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AI Product Manager, Enterprise AI Platform

Own the product vision and roadmap for an enterprise AI platform. Translate business problems into AI-powered product solutions, bridging data science, engineering, legal, and business stakeholders to deliver AI features that create measurable commercial outcomes.

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About This Role

The AI Product Manager is the role GCCs are struggling most to fill in 2026, it requires rare combinations of product instinct, AI/ML literacy, domain knowledge, and stakeholder communication. You will own the product for an internal or customer-facing AI platform, working at the intersection of what AI can do, what users need, and what the business can deliver. This is a senior PM role for someone who understands both the opportunity and the operational complexity of production AI.

What You Will Do

  • Own the product vision, strategy, and roadmap for an enterprise AI platform or AI-powered product capability
  • Define AI use cases with rigorous business case analysis, quantified impact, measurable success metrics, and realistic feasibility assessment
  • Work directly with data scientists and ML engineers to translate business requirements into technical specifications, understanding model limitations, training data requirements, and inference constraints
  • Own the user experience of AI features, designing for trust, explainability, and appropriate human-in-the-loop workflows
  • Lead cross-functional alignment across data science, engineering, legal, compliance, and business stakeholders
  • Define and own AI product metrics, model performance KPIs, user adoption, business impact, and responsible AI compliance measures
  • Build and maintain the AI product backlog, prioritising based on business value, technical readiness, and risk
  • Drive AI governance and responsible AI practices in product decisions, fairness, interpretability, bias mitigation
  • Conduct user research and stakeholder interviews to identify high-leverage AI opportunities within the domain
  • Communicate AI product progress and impact to executive stakeholders, translating technical complexity into business narrative

What You Need to Succeed

  • 6+ years of product management experience with 2+ years working directly on AI/ML products in production
  • Strong AI/ML literacy, ability to engage substantively with data scientists and engineers on model design, training, evaluation, and deployment constraints
  • Proven ability to define and quantify business impact of AI features, not just feature delivery metrics
  • User experience and human-centred design sensibility for AI products, trust, transparency, appropriate automation
  • Excellent cross-functional stakeholder management, comfortable operating across engineering, legal, compliance, and business leadership
  • Strong analytical skills, SQL proficiency, data analysis capability, metrics-driven decision making
  • Experience with agile product development in complex, multi-team environments
  • Executive communication skills, written and verbal, for both technical and non-technical audiences

What Will Give You an Edge

  • Domain depth in BFSI, Healthcare, or Hi-Tech, understanding of sector-specific AI use cases, regulations, and constraints
  • Experience with responsible AI frameworks, algorithmic fairness, model interpretability, AI governance
  • Technical background, engineering or data science experience before transitioning to product
  • Experience building AI products for regulated industries where explainability is a compliance requirement
  • MBA from a leading institution or equivalent analytical training

What Qfyre Offers

  • AI product ownership with genuine commercial accountability, not just feature roadmapping
  • High-visibility mandate at the intersection of AI capability and business strategy
  • Competitive senior PM compensation reflecting acute market scarcity for this profile
  • Hybrid working with significant stakeholder engagement at executive level

Skills and Technologies

AI ProductProduct ManagementLLMRoadmapStakeholder ManagementGenAI
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FAQ

Questions About This Role

Common questions from candidates and applicants.

What does the application process look like for the AI Product Manager, Enterprise AI Platform role?+

Submit your application via the form on this page. A Qfyre domain specialist will review your profile, not an automated keyword filter, and will be in touch within two business days if there is a strong fit. We may arrange a brief introductory call before presenting your profile to the client.

Is this AI Product Manager, Enterprise AI Platform role a permanent position or contract?+

This is a Full Time position based in Bengaluru. The working mode is Hybrid. Specific contract terms and benefits are discussed during the briefing process once your profile has been reviewed.

What experience level is required for the AI Product Manager, Enterprise AI Platform role?+

This role requires 6–10 years of relevant experience. The specific technical requirements and domain expectations are outlined in the full job description above. If your experience is slightly outside the stated range but you have strong relevant capability, we encourage you to apply, we assess profiles holistically, not against a checklist.

Does Qfyre assist with relocation for this role?+

Relocation support varies by client and mandate. Mention your relocation preferences in the application form and our team will clarify the client's position during the initial briefing. Most of our GCC and enterprise clients have structured relocation support programmes for senior hires.