Product Manager, Enterprise AI Platform (Bengaluru)

We Are Hiring | Product Manager, Enterprise AI Platform | Bengaluru
About ReN3
ReN3 is a sovereign AI platform for the enterprise, built to unify an organization's knowledge and let teams execute AI-powered work under strict governance and access control. The platform runs in air-gapped, private-cloud, or other sovereign environments, so sensitive data never leaves the client's own infrastructure. ReN3 works with government, banking and financial services, insurance, healthcare, manufacturing, and construction clients, and partners with major infrastructure and cloud providers on deployment.
About the Role
As a Product Manager, you will own a product area from start to finish: the customer problem, the spec, the build, the eval, the release and adoption. You will work directly with engineers, the field team and customers. You create your own path, even when there’s no roadmap to follow, and stand confidently by the choices you make.
Key Responsibilities
Own one or two product areas. Examples: agents and workflows, knowledge ingestion and search, or admin and governance.
Turn customer reality into decisions. Join customer calls, read RFPs and field requests, and decide what to build, what to defer and what to refuse.
Write specs that ship. Your specs cover acceptance criteria, edge cases, permission rules, empty states and failure states. They should be clear enough for a coding agent to build from and for an engineer to review against.
Build things yourself. Use coding agents to make prototypes, internal tools, scripts and small product fixes. Opening a PR for a copy change or a UI tweak is part of the job.
Define quality for AI features. Build eval sets and golden prompts. Measure answer quality, latency and cost. Make ship or no-ship calls from data, not from a good demo.
Run releases. Prioritise, cut scope, write release notes, and equip the field team to sell, deploy and support what shipped.
Measure adoption. Know which features customers use, which they don't and why.
What We're Looking For
Must-have
Based in Bengaluru
3–5 years in product management, at least 2 of them on B2B SaaS, developer or platform products. Engineers and founders who moved into product are welcome.
Daily use of agentic coding. You have shipped something real, mostly built with coding agents: a prototype, an internal tool or a side project. You can show it and explain where the agent went wrong.
A working understanding of LLM products: retrieval (RAG), tool calling, context limits, hallucination and evals. You know why a demo that works 8 times out of 10 is not yet a product.
High agency. Take initiative, solve problems, deliver results, adapt quickly, and own your outcomes.
Clear writing. Short specs, crisp decisions, no filler.
Comfortable with enterprise requirements: SSO, roles and permissions, audit logs, data residency and security questionnaires.
Nice-to-have
Experience using evaluation tooling such as promptfoo, Braintrust or LangSmith.
Experience with enterprise sales cycles, RFPs or tenders.
Products shipped into banking, government or other regulated industries.
How to apply
Submit your resume (more specifications below).
Ensure your resume includes a link to something you built mostly with coding agents (a repo, a live URL or a 3-minute Loom).
Ensure your resume includes a short paragraph on one thing the agent got wrong and how you caught it.

Work arrangement
Hybrid