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LTM

Head of Product

Actively Reviewing

LTM

Mumbai Full-Time 4–8 yrs exp Posted 8 hours ago  · Apply by Sep 14, 2026

Role Summary

Lead the product vision, strategy and execution for an enterprise AI platform. Own the end-to-end product lifecycle from market discovery and customer engagement through roadmap definition, feature prioritization and product launches. Partner closely with Business, Engineering, Solution Architecture, AI, Design and Customer Success to build AI-native products that solve real enterprise workflow problems and deliver measurable business outcomes.

Key Responsibilities

  • Define and own the long-term product vision, strategy and roadmap.
  • Translate market opportunities and customer problems into scalable AI products.
  • Lead product discovery, customer interviews, competitive analysis and product positioning.
  • Prioritize features based on customer value, technical feasibility and business impact.
  • Own Product Requirement Documents (PRDs), feature specifications and release planning.
  • Collaborate with Engineering, Solution Architects, AI Engineers and Business Analysts throughout the product lifecycle.
  • Drive product adoption, customer success and continuous product improvement.
  • Represent the product in executive reviews, customer meetings and analyst discussions.

AI Product Responsibilities

  • Define AI-first workflows and enterprise automation opportunities.
  • Identify where AI creates measurable business value and operational efficiency.
  • Prioritize AI capabilities such as copilots, agentic workflows, semantic search, recommendations and automation.
  • Work with Solution Architects to define business rules, workflow orchestration and AI integration strategies.
  • Establish product success metrics for AI quality, adoption, latency, accuracy and customer outcomes.

Product Leadership

  • Build and mentor Product Managers, Business Analysts and Product Owners.
  • Establish product operating cadence, governance and roadmap reviews.
  • Drive cross-functional alignment across Sales, Marketing, Engineering and Delivery.
  • Balance innovation, customer commitments and technical debt.

Required Skills

  • Enterprise SaaS product management.
  • AI platform strategy, workflow automation and enterprise software.
  • Strong understanding of APIs, cloud platforms, microservices and AI ecosystems.
  • Experience with Agile, Scrum, product analytics and customer discovery.
  • Excellent executive communication, stakeholder management and commercial acumen.
  • Ability to define product KPIs and measure business outcomes.

AI-Driven Product Engineering Practices

  • Experience leveraging AI tools for product discovery, PRD creation, roadmap planning and competitive analysis.
  • Use AI assistants to accelerate requirement generation, user story creation, documentation and market research.
  • Strong understanding of AI-assisted software development practices to effectively collaborate with engineering teams.
  • Knowledge of prompt engineering and AI governance from a product management perspective.
  • Drive adoption of AI-native product development methodologies across the product organization.

Preferred Experience

  • Enterprise AI platforms, Media & Entertainment, OTT, AdTech, Digital Asset Management, workflow automation or large-scale B2B SaaS.

Success Measures

  • Successful delivery of high-impact AI products.
  • Customer adoption and product usage growth.
  • Achievement of product revenue and business KPIs.
  • Predictable roadmap execution and stakeholder satisfaction.
  • Strong collaboration across Product, Business and Engineering.