6+ years
Full Time
Onsite
Senior Product Manager
India
5 days ago
About the role
You will own the behaviour of a specific AI system or workflow inside a larger product. You will work with a team and a defined set of internal stakeholders. Your primary stakeholders are business teams who will use the workflow and engineering teams who will build it. You will be responsible for creating a spec that the business teams can approve and engineering teams can build efficiently. Your success is measured by whether the AI system behaves as specified in production over time.
You will work with QA and engineering to build and review evaluations. This is a critical part of the role. Evaluations are how you verify the AI system keeps behaving as specified once it's live.
Building a working understanding of how AI systems work, and what that means for product and analytics, is critical to this role. You will also act as a proxy for the business team and run UAT.
Alongside that, the role carries the usual weight of product ownership: picking up an unfamiliar domain fast, holding the line on scope, and keeping stakeholders aligned on what is shipping and when.
What you will own
Backlog and delivery
Own and prioritise the backlog for your system; run refinement, planning, and acceptance with the delivery team. You could also be running kanban boards for your team for a fast paced project.
Turn business requirements into AI system requirements for the engineering team.
The requirements should meet the Jeavio guardrails of AI governance, privacy, security and
What you'll do
- ChatGPT or Claude including an understanding of skills, plugins, and context management.
- Demonstrable understanding of how LLMs work and how they impact product decisions
- Demonstrated ability to write acceptance criteria for a non-deterministic output.
- Working fluency in Evals.
- Judgment about where human in the loop use case fits in.
- Strong written communication.
- Should be able to keep up with evolving trends and is open to unlearn and learn quickly.
Nice to have
- Experience with agentic systems: tool use, multi-step orchestration, retrieval, or observability tooling.
- Familiarity with our stack: AWS, Claude, LangSmith, JIRA.
Skills & keywords
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