Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. 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.
We're looking for product managers who are builders first — people who talk to customers constantly, ship real product to real users, and get into the details of how AI systems behave in production. This is not a role tied to one specific product line. Based on your strengths and interests, you could work across consumer AI products, enterprise platforms, developer tools, speech and voice systems, or edge deployments.
You have 3–7 years of product building experience, have shipped products at meaningful scale at strong B2C or B2B companies in India, and have real, hands-on familiarity with how AI products work under the hood.
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
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 — experience with evals, tool calling, or agentic workflows is a strong plus
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
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
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.
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
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Sarvam is an AI company focused on building and deploying large language models (LLMs) for India. They aim to create AI solutions tailored to the Indian market, covering various aspects of the dubbing and content creation stack.