Gen AI-Product Management

Pwc India; Gurugram District; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

PwC India in Gurugram is hiring experienced AI Product Management professionals. As a Senior Associate, you will work hands-on with product, engineering, design and client teams to take product capabilities from discovery through delivery and adoption.

You will also support GenAI POCs and help convert reusable components into capabilities within the product portfolio. You will conduct user and client discovery, structure problem statements, create PRDs and user stories, manage the backlog, and

Qualifications

• Experience in product management, discovery, PRDs or user stories, backlog management, UAT, delivery and iteration.
• Hands-on experience building or supporting AI or GenAI products, prototypes or POCs.
• Knowledge of LLMs, RAG, agentic workflows, APIs and data flows is expected.

Responsibilities

• Conduct user and client discovery, structure problem statements and map journeys.
• Create PRDs, user stories, acceptance criteria and process flows; maintain backlog and plan sprints.
• Work with engineers and designers to move features from definition to build, UAT, release and iteration.
• Track adoption, usage, and AI consumption; propose product improvements.
• Support design of AI agents and human‑in‑the‑loop experiences, including guardrails and observability.

Skills

Product management

User stories

Backlog management

AI/GenAI

APIs

Tools

PRDs

UAT

Job description

PwC India is Hiring | AI PRODUCT MANAGEMENT
Exciting opportunities are open across India for experienced professionals looking to build their careers into Artificial intelligence
Location-Gurugram
Experience-4 to 10 Years
Level-Senior Associate & Manager

THE ROLE

PwC's AI Product Practice builds and productizes AI products, platforms and reusable capabilities for
enterprise clients. As a Senior Associate, you will work hands‑on with product, engineering, design and
client teams to take product capabilities from discovery through delivery and adoption. You will also
support GenAI POCs and help convert reusable components into capabilities within the product portfolio.

WHAT YOU WILL DO

Conduct user and client discovery. Structure problem statements, map journeys and translate insights into
product requirements and measurable success criteria.
Create PRDs, user stories, acceptance criteria and process flows. Maintain the backlog and support prioritization,
sprint planning and scope decisions.
Work with engineers, designers and architects to take features from definition through build, UAT, release and
iteration.
Track adoption, usage, task success, quality, reliability and AI consumption. Use data and user feedback to
identify issues and recommend product improvements.
Support the design of AI agents, RAG workflows and human‑in‑the‑loop experiences, including evaluations,
guardrails, failure handling and observability.
Translate client problems into GenAI POCs and demos. Define user flows, value hypotheses and success criteria,
and identify components that can be reused across products or clients.

WHAT WE ARE LOOKING FOR

410 years of experience(2 to 7 Years of relevant experience) in product management, business analysis or related roles, working on
technology products, including retail, e-commerce, B2B or enterprise products.
Hands-on experience with product discovery, requirements, PRDs or user stories, backlog management, UAT,
product delivery and iteration.
Hands-on experience building or supporting AI or GenAI products, prototypes or POCs. Working knowledge of
LLMs, RAG, agentic workflows, APIs and data flows is expected.
Ability to work across business, design and engineering teams and communicate clearly through product
documentation, demos and presentations.
Strong analytical and structured problem-solving skills, with the ability to convert ambiguous problems into clear
product requirements and actions.
Willingness to learn quickly and build depth across evolving AI technologies, product practices and enterprise use
cases.
Preferred: exposure to AI evaluation, observability, Responsible AI, cloud AI platforms