Member of Technical Staff – Tech Lead

ResolveAI; San Francisco (CA); On-site; USD 220,000 - 300,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

Housing Stipend

Unlimited PTO

Visa sponsorship

401(k) Plan

Parental Leave

Tech Benefit Stipend

Daily in-office meals

Job summary

Resolve AI in San Francisco is seeking a Senior Engineering Leader to guide a team building scalable AI production capabilities. You will set technical direction, own large subsystems, and mentor engineers to become owners.

You will work with researchers, product, and domain experts to turn SRE scenarios into production-grade AI features, design backend services and APIs, and ensure reliability, performance, and high concurrency.

Qualifications

• 5+ years of industry experience as a software engineer.
• Experience leading an engineering team to deliver projects.
• Experience building AI products with LLM-powered features.
• Backend services in high-concurrency production environments.
• Experience with AWS, Kubernetes, databases, and messaging systems.
• Bias for action and ability to quickly iterate.
• Bonus: SRE, on-call, incident response experience.
• Bonus: observability tools familiarity.

Responsibilities

• Lead a team of engineers and set technical direction.
• Own architecture of large subsystems from design to evolution.
• Raise engineering bar through design reviews, code reviews, and mentorship.
• Collaborate with researchers, product, and domain experts to turn problems into AI capabilities.
• Design, build, and scale backend services and APIs for AI agents.
• Bake reliability, scalability, and performance into every layer.
• Ship rough versions, observe, iterate, and improve.
• Leverage AI tools across the stack to accelerate delivery.

Skills

Team leadership

Backend engineering

AI product

AWS

Kubernetes

Databases

Messaging systems

Code debugging

Observability

Job description

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 torace,color,religion,national origin,sex,gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law.