Senior Technical Product Manager (search and Ai)

Autodesk Autodesk · Enterprise · Pune, India

Senior Technical Product Manager to define and drive the next generation Knowledge & Information Retrieval Platform at Autodesk, powering AI-native, semantic, and agentic discovery experiences across Autodesk products and ecosystem. This role will lead and drive next gen AI enabled search experiences and underlying platform capabilities, building a roadmap that articulates technical investments and business outcomes.

What you'd actually do

  1. Define and execute on a multi-year strategy and roadmap for Autodesk’s Knowledge Retrieval Platform, improving discoverability, relevance, and AI-readiness of platform data across products
  2. Agentic Enablement - Define retrieval interfaces and APIs optimized for AI agents and copilots (access methods, standards, API design and SLOs)
  3. Own & Track Quality Metrics - Define and track relevance, precision/recall, latency, freshness, and AI grounding metrics
  4. Drive roadmap for advance AI powered search across structured data, unstructured docs, CAD models, and 3D assets
  5. Develop and manage relationships with architecture, engineering, and product teams to deliver customer outcomes

Skills

Required

  • Product management experience in platform or infrastructure products
  • Search, information retrieval, and AI-powered discovery systems
  • Indexing, query patterns, ranking and relevance systems
  • Semantic/vector search
  • Multi-modal
  • Knowledge graphs
  • Hybrid ranking systems
  • Contextual personalization
  • LLM-grounded retrieval architectures (RAG, GraphRAG)
  • Technical product requirement documents(PRDs)
  • Prioritization, relationship building, and organization skills
  • Storytelling
  • Leading and influencing cross-functional teams, stakeholders and junior team members
  • Managing risk, and ambiguity
  • Collaborate with a global team

Nice to have

  • Open Search or Elastic
  • A/B testing and experimentation
  • Parametric BIM tools like Revit
  • Managing large amounts of AEC and Manufacturing data
  • Applying industry standards (e.g., IFC, USD, 3DTiles, UK BIM standards etc.) to data
  • Scrum/agile methodologies

What the JD emphasized

  • 4+ years in search, information retrieval, and AI-powered discovery systems
  • Deep familiarity with modern information retrieval systems including semantic/vector search, multi-modal, knowledge graphs, hybrid ranking systems, contextual personalization, and LLM-grounded retrieval architectures (RAG, GraphRAG)
  • Experience launching AI-native retrieval systems for AI copilots and agents, at scale

Other signals

  • AI-native discovery experiences
  • agentic discovery experiences
  • AI enabled search experiences
  • AI agents and copilots
  • LLM-grounded retrieval architectures