AI Product Manager I

HCLTech·India·Onsite

Senior Product ManagerAI

Experience

6+ years

Employment

Full Time

Work mode

Onsite

Level

Senior Product Manager

Location

India

Posted

Yesterday

About the role

AI Product Manager I

| Pune, MaharashtraNoida, Uttar Pradesh

Job Summary

This role operationalises the definition and delivery of AI‑driven product features by translating product insights into actionable requirements and prioritised roadmaps. The role partners closely with engineering, architecture, practice leaders, and ecosystem partners to deliver scalable, reliable, and responsible AI capabilities. This position requires strong techno‑functional acumen, data‑driven execution, and ownership of outcomes across delivery, adoption, and business impact.

Key

What you'll do

Translate business and product insights into clear product requirements, user stories, and prioritised backlogs for AI‑driven features and automation frameworks. · Collaborate with engineering teams and architects to define technical feasibility, scope boundaries, iteration plans, and delivery milestones for AI capabilities. · Define and track success metrics, acceptance criteria, and telemetry signals covering performance, quality, safety, and adoption outcomes. · Coordinate cross‑functional execution across engineering, GTM, alliances, and practice teams to maintain delivery cadence and stakeholder alignment. · Support Responsible AI readiness by embedding risk
Skill

What you'll bring

BE / BTech / MBA or equivalent, with a strong foundation in technology led product delivery or AI driven solution development.
6+ years of experience in product management, solution ownership, or techno functional roles within IT services, platforms, or AI led products.
Hands on experience working with generative AI, ML enabled solutions, or intelligent automation use cases across enterprise environments.
Exposure to hyperscaler platforms (Azure, AWS, Google Cloud) and familiarity with AI service stacks, tooling, and partner ecosystems.
Demonstrated ability to work across engineering, architecture, and business stakeholders to drive execution and measurable outcomes.
Other
Product Requirement Definition, AI Product Delivery, Techno Functional Analysis, Roadmap Prioritisation, Cross functional Execution, Responsible AI Governance, Hyperscaler & Partner Ecosystems, Data driven Decision Making, Stakeholder Management