Director of AI – Product Strategy

Director of AI – Product Strategy

Location: [Bangalore] | Level: Director | Type: Individual Contributor | Reports to: Product Operations Office

About the Role

We are looking for a visionary Director of AI – Product Strategy to define and drive our AI-native product strategy across our entire product portfolio. This is a high-impact, highly visible individual contributor role that sits at the intersection of product strategy, AI innovation, and organizational transformation.

You will serve as the AI strategy authority for all product lines — setting the vision, governance, and framework that empowers individual Product Heads to embed AI natively into their roadmaps. You will work shoulder-to-shoulder with our Chief Product Architect to build scalable, velocity-enabling architectures and actively champion the adoption of AI tools to augment the productivity of every Product Manager in the organization.

This role is not about managing people — it is about managing ideas, influence, and impact at scale.

What You'll Do

? AI-Native Product Strategy & Governance

• Define and own the company-wide AI-native product strategy, establishing a clear framework that guides how each product line integrates AI into its core value proposition.
  

• Develop and maintain an AI governance model — including principles, guardrails, evaluation criteria, and prioritization frameworks — that enables Product Heads to make confident, consistent AI adoption decisions.
  

• Continuously scan the market for emerging AI disruptions, synthesize their implications, and translate them into actionable strategic guidance for product teams before disruption hits.
  

• Author and maintain the AI Product Playbook — a living document of best practices, patterns, and standards for AI-native feature development across the portfolio.
  

?️ Portfolio-Level Roadmap Enablement

• Partner closely with each Product Head to help them identify and prioritize AI-native opportunities within their domain, ensuring roadmaps reflect both near-term adoption and long-term differentiation.
  

• Lead AI opportunity assessments across product lines — identifying capability gaps, competitive threats, and whitespace where AI can create measurable user and business value.
  

• Establish a portfolio-level AI roadmap view that surfaces interdependencies, shared capabilities, and opportunities for cross-product leverage.
  

• Run regular AI strategy reviews with product leadership to evaluate roadmap alignment, track adoption progress, and course-correct in real time.
  

?️ Architecture & Scalability (in Partnership with Chief Product Architect)

• Serve as the strategic product counterpart to the Chief Product Architect, ensuring AI architecture decisions are grounded in product strategy, user outcomes, and development velocity goals.
  

• Co-develop a scalable AI platform architecture that reduces time-to-market for AI features, promotes reuse of models and infrastructure, and reduces per-product build complexity.
  

• Champion the adoption of shared AI services, APIs, and model layers across the portfolio to eliminate redundancy and increase delivery speed.
  

• Evaluate and recommend third-party AI platforms, model providers, and tooling to accelerate product development without sacrificing strategic control.
  

? PM Productivity & AI Tooling Adoption

• Lead the initiative to augment Product Manager productivity through the systematic adoption of AI tools — covering research synthesis, PRD generation, competitive analysis, user feedback analysis, sprint planning, and more.
  

• Identify, pilot, and scale AI tools and workflows that measurably reduce PM toil and redirect team energy toward higher-order strategic thinking.
  

• Build a culture of AI-first working habits within the product organization through enablement sessions, tool onboarding, templates, and shared repositories.
  

• Measure and report on PM productivity uplift as a key organizational metric tied to AI adoption.
  

? Executive & Customer Engagement

• Serve as a trusted AI thought leader who can fluently engage C-suite executives, both internally and with customers, on AI product vision, strategy, and competitive positioning.
  

• Lead customer discovery conversations focused on understanding AI-driven pain points, emerging expectations, and opportunities — feeding insights directly into strategic guidance for product teams.
  

• Influence and align cross-functional leaders — Engineering, Design, Data Science, Sales, Marketing — to drive coherent, company-wide AI transformation.
  

• Represent the company's AI product strategy in external forums, analyst briefings, and customer advisory boards.
  

Key Deliverables

Deliverable

Cadence

Company-wide AI Product Strategy Document

Annually, refreshed semi-annually

AI Governance Framework & Decision Criteria

Within first 90 days, maintained ongoing

Portfolio AI Roadmap (cross-product view)

Quarterly

AI Disruption Radar & Market Signals Report

Monthly

AI Product Playbook (best practices & patterns)

Ongoing / living document

PM AI Tooling Adoption Scorecard

Quarterly

AI Architecture Strategic Requirements (with Chief Product Architect)

Per planning cycle

Executive & Customer AI Briefings

Monthly / On-demand

What We're Looking For

Experience

• 10+ years in product management, product strategy, or technology strategy roles, with at least 3–5 years in AI/ML-driven product development.
  

• Demonstrated experience defining and executing AI-native product strategies — not just adding AI features, but reimagining products around AI capabilities.
  

• Proven track record of influencing without authority — driving alignment across product teams, engineering, and executive stakeholders in complex, matrixed organizations.
  

• Experience engaging directly with enterprise customers and C-level executives to shape AI-driven product vision.
  

• Prior work with or alongside platform/architecture teams to shape scalable technical foundations for product development.
  

Skills & Capabilities

• Deep AI/ML product fluency — you understand LLMs, generative AI, agentic workflows, RAG, fine-tuning tradeoffs, and emerging AI tooling well enough to drive credible strategy and architecture conversations.
  

• Exceptional strategic thinking and synthesis — you can take complex, fast-moving signals from the market and distill them into clear, actionable strategies.
  

• Strong executive communication and storytelling — your narratives are crisp, compelling, and calibrated for the audience.
  

• A builder's mindset — you are hands-on with AI tools in your daily work and thrive on improving your own productivity through them.
  

• Collaborative, curious, and comfortable with ambiguity and rapid iteration.
  

Preferred

• Experience in a multi-product or platform company with portfolio-level responsibility.
  

• Background in developer tools, SaaS, or enterprise software where AI is reshaping the competitive landscape.
  

• Familiarity with product-led growth and modern AI product metrics.
  

• MBA or advanced degree in a relevant technical or business discipline (not required).
  

Why This Role

• Strategic leverage at scale: Your decisions ripple across every product line in the portfolio.
  

• Executive visibility: Direct access to and influence over CPO, CTO, and C-suite.
  

• Own the AI future: Shape how an entire organization responds to the most transformative technology shift of our generation.
  

• No bureaucracy: Individual contributor with organizational authority — you build, advise, influence, and execute without management overhead.