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 "positive 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
📌 Agile Product Manager (India)
🏢 Systems
📍 India