Product Manager
Sarvam AI
Bengaluru, IndiaPosted 6 months ago
S
Skill Required
ProductProduct ManagerEngineeringbuildingdesignSQLAIFulltime
Key highlights
- 3–7 years of product management experience required
- Must have shipped products at meaningful scale at strong B2C or B2B companies in India
- Hands-on AI familiarity (agents, context windows, trade-offs) required
- High ownership and agency expected
- Work on problems with population-scale impact
- AI-first approach in all aspects of work
Role overview
Sarvam is building the bedrock of Sovereign AI for India, developing a full-stack sovereign AI platform across research, models, infrastructure, and applications. The company partners with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. This role is for product managers who are builders first—individuals who engage deeply with customers, ship real products, and understand AI systems in production. The position spans consumer AI products, enterprise platforms, developer tools, speech and voice systems, or edge deployments, depending on the candidate's strengths and interests.
Responsibilities
- Own a product area end-to-end — talk to users, write specs, define success metrics, ship, and measure outcomes
- Get into the details of how AI systems behave in production: prompt design, model selection, latency budgets, failure modes, and eval pipelines
- Write code, prompts, and copy when that's the fastest path to learning or validating an idea
- Set up funnels, write queries, and instrument events to diagnose what's working and what's broken
- Work directly with engineering, design, and leadership — no layers, no hand-offs
- Ship product every week, not plans
Requirements
- 3–7 years of product management experience; you have shipped real products at meaningful scale at strong B2C or B2B companies in India
- Currently a product manager — this role is not for people transitioning from consulting, project management, or program management
- Hands-on familiarity with AI: you've built agents, understand how context windows work, and have thought through trade-offs like cost vs. latency vs. accuracy
- Strong data skills: comfortable writing SQL, setting up funnels from scratch in PostHog, Mixpanel, or similar tools, and defining meaningful success metrics (not vanity numbers)
- Strong product thinking: you start with the customer's problem, talk to users regularly, can structure vague problem spaces, and ship v1 without over-engineering
- Systems thinker: you see the handshakes between components, the failure modes, and the dependencies when you look at a product
- High ownership, high agency: you don't wait for permission, you solve problems, and you've stayed up to fix something because you couldn't let it stay broken
- Clear communicator: you can explain complex technical concepts simply — to engineers, leadership, and users alike
Nice to have
- You've built at least one working AI agent end-to-end — not a demo, something that actually does a job
- You've used tools like Claude Code, built skills, or set up agentic workflows, and have opinions on when to use agents vs. simpler approaches
- You have side projects, open-source contributions, or products shipped outside of work
- You can point to 2–3 things in your life — product or otherwise — where you went deep and had real impact
Benefits
- Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
- High ownership and high impact, from day one
- Everything we do is AI-first, from the way we build and ship to the way we think about problems
- You can work on problems that could change how an entire country learns, works, and communicates
Additional details
- Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures
- Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC
- Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact