Member of Technical Staff – Tech Lead

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 and Mayank Agarwal ) 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).

What You'll Do

Lead a team of engineers: set technical direction, break ambitious goals into executable plans, and make sure the team ships customer outcomes.

Own the architecture of large subsystems from early design through long-term evolution, and make the key technical calls on tradeoffs, scope, and sequencing.

Raise the engineering bar through design reviews, code reviews, and mentorship. Help the engineers around you grow into owners.

Partner closely with Research Scientists, product, and domain experts to turn real SRE scenarios and customer problems into AI product capabilities that hold up in production.

Design, build, and scale the backend services and APIs that power our AI agents in high-concurrency, distributed environments.

Bake reliability, scalability, and performance into every layer of the system.

Close the loop fast. Ship a rough version, watch it run, find where it breaks, refine, and build that habit into the team.

Use AI tools aggressively across the stack, from code generation to debugging, so you and your team move faster than you could alone.

What We're Looking For

5+ years of industry experience as a software engineer.

Prior experience as a tech lead for an engineering team: you've set technical direction, driven projects to completion through other engineers, and grown the people on your team.

Experience building an AI product: you've shipped LLM-powered features, ideally AI agents, to customers and know what it takes to make them reliable and production-grade. That includes evals, prompt and agent design, and handling non-determinism in production.

Strong backend engineering skills, with real experience building and deploying scalable, high-performance services in high-concurrency production environments.

Experience with cloud platforms (especially AWS) and Kubernetes, and a solid grasp of databases and messaging systems for cloud-native applications.

Bias for action. You close the loop quickly to get an initial version in front of people, then refine from there.

Not afraid to get in the weeds. Even as a lead, you like digging into technical problems, staring at data, and debugging.

Bonus: prior SRE, on-call, or incident response experience.

Bonus: familiarity with observability and other developer-facing tool internals.

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.