AI Product Manager-Senior Associate

PwC; Kolkata District, Hyderabad, Bengaluru; Hybrid; INR 800,000 - 1,800,000; Full time

Job summary

PwC is seeking a product-focused professional to own the end-to-end product surface, from discovery through launch, and to work closely with business and technical stakeholders. The role emphasizes hands-on use of AI tools within the workflow, along with a strong emphasis on data-driven decision making and measurable outcomes.

The ideal candidate can read PRDs, craft clear acceptance criteria, and discuss AI model behavior, including accuracy, cost, and latency, while collaborating across

Qualifications

• Strong product fundamentals and roadmap ownership.
• Elicits needs from business and technical stakeholders and writes clear PRDs and acceptance criteria.

Skills

Product fundamentals

Stakeholder management

AI tools in workflow

AI evaluation

Data-informed decisions

Design and UX instinct

Domain expertise

Technical background

PRD & acceptance criteria

Tools

PRD tools

Job description

Strong product fundamentals & product sense owns a product surface end-to-end: discovery, roadmap, prioritization, launch, iteration.

Requirements and stakeholder craft elicits needs from business and technical stakeholders, writes clear PRDs and acceptance criteria, and manages senior stakeholders and clients with honesty and calibration.

Hands-on with AI tools in their own workflow has used AI-assisted tooling to produce working prototypes, wireframes, or internal tools themselves.

Practical understanding of how AI products behave knows outputs are probabilistic, has thought about how to tell whether a model's answers are actually good, and can talk sensibly about accuracy, cost, latency, and where AI is the wrong tool.

Data-informed decision-making defines metrics before building, runs experiments, reads a funnel, and connects product decisions to business outcomes.

Good-to-have

Design and UX instinct — comfortable producing high-fidelity interactive wireframes and reasoning about interaction patterns.

Domain expertise— financial services, healthcare, energy, manufacturing, public sector.

Depth in AI evaluation — has built or specified test sets and quality benchmarks for generative & agentic features.

Technical background — engineering, data, or solution-architecture history; enough code fluency to read a PR and challenge an architecture.