Forward Deployed Engineer
Resolve AI
San Francisco, CA · Posted October 9, 2026
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More in California job market · Forward Deployed Engineer jobs in San Francisco, CA (64) · All Forward Deployed Engineer jobs (317) · Technology & Software · Engineering jobs
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Where San Francisco, CA ranks
Where San Francisco, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing does not state pay. Across 103 open forward deployed engineer listings that state pay, the middle half runs $160,000 to $215,000 and the median is $195,000.
Listed pay is what employers advertise, not what people are paid.
Forward Deployed Engineer salaries by state · Check your own pay
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
ABOUT RESOLVE AI
- Software maintenance and production troubleshooting have become a massive tax of engineering velocity. Resolve AI is solving this by building a transformative, truly autonomous AI Production Engineer that investigates and fixes complex system issues end-to-end.
- Our founders (Spiros Xanthos https://www.linkedin.com/in/spiros/ and Mayank Agarwal https://www.linkedin.com/in/mayank-ag/) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware.
- We’ve raised over $190M from top-tier investors including Lightspeed, Greylock, DST, Unusual Ventures, and individual backers such as Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn), and Fei-Fei Li (Professor, Stanford).
ABOUT RESOLVE AI
- Software maintenance and production troubleshooting have become a massive tax of engineering velocity. Resolve AI is solving this by building a transformative, truly autonomous AI Production Engineer that investigates and fixes complex system issues end-to-end.
- Our founders (Spiros Xanthos https://www.linkedin.com/in/spiros/ and Mayank Agarwal https://www.linkedin.com/in/mayank-ag/) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware.
- We’ve raised over $190M from top-tier investors including Lightspeed, Greylock, DST, Unusual Ventures, and individual backers such as Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn), and Fei-Fei Li (Professor, Stanford).
Joining Resolve AI at this stage of our journey is a once-in-a-lifetime opportunity. You’ve already decided that you want to work at an AI-native company that’s pushing the limits of how engineers work, and now you’re looking for the right one.
WHAT YOU’LL DO
- Own enterprise deployments end-to-end. Work directly with some of the world's largest engineering organizations to deploy Resolve across their production infrastructure and drive meaningful adoption.
- Build custom agents, integrations, and features. Design and ship production-grade software to solve customer-specific problems, from integrating proprietary internal systems to building autonomous workflows and agents.
- Get deep into production systems. Understand how customers operate their infrastructure, including Kubernetes, cloud platforms, observability stacks, incident management systems, and internal developer tooling.
- Drive technical adoption and expansion. Go beyond getting Resolve deployed. Work with customer engineering teams to identify new use cases, expand into additional teams, and make Resolve a critical part of their production operations.
- Bridge customers and core engineering. Identify recurring customer needs, influence our product roadmap, and turn bespoke solutions into scalable product capabilities.
- Own outcomes, not just deliverables. Take responsibility for solving customer problems, removing blockers, and delivering measurable improvements in how engineering teams operate.
- Operate with extreme urgency and ownership. Navigate ambiguity, work through complex technical and organizational challenges, and find creative ways to get things done.
WHAT WE’RE LOOKING FOR
- Strong software engineering fundamentals. Experience designing, building, and shipping production-quality software. Proficiency in at least one language such as Python, Go, or TypeScript.
- Strong customer-facing skills. Ability to work directly with enterprise engineering teams, understand their technical challenges, communicate complex solutions clearly, and build trusted relationships with engineers and technical leaders.
- Ability to drive adoption and customer outcomes. Comfortable taking ownership beyond the initial deployment, proactively identifying opportunities to expand usage, removing technical blockers, and ensuring customers realize meaningful value from the product.
- Familiarity with production infrastructure. Hands-on experience with Kubernetes, Docker, cloud platforms (AWS, GCP, or Azure), and distributed systems.
- Understanding of AI agents and LLMs. Familiarity with agent architectures, tool calling, LLM APIs, and building reliable AI-powered workflows, or a demonstrated ability to learn these systems quickly.
- Exceptional ownership and resourcefulness. Willing to navigate ambiguity, work across engineering and customer teams, and do whatever it takes to solve difficult problems. You don't just identify blockers; you find ways around them.
- Strong product intuition. Ability to translate customer pain points into technical solutions, recognize patterns across enterprise deployments, and help shape product capabilities that can scale beyond a single customer.
WHY JOIN RESOLVE AI?
- Make a Real Impact: Join a mission-driven team tackling complex challenges that deliver meaningful outcomes for customers and revolutionize engineering operations.
- Shape Agentic AI’s Future: Help build the next frontier in enterprise software and define its transformative impact.
- Own Your Work: Take end-to-end responsibility in your role in a collaborative, high-trust environment.
- Accelerate Your Career: Grow alongside industry leaders in a fast-paced environment, gaining invaluable experience and opportunities to propel your career to new heights.
- Competitive Benefits: Competitive Pay Packages with full benefits including:
- Comprehensive Medical, Dental, and Vision Insurance
- Monthly Housing Stipend
- Flexible (Unlimited) Paid Time Off
- Visa Sponsorship & Immigration Support
- 401(k) Plan
- Parental Leave
- Discretionary Tech Benefit Stipend
- Daily in-office Lunches and Dinners
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law.