AI Product Manager I

Technology, Data & Digital · Product & Design · Product Management · Artificial Intelligence · Data Science

In short

This role owns the end-to-end execution of AI-driven product features and solution increments, bridging product definition and scaled delivery. It translates product vision into structured execution plans and measurable outcomes, acting as a techno-functional anchor for AI/GenAI/Agentic AI solutions.

Responsibilities

Translate product vision and business priorities into detailed execution plans, user stories, and prioritised backlogs for AI-driven features and solution components.
Drive end-to-end feature delivery ownership, including scope definition, sprint planning, dependency tracking, and milestone adherence.
Collaborate with engineering, architecture, and data teams to ensure technical feasibility, scalable design, and efficient iteration cycles.
Define and track execution metrics, quality benchmarks, and release readiness criteria (performance, reliability, safety, and adoption).
Manage cross-functional dependencies across engineering, GTM, alliances, and practice teams to maintain delivery cadence and minimise execution risks.
Embed Responsible AI practices through structured checkpoints, evaluation frameworks, and governance guardrails within delivery workflows.
Support adoption and scale by aligning product releases with GTM readiness, enablement, and stakeholder communication.
Leverage hyperscaler and partner ecosystems (Azure, AWS, Google Cloud, OpenAI, NVIDIA, etc.) to enable enterprise-ready AI deployments.
Monitor post-release performance and drive continuous improvements using data-driven insights and operational feedback loops.

Requirements

BE / BTech / MBA or equivalent with strong grounding in technology-led product execution and AI solution delivery.
12 to 15 years of experience in product management, solution ownership, or techno-functional roles across IT services, platforms, or AI-driven products.
Hands-on experience delivering AI / GenAI / Agentic AI solutions across enterprise environments.
Exposure to hyperscaler ecosystems and AI service stacks, with understanding of scalable deployment and integration patterns.
Demonstrated ability to manage cross-functional execution, dependencies, and stakeholder alignment in complex delivery environments.
Strong understanding of product lifecycle from build to release to scale, including readiness and adoption considerations.

Desired Qualifications

Drive predictable execution of AI product features through structured planning, milestone tracking, and disciplined delivery.
Improve delivery velocity and quality by proactively managing dependencies, risks, and execution bottlenecks.
Enable repeatable and scalable deployment patterns across AI solutions through standardised execution practices.
Strengthen adoption and business impact by aligning releases with GTM readiness and stakeholder needs.
Enhance visibility and control through metric-driven tracking of progress, quality, and outcomes.

Benefits

Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion.

Skills

AIGenAIAgentic AIProduct ManagementAzureAWSGoogle CloudOpenAINVIDIA

#AI#Product Management#GenAI#Agentic AI#Noida#Pune#India

About HCLTech

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HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…

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