Full-Stack Product Owner (AI Agents)

Metric Tree Labs
Kerala, India

The Opportunity

A stealth AI startup in San Francisco, founded by Harvard and MIT alumni, is building agents that handle complex, high-stakes paperwork for US families. They research what applies to each family, handle correspondence, and follow up over weeks. The product is running in test. You’ll be the first engineering hire, working directly with the two co-founders to take it live.

You’re a Fit If You

  • Are high agency. You don’t wait for permission or perfect information. You see what needs doing and make it happen.
  • Figure things out on your own. When something’s unclear, you research, decide, build, and check in with what you did, not with a list of questions.
  • Are comfortable in an unstructured environment: no detailed specs, no fixed processes, no one assigning your day
  • Have owned a product or major feature end to end, ideally as an early engineer at a startup
  • Ship fast, with small changes daily, and know when scrappy is good enough
  • Adapt easily when priorities shift mid-week. The product is early, and plans will change as users teach us things.
  • Make product calls yourself and push back when you disagree, including with the founders
  • Keep the team updated on what shipped, what’s blocked, and what needs a decision

What You’ll Build

  • Features end to end, from agent logic to the screen a family uses
  • Agents with tool calling, guardrails, evals and tracing
  • Long-running workflows that wait days for replies and survive restarts
  • Secure handling of sensitive personal data

Must-Haves

  • 4–6 years of software engineering, with strong TypeScript across the stack (Node.js + React)
  • Independent production ownership: you’ve designed, deployed and run features in production yourself, including monitoring, debugging live issues and fixing what breaks, with no separate DevOps or QA team to lean on
  • Built and shipped at least one LLM-powered feature or agent yourself: tool calling, structured/validated output, and handling model failures
  • PostgreSQL and relational data modelling
  • Background jobs, queues or workflow engines (e.g. Temporal, Inngest, Celery) that retry and survive failure
  • Deploying on AWS or Azure: CI/CD, environment setup, logging and alerting
  • Secure handling of sensitive data: access control, encryption, no secrets in code or logs
  • Automated testing as a habit, including tests for model-driven behaviour
  • Daily use of AI coding tools, with the judgement to review what they produce
  • Excellent English; comfortable on camera for daily stand-ups

Bonus: founding-engineer experience; Python, Go or Rust in production; agent frameworks (LangGraph, Claude Agent SDK, OpenAI Agents SDK); evals and observability for LLM systems; infrastructure as code (Terraform/Pulumi); document processing and OCR.

Details

  • Long-term engagement through Metric Tree Labs, dedicated to this client
  • IST hours: 2:30–11:30 p.m. or 7:00 a.m.–4:00 p.m. (finalised after the first few weeks)
  • Own laptop (16 GB+ RAM, disk encryption on)
  • Process: founder intro call → 90-min technical session. Quick decisions.
  • Start: November 2026

To Apply

  • Send your CV, a link to something you’ve shipped (repo, live product or demo), and 2–3 lines on a time you solved a problem with no guidance and no one to ask: what you did, and how fast you got it live.

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Questions about this job

How do I apply for the Full-Stack Product Owner (AI Agents) job at Metric Tree Labs?

Use the apply link on this page: you apply directly with Metric Tree Labs on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does Metric Tree Labs want for this Full-Stack Product Owner (AI Agents) role?

The job description asks for TypeScript, Node.js, React, PostgreSQL, background jobs, queues, workflow engines and AWS. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at Metric Tree Labs?

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Is this Full-Stack Product Owner (AI Agents) job remote or onsite?

This is based in Kerala.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with Metric Tree Labs, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

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