We are seeking a Agile Product Manager with approximately 10+ years of experience in the field. Owns the product outcome of an AI engagement — turning business goals into a prioritized, testable backlog, holding the line on what "working" means for a non-deterministic system, and driving adoption once it ships.

Responsibilities:

- Own the product backlog for AI engagements — outcome-framed epics, prioritized by value, feasibility and risk

- Translate business outcomes into AI use cases with explicit success criteria and acceptance thresholds

- Run discovery with client stakeholders and users to separate real problems from AI-shaped solutions

- Define what "good enough" means for a non-deterministic system, with AI Assurance and the client jointly

- Own the release plan across PoC, pilot and scale, including human-in-the-loop and fallback behaviour

- Prioritize data readiness and integration work alongside model work, not after it

- Run sprint ceremonies for the delivery pod and keep the team unblocked against a single set of priorities

- Manage scope, timeline and client expectations when model performance is uncertain

- Own adoption and change management — training, rollout comms, and measuring real usage

- Track value realization post-launch and feed it back into the roadmap

- Own responsible-AI and governance sign-off in the delivery flow, with Governance and Security

- Report progress,



risk and outcomes to client and firm leadership

Requirements:

- 10+ yrs product management or product ownership, including 3+ yrs on AI/ML or data-intensive products

- Fluent in agile delivery (Scrum/Kanban/SAFe) and comfortable owning a backlog under real timeline pressure

- Understands the AI delivery lifecycle — data readiness, evaluation, deployment, monitoring, retraining

- Technically literate enough to challenge feasibility, cost and latency claims without designing the solution

- Comfortable writing acceptance criteria for probabilistic outputs — thresholds, guardrails, escalation paths

- Familiar with AI eval and observability practices well enough to act on the results

- Working knowledge of responsible-AI, privacy and governance obligations in regulated environments

- Robust discovery and facilitation skills — workshops, interviews, prioritization with senior stakeholders

- Data-literate on outcome measurement — instrumentation, adoption metrics, benefit tracking

- Clear communicator who can hold a client to a decision and say no to scope that will not deliver value

- Experience running change management and adoption for a system that alters how people work
- Success metrics: value realized against the business case · adoption/active usage post-launch · release predictability across PoC to scale · client-reported clarity of scope and priorities

📌 Agile Product Manager (Maharashtra)
🏢 Systems
📍 Maharashtra