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Principal Product Manager II, AI/Vectors - Elasticsearch

Elastic· Enterprise Search - Product Management
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Hybrid (Canada)CA$192.5k - CA$304.5kFull-timePosted 5d ago

About the role

Senior product leader responsible for strategy and roadmap for Elastic's embedding/reranking, vector database, and related AI/vector capabilities, including vector indexing, hybrid retrieval, and end-to-end retrieval quality.

Responsibilities

  • Conduct market research to uncover emerging trends in search/vector databases and SOTA model research for unstructured data
  • Evaluate competitive landscape and develop user personas to guide feature decisions
  • Collaborate with cross-functional teams to align product strategy with business goals and prioritize features based on feedback
  • Establish long-term product goals and milestones for vector use cases and AI/unstructured data management; prioritize features and manage resources to deliver timely updates
  • Own the vision, strategy, and multi-quarter roadmap for Elastic's vector database and core search use cases, from indexing internals to APIs/SDKs
  • Partner with engineering and applied research on trade-offs; define and defend metrics (recall, latency, index size, ingestion throughput, total cost of ownership)
  • Define unified strategy and roadmap across embedding/reranking models, vector indexing/semantic ingestion, model lifecycle, and retrieval quality
  • Manage operating cadence to align research, cloud, and engineering teams and address model/index trade-offs

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field
  • Master's degree in a relevant discipline preferred
  • 8+ years in product management with focus on technical infrastructure, databases, search, or ML/AI platforms
  • Good working knowledge of vector search fundamentals (embeddings, ANN indexing, similarity metrics, recall vs latency) and hybrid retrieval
  • Working knowledge of generative models, model fine-tuning, model capabilities, and document processing for large corpora
  • Track record of shipping developer- or infrastructure-facing products adopted at scale

Skills

Required:Vector search fundamentalsGenerative models and fine-tuning

Benefits

  • Stock program eligibility
  • RRSP with dollar-for-dollar matching up to 6% of eligible earnings
  • Health coverage for you and your family in many locations
  • Flexible calendars and locations
  • Generous vacation days
  • Volunteer time benefits (up to 40 hours per year)
  • Parental leave (minimum 16 weeks)
Last updated Oct 22, 2026. Interested? Apply on the company site.
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