Product Manager, Workspace Search

Google Google · Big Tech · Bengaluru, Karnataka, India

Product Manager for Workspace Search, focusing on improving search quality for human users and enabling agentic users to retrieve and utilize Workspace data. This role involves defining intelligent systems, developing APIs for agents, and driving the strategy for automated evaluation frameworks, working at the intersection of Search and AI.

What you'd actually do

  1. Lead the product lifecycle for search within Workspace apps. Identify opportunities and deliver features to improve search quality and enhance the user experience across existing and emerging surfaces, including Generative AI features.
  2. Develop and launch the API offering to provide agents with effective access to Workspace search results, unlocking new use cases and integrations.
  3. Institute the processes for experimentation, evaluation, and iteration on search quality, leveraging user feedback, data analysis, and A/B testing. Drive the strategy and implementation of automated evaluation frameworks, particularly for novel search scenarios and greenfield projects, to ensure consistent quality and velocity.
  4. Define and track key search success metrics to inform product decisions, measure impact, and communicate progress. Collaborate and influence a wide range of cross-functional teams, including Engineering, UX, Research, Marketing, and Leadership, to build consensus and drive execution.

Skills

Required

  • product management
  • technical role experience
  • taking technical products from conception to launch
  • defining search quality
  • user experience enhancement
  • API development
  • agentic user enablement
  • experimentation processes
  • evaluation processes
  • A/B testing
  • automated evaluation frameworks
  • search success metrics
  • cross-functional collaboration
  • Engineering collaboration
  • UX collaboration
  • Research collaboration
  • Marketing collaboration
  • Leadership collaboration

Nice to have

  • designing and implementing automated evals
  • building and expanding productivity software
  • understanding of market drivers and user needs
  • expanding AI technologies and APIs
  • knowledge in AI/ML
  • managing product road maps
  • executing complex launches
  • understanding of search technologies
  • ranking algorithms
  • indexing
  • search and engagement metrics
  • excellent communication skills
  • articulate direction
  • influence stakeholders
  • navigate complex organizational landscapes

What the JD emphasized

  • 8 years of experience in product management or related technical role
  • 3 years of experience taking technical products from conception to launch
  • Experience designing and implementing automated evals
  • Experience in expanding the AI technologies and APIs
  • Understanding of search technologies, ranking algorithms, indexing, and search and engagement metrics

Other signals

  • defining how intelligent systems convert information to action for users
  • build new search offerings to improve search quality for human users and expand the Search for agentic users
  • Develop and launch the API offering to provide agents with effective access to Workspace search results
  • Drive the strategy and implementation of automated evaluation frameworks