career-defining growth
- Build with world-class talent
- Make a real impact on local business
Benefits:
- Open and transparent culture
- Health and Wellbeing Benefits
- 4 weeks of annual leave
- Melbourne CBD Office - Located on the corner of Queen & Collins St
- Snacks cupboard always stocked up
- Catered lunch the last week of every month
Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.
Ready to apply?
Apply to Podium
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
We are seeking an AI delivery‑driven leader to guide complex, customer‑facing projects from initiation through closure. In this role, you will provide strategic directions across end‑to‑end delivery, act as the primary client partner, and ensure clear, consistent communication up to the leadership level. You will work closely with technical, product, and AI/GenAI stakeholders to drive roadmap alignment, support go‑to‑market readiness, and proactively manage risks, dependencies, and escalations.
Role Description:
- Manage high‑visibility software and AI/GenAI projects, ensuring alignment with scope, timelines, and customer expectations.
- Manage project plans, schedules, RAID logs, and core project documentation.
- Provide consistent communication with executive leadership.
- Drive ownership, accountability, and escalation management.
- Guide teams through the full project lifecycle.
- Mentor project managers and support PMO best‑practice maturity.
- Navigate shifting priorities and adjust delivery approaches as needed.
AI Project Delivery Experience (Required)
- Led end‑to‑end delivery of conversational AI, LLM, and NLU solutions across scoping, execution, UAT, and deployment.
- Assessed AI use cases and evaluated data readiness, including ingestion, quality, labeling, and dependency tracking.
- Collaborated with engineering, product, R&D, and presales teams to validate model accuracy, output quality, and overall performance.
- Set and managed customer expectations while coordinating cross‑functional delivery across technical and business teams.
- Identified and mitigated AI‑specific risks such as model drift, hallucinations, data issues, and expectation misalignment.
- Applied hands‑on prompt engineering with a clear understanding of prompting limitations and optimization strategies.
- Leveraged AI tools in daily workflows for automation, data analysis, content generation, and quality validation.
- Defined and monitored AI performance KPIs, translating metrics (e.g., accuracy, containment, hallucination rate, latency, cost per inference) into actionable insights.
- Managed AI cost drivers, e.g. token usage, model selection, prompt structure, and architecture optimization for efficiency and performance.
- Ensured compliance with AI safety, governance, and security standards, implementing guardrails, redaction practices, and structured evaluation frameworks.
PM Experience:
- 8+ years of project management experience leading complex, customer‑facing software delivery projects.
- Proven success managing full end to end delivery using Agile, Waterfall, and hybrid methodologies.
- Experience delivering technical, SaaS, and AI/GenAI projects.
- Strong analytical skills with a track record of managing risks, revenue, and escalations.
- Excellent communication & expectation management
- Advanced proficiency in project management and reporting tools (e.g., MS Project, Salesforce, Rocketlane, & Power BI).
- PMP certification required.
What’s in it for you?
- Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!
This job description is not intended to be all-inclusive, and employees will also perform other reasonable related business duties as assigned by immediate supervisor and other management as required.
This organization reserves the right to revise or change job duties as the need arises. This job description does not constitute a written or implied contract of employment.
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
Ready to apply?
Apply to NICE
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
The Relevance & Personalization (R&P) team is Airbnb's matching intelligence engine — a talented team of ML engineers, applied researchers, and technical program managers who connect guests to the right listings across every surface and help hosts compete and thrive in our marketplace. We work at the intersection of search ranking, recommendations, personalization, and generative AI, and we're building toward a future where Airbnb feels less like a search engine and more like a knowledgeable travel companion that understands your needs across your entire trip journey.
The Difference You Will Make:
As Product Manager for Relevance & Personalization, you will help set the strategy and drive execution for some of Airbnb's highest-leverage AI systems. You'll own the roadmap and shape how personalization works across the guest journey, and help define how we close the feedback loop for hosts. You'll partner with engineers, researchers, designers, and cross-functional teams to ship systems that directly drive bookings, guest satisfaction, and host success — at global scale.
A Typical Day:
- Define and drive the roadmap for Airbnb's relevance and personalization platform — from natural language query understanding to multi-turn, context-aware discovery experiences
- Make prioritization calls that balance multiple competing objectives: guest experience, host success, revenue, fairness, and marketplace health
- Partner with ML engineers and applied researchers to shape model strategy, evaluation frameworks, and experimentation design
- Align cross-functional partners — Guest, Host, MarTech, Trust & Safety, Customer Support — on shared goals and sequencing
- Drive the Tripcycle vision: ensuring R&P's intelligence layer connects across the full trip lifecycle, from inspiration through post-trip
- Design and oversee A/B experiments with rigorous metric design and long-term effect measurement
- Translate complex technical tradeoffs into clear decisions for engineering teams and concise narratives for leadership
- Foster an environment where engineers and product managers collaborate on building the future
- Stay close to guests and hosts: synthesize user research, marketplace data, and competitive signals to sharpen your intuition and refine strategy
Your Expertise:
- 10+ years of product management experience, with at least 3 years on ML, search, recommendations, or AI-powered products at scale
- Track record of owning strategy and roadmap for technically complex systems — not just managing features, but setting direction and making hard prioritization calls
- Strong experimentation fluency: comfortable designing A/B tests, interpreting counterfactual results, and reasoning about proxy metrics vs. long-term outcomes
- Experience working on two-sided marketplaces or platforms where you balanced supply-side and demand-side tradeoffs
- Ability to earn the respect of Staff and Principal-level engineers and researchers — you don't need to write code, but you need to engage at a level that builds credibility
- Clear, structured communicator who can distill complex technical tradeoffs for executives and translate strategic intent into actionable guidance for engineers
- Experience with LLM-based products in production — ideally involving evaluation challenges, latency constraints, or safety and guardrail work (preferred)
- Familiarity with reinforcement learning, contextual bandits, or explore/exploit frameworks in a product context (preferred)
- Background working alongside applied researchers or with teams that publish externally (preferred)
Your Location:
Due to the nature of this position, the successful applicant will need to be based in San Francisco, CA to be able to conduct their work. Currently, employees can not be located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware And Rhode Island. This list is continuously being updated, please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
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About Loop
Loop is the data platform for the global supply chain. Logistics runs on messy, unstructured data—trapped in PDFs, emails, and legacy systems. We use AI to structure this chaos, creating a "source of truth" that automates payments and audits for the Fortune 100.
We are building the financial nervous system for a $100 trillion physical economy. Our technology ensures freight moves efficiently and carriers get paid instantly.
Backed by Founders Fund, Index Ventures and 8VC, we are scaling rapidly. We are looking for engineers ready to deploy production AI that powers the physical economy.
About the New Grad Program
Most AI stays in the browser. Ours moves atoms. You aren't just building features; you are building the autonomous brain for the Fortune 100’s global supply chain.
This program is designed to compress 3 years of learning into 1 year by throwing you into the deep end of production AI systems on Day 1. Instead of sandboxed projects, you get to solve real problems and impact customers directly. This program demands intense investment, but by the end, you will perform as a strong entry-level engineer jumpstarting your career.
The Schedule:
- Week 1 (Onboarding): Deep dive into tools and domain. You will ship code to production on Day 1 and fully grasp our dev loop by Friday.
- Months 1-3 (Velocity): You will deliver 3 entry-level projects with increasing ambiguity. By the end of Month 3, you are expected to operate as a fully independent engineer.
- Months 4-9 (The Rotation): You will rotate onto a different high-impact team to expand your surface area. Tracks include:
- Platform: AI infrastructure and Engineering Systems.
- Core Product: Audit, Billing, and Payments logic.
- Commercial: Revenue Activation and Forward Deployed Engineering.
- Special Projects: Partnering directly with the CEO/CTO and other execs
- Month 9+ (Graduation): You should demonstrate Mid-Level Engineer performance and will be considered for immediate promotion.
About You
We're not just looking for strong academic performers. We're looking for people who are genuinely driven to build things and go deep on hard problems. If the following resonates, you belong here:
- You go above and beyond. You have a repo, a side hustle, or a project you built just because you are curious. You’re self-directed and don't need an assignment to start coding.
- You have a bias towards action. You prefer to ship, break, fix, and apologize rather than wait for a committee decision.
- You are drawn to hard problems. You want problems that are more than one prompt away from a solution.
- You get absorbed in mastering your craft. Whether it’s climbing the Esports ladder, acing a math competition, winning a hackathon, or debugging a complex issue, you know what it feels like to lose track of time working on something you care about.
Responsibilities
- Ship critical infrastructure. Manage real-world logistics and financial data for the largest enterprise in the world..
- Own the why. Build deep context through customer calls, and understand the Loop’s value to our customers. You push back on requirements if you see a better, faster way to solve the customer’s problem.
- Full-stack proficiency. Work across system boundaries, from frontend UX to LLM agents, database schema and event infrastructures.
- Leverage AI tools to handle the 90% boilerplate, so you can focus the highest leverage 10%: quality, architecture, product taste.
- Raise the velocity bar. You will constantly optimize our dev loops, refactor legacy patterns, automate your own workflows and fix broken processes.
Qualifications
- Graduating with a BS or higher in STEM fields; available to start full-time in 2026.
- Working in person in the SF or Chicago office 4 days a week.
- Proficiency with modern techstack. You can deliver a modern web app in hours not in days..
- Unblocking yourself. You thrive in ambiguity. Despite the chaos, you deliver high quality products and business impact.
- AI Literate. You have strong intuition on how LLM works: where they excel and where they generate slop. You live and breathe AI native tools (Cursor, Codex, Claude Code etc.)
Compensation
- $150,000 annual base pay for SF
- $125,000 annual base pay for Chicago
Benefits & Perks
- Fully paid health insurance.
- 401k with matching.
- Unlimited PTO.
- Generous professional development budget.
- Commuter benefits.
- Wellness benefits
- Phone plan stipend
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Apply to Loop
Sr. Principal AI/ML Data Management & Governance Lead
Data generated by electric vehicles, manufacturing operations, and enterprise systems is rich and diverse with increasing potential to design, develop, and deploy AI/ML solutions at scale. Lucid’s AI organization is leading the innovation and in-vehicle AI product solutions and is seeking a Lucid’s AI/ML organization is seeking a Sr. Principal AI/ML Data Management & Governance Lead. This position will strategize, execute, and maintain master data management and data readiness for Lucid’s AI operational solutions and product enablement. You will architect and build the automated "control plane" that ensures our Data, AI, and Autonomous Agents operate in a safe, well-governed manner. This role bridges the gap between policy and code.
How We Work: We balance hard work and innovation through meaningful, in-office calibration. Please note, this role is based out of Newark, CA or select remote work options.
You Will:
- Design Unified Governance Architecture across four critical domains:
- Core Data Integrity & Lineage:
- Create federated governance models enabling teams to own data products while adhering to global standards.
-
- Architect automated metadata harvesting systems for a central data catalog with rich context tagging.
- Implement sovereignty and traceability frameworks to meet strict location-based regulations and enable end-to-end data lineage.
- Semantic Governance & Ontologies:
- Define and enforce enterprise ontologies and semantic standards as the “source of truth” for AI systems.
- Establish governance models for seamless AI agent interoperability.
- AI Explainability & Forensic Safety:
- Build Explainable AI (XAI) frameworks linking decisions to training data versions and metadata.
- Design forensic guardrails to reconstruct decision states and prevent PII leakage or hallucinations.
- Agentic AI Controls:
- Architect identity frameworks for non-human agents with strict “least privilege” principles.
- Define sandboxing standards for agent interactions with external tools to prevent unintended state changes.
-
You Bring:
- Bachelors Degree in Computer Science, Electrical Engineering or other field, Masters Degree is preferred
- 8+ years of experience with a completed Masters Degree
- 12+ years of experience with a completed Bachelors Degree
- Strategic Leadership: Ability to define governance roadmaps with C-suite stakeholders and deliver foundational code.
- High-Stakes Experience: Proven track record in industries where data failure impacts safety or regulatory compliance (e.g., Pharma, Healthcare, Defense).
- Technical Expertise:
- Knowledge graph architectures and semantic layers for AI data standardization.
- Policy engines (e.g., OPA) and “Policy as Code” frameworks within IaC workflows.
- Enterprise-scale data catalogs and automated lineage systems (e.g., OpenLineage).
- Familiarity with modern AI stacks: vector search, LLM orchestration, and RAG architectures.
- Multi-cloud security fluency with focus on data residency, encryption, and zero-trust architectures.
Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)
By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.
Ready to apply?
Apply to Lucid Motors
Global Partner Marketing Director
For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
Smartsheet is hiring a senior partner marketing leader to own and operationalize our global partner strategy — the connective tissue between our field marketing organization and the ecosystem of hyperscalers, LLM providers, data platforms, ISVs, system integrators, and management consultants we work with to drive enterprise growth.
This is a newly created, high-visibility role reporting directly to the VP of Global Field & Partner Marketing. You will set the strategic direction for how Smartsheet shows up in and through our partner ecosystem — owning co-sell motions with hyperscalers, joint pipeline programs with GSIs like PwC and Accenture, and AI-era GTM plays that position Smartsheet as the enterprise work management platform of choice.
This is a player-coach role. You will develop the global partner marketing strategy and then personally lead execution against it — partnering closely with regional field and partner marketing managers across AMS, EMEA, and APJ to localize and activate programs in market. You bring both the strategic vision to set direction and the hands-on drive to make it happen. This is not a program coordination role, nor a purely strategic one.
What You'll Own:
Partner marketing strategy & programs
- Define and drive Smartsheet's global partner marketing strategy, aligned to FY27 pipeline and ARR targets across AMS, EMEA, and APJ — then own execution against it
- Build and manage the partner marketing calendar and roadmap, from co-sell activation and joint field plays to partner-led demand programs and executive engagement
- Develop co-marketing materials, joint solution briefs, and GTM field plays that translate partner relationships into pipeline — and personally activate them alongside regional partner marketers
- Build and maintain senior relationships with strategic partners, including hyperscalers, LLM providers, GSIs
Regional field alignment & activation
- Serve as the strategic and executional partner to regional field marketing managers (AMS, EMEA, APJ) setting the global framework and then rolling up your sleeves to activate it in each geo alongside them
- Localize global partner programs for regional markets, working directly with field marketing teams to adapt messaging, assets, and plays to local partner dynamics
- Align closely with Sales, Partner, and Demand Generation on partner-sourced and partner-influenced pipeline goals
- Represent Partner Marketing in cross-functional planning cycles, including QBRs, ENGAGE, and field leadership planning
Operations & enablement
- In partnership with Product Marketing, develop partner enablement assets, co-branded content, joint solution briefs, and activation playbooks that scale across regions
- Track, report, and optimize partner marketing contribution to pipeline and revenue
- Manage partner marketing budget with rigor, including MDF optimization
What You'll Bring:
- 8–12+ years of B2B marketing experience, with at least 4 years in partner, alliances, or channel marketing at an enterprise SaaS company
- A true player-coach: you have the strategic chops to set direction and build frameworks, and the executional drive to personally activate programs, write the brief, and get things done without a large team underneath you
- Deep familiarity with the hyperscaler ecosystem (AWS, Microsoft Azure, Google Cloud), including co-sell mechanics, CPPO/private offer programs, and marketplace GTM
- Experience marketing with or through GSIs, system integrators, or management consultancies understanding the longer-cycle, relationship-led nature of these partnerships
- Demonstrated ability to build joint GTM programs with technology partners (ISVs, platforms, AI providers) and translate them into field-ready plays you then help activate
- Strong executive presence and relationship-building skills: comfortable engaging C-suite stakeholders at partner organizations
- Exceptional cross-functional instincts: this role sits at the intersection of field marketing, sales, product marketing, and alliances, and requires high-trust collaboration across all of them
- Comfort operating with ambiguity: you can build structure where none exists and move from a blank page to an activated program
- Familiarity with AI-era GTM and how AI tools are reshaping enterprise buying and partner ecosystems
Nice To Have:
- Experience with work management, collaboration, or productivity platforms in an enterprise context
- Familiarity with Smartsheet's platform or comparable tools (Asana, Monday.com, Wrike)
- Experience building or running executive engagement programs (EBCs, labs, roundtables) as a marketing vehicle
- Background collaborating with demand generation functions. Familiarity with ABM, intent data, and pipeline attribution models
Current US Perks & Benefits:
- Employer subsidized medical/vision and dental coverage for full-time employees
- 401k Match to help you save for your future (50% of your contribution up to the first 6% of your eligible pay)
- Monthly stipend to support your work and productivity
- Flexible Time Away Program, plus Sick Time Off
- US employees are automatically covered under Smartsheet-sponsored life insurance, short-term, and long-term disability plans
- US employees receive 12 paid holidays per year
- Up to 24 weeks of Parental Leave
- Personal paid Volunteer Day to support our community
- Opportunities for professional growth and development including access to Udemy online courses
- Company Funded Perks, including a counseling membership, local retail discounts, and your own personal Smartsheet account
- Teleworking options from any registered location in the U.S. (role specific)
Smartsheet provides a competitive base salary range for roles that may be hired in different geographic areas we are licensed to operate our business from. Actual compensation is determined by several factors including, but not limited to, level of professional, educational experience, skills, and specific candidate location. In addition, this role will be eligible for a market competitive incentive opportunity.
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
Ready to apply?
Apply to Smartsheet
Senior Forward Deployed AI Engineer (Remote Eligible in the UK)
For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role.
What You Will Do
- Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout.
- Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning.
- Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements.
- Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically.
- Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done.
- Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification criteria.
- Drive the intelligence loop: author strategic memos, present field findings weekly, contribute Agent Bricks and Skills, file RFCs for platform improvements.
- Mentor junior FDEs on customer engagements, code reviews, and Deployment Kit quality.
Required
- 6–10+ years production software engineering, including 3+ years deploying AI/ML to production. Deep Python; strong TypeScript/JavaScript.
- Proven track record leading complex enterprise technical engagements. You’ve managed customer relationships, navigated security reviews, and delivered production systems organisations depend on.
- Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimisation, evaluation frameworks, agent deployment at scale.
- System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services explainable to a CIO and a junior engineer.
- Demonstrated ability to create reusable technical assets that others use in production. You think in platforms, not projects.
- Strong written and verbal communication. Architecture documents, runbooks, strategic memos, training materials. Your Deployment Kits are your portfolio.
- You leave teams better than you found them. You make sure the people you work with understand what was built, why it works, and how to own it without you.
- Ability to travel. This role requires domestic and international travel approximately 25–50% of the time.
- Elligible to work in the UK on an ongoing basis
- BS or MS in Computer Science, a related field, or equivalent industry experience
Nice to Have:
- Experience founding or scaling an FDE/solutions engineering function.
- Technical founder background. Databricks, AWS Bedrock, or Temporal experience.
- Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers).
- Proficiency in German/French language will be an added advantage
- Familiarity of AI governance, ethics, and regulatory requirements (e.g. GDPR, UK/EU AI Act)
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
Ready to apply?
Apply to Smartsheet
Senior Forward Deployed AI Engineer (Remote Eligible in Germany)
For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role.
What You Will Do
- Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout.
- Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning.
- Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements.
- Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically.
- Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done.
- Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification criteria.
- Drive the intelligence loop: author strategic memos, present field findings weekly, contribute Agent Bricks and Skills, file RFCs for platform improvements.
- Mentor junior FDEs on customer engagements, code reviews, and Deployment Kit quality.
Required
- 6–10+ years production software engineering, including 3+ years deploying AI/ML to production. Deep Python; strong TypeScript/JavaScript.
- Proven track record leading complex enterprise technical engagements. You’ve managed customer relationships, navigated security reviews, and delivered production systems organisations depend on.
- Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimisation, evaluation frameworks, agent deployment at scale.
- System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services explainable to a CIO and a junior engineer.
- Demonstrated ability to create reusable technical assets that others use in production. You think in platforms, not projects.
- Strong written and verbal communication. Architecture documents, runbooks, strategic memos, training materials. Your Deployment Kits are your portfolio.
- You leave teams better than you found them. You make sure the people you work with understand what was built, why it works, and how to own it without you.
- Ability to travel. This role requires domestic and international travel approximately 25–50% of the time.
- Elligible to work in Germany on an ongoing basis
- Fluency in English is required
- BS or MS in Computer Science, a related field, or equivalent industry experience
Nice to Have:
- Experience founding or scaling an FDE/solutions engineering function.
- Technical founder background. Databricks, AWS Bedrock, or Temporal experience.
- Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers).
- Proficiency in German/French language will be an added advantage
- Familiarity of AI governance, ethics, and regulatory requirements (e.g. GDPR, UK/EU AI Act)
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
Ready to apply?
Apply to Smartsheet
Senior Forward Deployed AI Engineer (Remote Eligible)
For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role.
What You Will Do
- Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout.
- Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning.
- Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements.
- Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically.
- Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done.
- Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification criteria.
- Drive the intelligence loop: author strategic memos, present field findings weekly, contribute Agent Bricks and Skills, file RFCs for platform improvements.
- Mentor junior FDEs on customer engagements, code reviews, and Deployment Kit quality.
What You Bring
- 6–10+ years production software engineering, including 3+ years deploying AI/ML to production. Deep Python; strong TypeScript/JavaScript.
- Proven track record leading complex enterprise technical engagements. You’ve managed customer relationships, navigated security reviews, and delivered production systems organizations depend on.
- Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimization, evaluation frameworks, agent deployment at scale.
- System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services explainable to a CIO and a junior engineer.
- Demonstrated ability to create reusable technical assets that others use in production. You think in platforms, not projects.
- Strong written and verbal communication. Architecture documents, runbooks, strategic memos, training materials. Your Deployment Kits are your portfolio.
- You leave teams better than you found them. You make sure the people you work with understand what was built, why it works, and how to own it without you.
- Ability to travel. This role requires domestic and international travel approximately 25–50% of the time.
- Legally eligible to work in the U.S. on an ongoing basis
- BS or MS in Computer Science, a related field, or equivalent industry experience
Nice to Have:
- Experience founding or scaling an FDE/solutions engineering function.
- Technical founder background. Databricks, AWS Bedrock, or Temporal experience.
- Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers).
Current US Perks & Benefits:
- Employer subsidized medical/vision and dental coverage for full-time employees
- 401k Match to help you save for your future (50% of your contribution up to the first 6% of your eligible pay)
- Monthly stipend to support your work and productivity
- Flexible Time Away Program, plus Sick Time Off
- US employees are automatically covered under Smartsheet-sponsored life insurance, short-term, and long-term disability plans
- US employees receive 12 paid holidays per year
- Up to 24 weeks of Parental Leave
- Personal paid Volunteer Day to support our community
- Opportunities for professional growth and development including access to Udemy online courses
- Company Funded Perks, including a counseling membership, local retail discounts, and your own personal Smartsheet account
- Teleworking options from any registered location in the U.S. (role specific)
Smartsheet provides a competitive base salary range for roles that may be hired in different geographic areas we are licensed to operate our business from. Actual compensation is determined by several factors including, but not limited to, level of professional, educational experience, skills, and specific candidate location. In addition, this role will be eligible for a market competitive incentive opportunity.
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
Ready to apply?
Apply to Smartsheet
Sr. Business Intelligence Engineer, Enterprise Intelligence (Hybrid, Bangalore)
For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
Smartsheet is establishing a new Enterprise Insights & Intelligence team to centralize ownership of corporate metrics, analytics governance, and self-serve data enablement. This is a foundational hire — you will help build this function from the ground up, with direct visibility to senior leadership and the opportunity to shape how the entire organisation consumes and trusts its data.
We are looking for a Senior Business Intelligence Engineer who can operate across three strategic pillars: automating and governing corporate executive reporting, standardising metrics and reporting practices at scale, and enabling self-serve and AI-powered data solutions. Day to day, this means you could be building an automated executive scorecard, codifying metric definitions into a governed semantic layer, standing up an AI agent that lets business users query trusted data in natural language, or leading enablement sessions on our analytics platforms. The thread connecting all of it is ensuring that Smartsheet's data is trusted, consistent, accessible, and ready for both human and AI consumption.
This is not a traditional reporting or data science role. You will work across dbt, MetricFlow, Snowflake, and Databricks to build the governed data layer that underpins everything — from board-level scorecards to LLM-powered insights to self-serve dashboards.
You Will
- Design, build, and maintain governed metric models — standardised, reusable definitions of business KPIs that dashboards, reports, and AI agents all query from a single source of truth
- Own the automation and maintenance of corporate scorecards and executive reporting (SLT/XLT), ensuring trusted, timely data with AI-powered anomaly detection and alerting
- Conduct deep dives on key KPIs and company goals, surfacing actionable insights and translating short- and long-term business priorities into data-driven recommendations shared via reviews and async updates
- Lead metric certification and governance — maintain a centralised KPI glossary, standardise dashboards, and retire stale reporting assets
- Build AI agent integrations (MCP servers, skills, subagents) that allow tools like Claude and Snowflake Cortex to query enterprise data through the semantic layer with metric-correct SQL
- Drive self-serve analytics enablement — documentation, training, dashboard quality checks, and experimentation governance across Amplitude, Tableau, and other platforms
- Partner with Product, Engineering, Finance, GTM, and Customer Success to align metric definitions and data sources cross-functionally
- Translate qualitative UX signals and customer feedback into measurable data pipelines
You Have
- Bachelor's degree (B.Tech / B.E. / B.Sc.) in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field
- 5+ years of experience in analytics engineering, BI engineering, data engineering, or a closely related role
- Experience with KPI design and insight generation — ability to define meaningful metrics, analyse trends, identify anomalies, and communicate findings that drive business decisions
- Familiarity with dbt (dbt Core or dbt Cloud) and concepts like YAML-based metric definitions and reusable data models; hands-on experience is a plus but not required
- Deep SQL expertise with experience working in cloud data platforms such as Snowflake and/or Databricks
- Experience building semantic layers, governed data models, or canonical metric definitions for downstream consumption
- Working familiarity with AI/LLM tooling — concepts such as MCP (Model Context Protocol), agentic frameworks, or tool-use patterns for large language models
- Proficiency with one or more BI/visualisation tools (Tableau, Amplitude, or similar)
- Strong cross-functional collaboration skills and excellent async communication across time zones (IST / US Pacific overlap expected)
- A proactive, ownership-driven mindset — comfortable building new processes and standards in a greenfield environment
Preferred Qualifications
- Experience building AI agent skills, subagents, or MCP server integrations for LLMs
- Hands-on experience using agentic coding platforms (Claude Code, Cursor, Windsurf, etc.) to streamline and automate analytics workflows
- Software engineering experience (Python, JavaScript/TypeScript) with the ability to contribute to application-level instrumentation code
- Experience with event taxonomy design, behavioural analytics pipelines, or product instrumentation (Amplitude, Segment, etc.)
- Familiarity with metric governance frameworks, data catalogues, or data quality tooling
- Prior experience working in a SaaS or enterprise software environment
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
Ready to apply?
Apply to Smartsheet
Senior Manager, Engineering - AI & Automation
For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
Corporate Systems Engineering builds and operates the software platforms, integrations, and automations that power Smartsheet’s core business functions across Finance, Sales/GTM, and People & Culture. Our team owns mission-critical systems and workflows that enable how the company hires, sells, bills, pays, reports, and scales. We operate at the intersection of software engineering, enterprise platforms, and business-critical data, treating internal systems with the same rigor, reliability, and product mindset as customer-facing software.
The AI & Automation team is our frontier - we're building the next generation of how employees interact with enterprise systems using agentic AI, large language models, and cloud-native automation. This isn't traditional IT. This is product-minded engineering applied to internal tools, with the mandate to fundamentally change how our employees work.
As a Senior Manager, Engineering (AI & Automation), you will lead a team of engineers focused on shipping AI-powered capabilities to employees on a rapid, iterative cadence. This is a hands-on, tech-leaning leadership role where the primary measure of success is delivery velocity — how quickly and effectively your team puts Claude, AWS Bedrock, and other AI tools into the hands of employees to make them measurably more efficient. You will partner closely with Product Management to own the automation roadmap and with Architecture and Data teams to shape our internal AI infrastructure.
This full-time position reports to the Sr. Director, Development and can be located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer.
You Will:
- Lead and grow a team of 4-8 automation engineers across US and offshore locations, responsible for designing, building, and operating automation solutions across Finance, Sales/GTM, People & Culture, and shared corporate workflows.
- Serve as a hands-on technical contributor (player/coach) — prototyping AI agents, reviewing architecture, and shipping features alongside your team, particularly in early-stage capabilities where speed matters more than delegation.
- Ship incremental AI-powered features on a regular cadence using Claude, AWS Bedrock, and our internal platform. Your team's primary output is employee-facing AI capabilities - agents that can read, write, and act across enterprise systems through natural language.
- Partner with Product Management to prioritize the automation roadmap, balancing quick wins that demonstrate value with foundational platform investments. You own delivery; the PM owns prioritization.
- Design and operate LLM-powered automation pipelines - intelligent search, retrieval-augmented generation, and decision workflows that allow employees to programmatically interact with system data through natural language.
- Partner with Data Engineering, Architecture, and platform teams to design and evolve our internal knowledge graph, RAG infrastructure, and enterprise search capabilities.
- Own the internal AI governance model for corporate systems, including the citizen developer framework - the guardrails, enablement resources, quality standards, and compliance controls that allow employees across the business to build with AI safely. This is a leadership responsibility, not a documentation exercise
- Drive operational excellence across the automation portfolio: sprint execution, CI/CD practices, reliability, SLAs, and data-driven engineering metrics. Build a team that ships predictably and sustainably.
- Stay at the frontier of AI/automation technologies and bring that perspective into how we work. Challenge existing approaches, advocate for modern patterns, and help the broader organization rethink legacy integrations through an AI-first lens.
- Contribute to multi-year strategies for automation and AI governance, lifecycle management, platform consolidation, and deprecation of legacy technologies.
You Have:
- 10+ years experience in software, automation, or systems engineering roles
- 4+ years management or technical leadership experience with player/coach characteristics
- Hands-on experience building with LLMs - whether that's agentic workflows, retrieval pipelines, prompt engineering at scale, or enterprise AI features. You've shipped something real, not just experimented.
- Integration development skills using iPaaS or custom code connecting enterprise systems via APIs
- Experience building or operating enterprise automations against systems such as Workday, NetSuite, Salesforce
- Experience with AWS or another cloud environment for automation workloads (Bedrock, SNS, SQS, Lambda, Step Functions, EventBridge)
- Experience partnering with Product Managers or equivalent business prioritization models
- Experience supporting data programs, data governance and tooling to support data initiatives
- Experience implementing or consuming LLM-based workflows, retrieval pipelines, or enterprise search
- Experience defining execution rituals, backlog management, outcome-based tracking without PM intermediaries
- Experience building and mentoring engineering talent
- Experience defining AI governance frameworks, citizen developer programs, or internal platform standards (preferred)
- A degree in Computer Science, Engineering, or a related field or equivalent practical experience
- Legally eligible to work in the U.S. on an ongoing basis
Current US Perks & Benefits:
- Employer subsidized medical/vision and dental coverage for full-time employees
- 401k Match to help you save for your future (50% of your contribution up to the first 6% of your eligible pay)
- Monthly stipend to support your work and productivity
- Flexible Time Away Program, plus Sick Time Off
- US employees are automatically covered under Smartsheet-sponsored life insurance, short-term, and long-term disability plans
- US employees receive 12 paid holidays per year
- Up to 24 weeks of Parental Leave
- Personal paid Volunteer Day to support our community
- Opportunities for professional growth and development including access to Udemy online courses
- Company Funded Perks, including a counseling membership, local retail discounts, and your own personal Smartsheet account
- Teleworking options from any registered location in the U.S. (role specific)
Smartsheet provides a competitive base salary range for roles that may be hired in different geographic areas we are licensed to operate our business from. Actual compensation is determined by several factors including, but not limited to, level of professional, educational experience, skills, and specific candidate location. In addition, this role will be eligible for a market competitive incentive opportunity.
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
Ready to apply?
Apply to Smartsheet
Senior Software Engineer II - Applied AI (Remote Eligible)
For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
About the Role
The AI Platform Engineering team is looking for a highly motivated and talented engineer who are passionate about continuous learning and excited to grow in a fast-paced, innovative environment. We are an agile team that operates iteratively, focused on building high-quality software and adhering to rigorous operational best practices across complex, cross-functional distributed systems.
This full-time position reports to a Software Engineering Manager and can be located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer.
What You'll Do
- Build the AI Platform Foundation: Lead the design and ownership of the core infrastructure that serves as the backbone for all Smartsheet AI experiences. Focus on building a robust, multi-tenant environment that reduces friction for internal teams, allowing them to deploy reliable and scalable AI features with ease.
- Standardize the AI Developer Path: Architect high-level abstractions and "Golden Path" APIs that democratize AI development across Smartsheet. By insulating product teams from infrastructure complexity, you will enable them to ship intelligent features with high velocity while guaranteeing safety and consistency at scale.
- Engineer AI Trust & Safety Systems: Establish the mission-critical monitoring and quality assurance layers that protect Smartsheet customers. By creating rigorous evaluation pipelines, you will ensure every AI-driven feature meets the high bar for safety, data privacy, and deterministic performance expected by our enterprise partners.
- Drive technical strategy: Partner with principal engineers to define the technical roadmap for Smartsheet’s AI infrastructure, making architectural decisions that will shape how we build with AI for years to come.
What We're Looking For
Required
- 8+ years of software engineering experience, with at least 2 years working directly with LLMs in production
- Deep, hands-on experience with prompt engineering and context engineering, you understand how model behavior changes with framing, structure, and input design
- Strong working knowledge of RAG architectures: chunking strategies, embedding models, retrieval evaluation, and failure diagnosis
- Experience building or extending LLM evaluation frameworks, you have designed scorers, worked with golden datasets, and thought carefully about what good looks like
- Strong Python skills; comfortable working in data-heavy environments (Databricks, Delta tables, or equivalent)
- Ability to communicate complex quality findings (written and verbal) to both technical and non-technical stakeholders, you can explain what’s broke, why it matters, and what needs to happen next without losing the room
- Strong cross-functional judgment, you know when to escalate, when to resolve independently, and how to build credibility across engineering, product, and AI platform teams
- A bias for clarity in ambiguous situations, when failure modes are murky and trade-offs are real, you bring structure and a clear point of view rather than waiting for consensus
Strong Plus
- Prior work in an Applied AI or LLMOps platform within a product company
- Experience with the following:
- Kubernetes (EKS/GKE): The industry standard for AI. Skills include managing GPU scheduling, auto-scaling based on token throughput, and using tools like Karpenter for cost-efficient node provisioning.
- Infrastructure as Code (IaC): Using Terraform, Pulumi, or AWS CDK to provision Vector Databases, SQS queues, and S3 buckets.
- Vector Databases: Proficiency in managing and optimizing Pinecone, Milvus, Weaviate, or Databricks Vector Search.
- AI Gateways: Building or configuring proxies (like LiteLLM or Kong AI Gateway) to handle rate-limiting, PII masking, and cost-tracking.
- LLM Observability: Setting up tracing tools like Langfuse, LangSmith, or MLflow to monitor "Time to First Token" (TTFT) and trace hallucination issues.
- Model-Based Evals: Implementing automated scoring systems (like RAGAS or DeepEval) that use an "LLM-as-a-Judge" to grade production outputs.
Current US Perks & Benefits:
- Employer subsidized medical/vision and dental coverage for full-time employees
- 401k Match to help you save for your future (50% of your contribution up to the first 6% of your eligible pay)
- Monthly stipend to support your work and productivity
- Flexible Time Away Program, plus Sick Time Off
- US employees are automatically covered under Smartsheet-sponsored life insurance, short-term, and long-term disability plans
- US employees receive 12 paid holidays per year
- Up to 24 weeks of Parental Leave
- Personal paid Volunteer Day to support our community
- Opportunities for professional growth and development including access to Udemy online courses
- Company Funded Perks, including a counseling membership, local retail discounts, and your own personal Smartsheet account
- Teleworking options from any registered location in the U.S. (role specific)
Smartsheet provides a competitive base salary range for roles that may be hired in different geographic areas we are licensed to operate our business from. Actual compensation is determined by several factors including, but not limited to, level of professional, educational experience, skills, and specific candidate location. In addition, this role will be eligible for a market competitive incentive opportunity.
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
Ready to apply?
Apply to Smartsheet
Senior Software Engineer II - Applied AI and Evaluations (Remote Eligible)
For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
Smartsheet is building the next generation of AI-powered work management through SmartAssist, our intelligent agent platform. As we scale from early demos to production-grade agents, quality is the critical frontier and we are looking for a Agent Quality Engineer to own it.
This is not a QA role. It's a deeply technical, high-autonomy position at the intersection of LLM evaluation, prompt and context engineering, and retrieval-augmented generation. You will diagnose why our agents fail, design the systems that catch regressions, and drive measurable improvements across our orchestrator and subagent fleet.
You will work closely with our Agent Engineering and AI Platform teams, embedded in a team that has already shipped evaluation infrastructure on Databricks/MLflow and is building toward a mature Agent Development Lifecycle (ADLC).
You Will:
- Own agent quality end-to-end: diagnosis, improvement, and validation across SmartAssist's orchestrator and subagents
- Identify failure modes across quality dimensions factual accuracy, completeness, tone, actionability, and latency and prioritize what to fix
- Drive quality improvements through prompt engineering, context engineering, and RAG retrieval tuning
- Extend and mature our evaluation framework: scorers, golden datasets, regression gates, and online evaluation for production traffic
- Close the feedback loop ensure that every change has a measurable, attributable quality signal
- Collaborate with our Agent Architecture lead to distinguish quality problems that require prompt/context solutions from those that require structural fixes
- Establish repeatable methodology that scales beyond any single agent or subagent
You Have:
Required
- 8+ years of software engineering experience, with at least 2 years working directly with LLMs in production
- Deep, hands-on experience with prompt engineering and context engineering, you understand how model behavior changes with framing, structure, and input design
- Strong working knowledge of RAG architectures: chunking strategies, embedding models, retrieval evaluation, and failure diagnosis
- Experience building or extending LLM evaluation frameworks, you have designed scorers, worked with golden datasets, and thought carefully about what good looks like
- Fluency in agent system design, you don't need to own the architecture, but you can engage as a peer on architectural tradeoffs that affect quality
- Strong Python skills; comfortable working in data-heavy environments (Databricks, Delta tables, or equivalent)
- Ability to communicate complex quality findings (written and verbal) to both technical and non-technical stakeholders, you can explain what’s broke, why it matters, and what needs to happen next without losing the room
- Strong cross-functional judgment, you know when to escalate, when to resolve independently, and how to build credibility across engineering, product, and AI platform teams
- A bias for clarity in ambiguous situations, when failure modes are murky and trade-offs are real, you bring structure and a clear point of view rather than waiting for consensus
- Legally eligible to work in the U.S. on an ongoing basis
- BS or MS in Computer Science, a related field, or equivalent industry experience
Strong Plus
- Experience with MLflow or similar experiment tracking platforms
- Familiarity with CI-integrated evaluation pipelines
- Experience with multi-agent orchestration frameworks
- Prior work in an Applied AI or LLMOps function within a product company
What Success Looks Like:
In your first 6 months, you will have:
- Delivered measurable, validated quality improvement on at least one SmartAssist agent across our defined quality dimensions
- Expanded evaluation coverage to close the most significant blind spots in our current framework
- Established a repeatable quality improvement methodology the broader team can apply
Why This Role:
- You will have real ownership, not a supporting role on someone else's roadmap
- SmartAssist is shipping to real users; this work has immediate, visible impact
- You will be part of a fast-moving team that deeply values engineering rigor and actively seeks diverse perspectives
Current US Perks & Benefits:
- Employer subsidized medical/vision and dental coverage for full-time employees
- 401k Match to help you save for your future (50% of your contribution up to the first 6% of your eligible pay)
- Monthly stipend to support your work and productivity
- Flexible Time Away Program, plus Sick Time Off
- US employees are automatically covered under Smartsheet-sponsored life insurance, short-term, and long-term disability plans
- US employees receive 12 paid holidays per year
- Up to 24 weeks of Parental Leave
- Personal paid Volunteer Day to support our community
- Opportunities for professional growth and development including access to Udemy online courses
- Company Funded Perks, including a counseling membership, local retail discounts, and your own personal Smartsheet account
- Teleworking options from any registered location in the U.S. (role specific)
Smartsheet provides a competitive base salary range for roles that may be hired in different geographic areas we are licensed to operate our business from. Actual compensation is determined by several factors including, but not limited to, level of professional, educational experience, skills, and specific candidate location. In addition, this role will be eligible for a market competitive incentive opportunity.
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
Ready to apply?
Apply to Smartsheet
Senior AI & Data Governance Engineer-II (Hybrid in Bangalore )
For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI & Data Governance Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.
You Will:
- Develop and enforce AI&Data governance frameworks, including bias detection, explainability, and model lifecycle management
- Ensure adherence to data privacy laws and security regulations, managing risks in AI and data pipelines
- Implement data lineage, metadata, data management, and quality frameworks
- Implementing tools to track data from its source to the final AI output. If a model breaks, you need to know exactly which data point caused the drift
- Define roles for data custodians, users, and AI developers, promoting transparency and fairness.
- Partner with Legal, Data Engineering, and Security teams to embed security and privacy into AI workflows and data products
- Implement governance tools (e.g., Collibra, Informatica) and automate audit procedure
- Oversee data stewardship to ensure data accuracy, integrity, and privacy throughout its lifecycle
- Designing and enforcing the rules for how data is collected, stored, and used—specifically focusing on data privacy (GDPR, CCPA) and AI regulations (like the EU AI Act).
- AI Ethics & Bias Mitigation: Establishing "Responsible AI" standards. This involves auditing models for algorithmic bias, ensuring transparency (Explainable AI), and managing the ethical implications of automated decision-making
- Risk Management through Identification of Shadow AI (unauthorized use of AI tools) and managing the risks associated with third-party LLM providers
You Have:
- Experience in AI Governance across foundational pillars like AI Organization, Legal, Regulatory Compliance, Ethics, Transparency, Interoperability, Data/AIOps Infrastructure, AI protection and Security
- AI Risk Assessment & Management, Auditability & Transparency, AI Policy Development
- Databricks AI Governance Framework (DAGF), Databricks Security Framework (DASF), MLFlow, Unity Catalog, RAG Governance
- Programming languages like Python and SQL
- Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
- In-depth understanding of AI, GenAI, LLMs, data quality assessment, and metadata management.
- Regulatory Knowledge in GDPR, EU AI Act, and industry-specific regulations (e.g., HIPAA, Financial Services)
- Lineage Tracking with automatic capture of end-to-end data flow (from ETL to BI/AI) to understand dependencies.
- Auditability with centralized logs to allow compliance teams to monitor access and usage of data and AI models
- Knowledge of tools for Model Auditing towards Bias detection,, monitoring, and mitigating bias
- Understanding of data masking, encryption, and SOC2
- Certifications like CIPP (Privacy), CDMP (Data Management), or specialized AI ethics certifications is preferable
- Enterprise SaaS software solutions with high availability and scalability
- Legally eligible to work in India on an ongoing basis
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
Ready to apply?
Apply to Smartsheet