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Principal Product Manager II, AI/Vectors - Elasticsearch

Elastic· Enterprise Search - Product Management
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Remote$199.7k - $315.9kfull-timePosted 2mo ago

About the role

Senior product leader responsible for strategy and roadmap for embedding/reranking, vector database, and related AI/vector capabilities within Elastic's Elasticsearch offerings, 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 in unstructured data management.
  • Evaluate the competitive landscape to enhance product positioning and develop user personas that guide feature decisions.
  • Collaborate with cross-functional teams to align the product strategy with business goals while prioritizing features based on customer feedback and market demands.
  • Establish long-term product goals and milestones for vector use cases, document AI and unstructured data management to drive its development; prioritize features based on user feedback and technical feasibility; allocate resources and coordinate with engineering teams.
  • Own the vision, strategy, and multi-quarter roadmap for Elastic's vector database and core search use cases from indexing internals to developer-facing APIs and SDKs.
  • Partner with engineering and applied research on trade-offs; define and defend key metrics (recall, latency, index size, ingestion throughput, total cost of ownership); advance Elastic AI and Vector products across deployments (serverless and self-managed).
  • Define a unified strategy and roadmap across embedding/reranking models, vector indexing/semantic ingestion, model lifecycle, and end-to-end retrieval quality.
  • Manage operating cadence; align research, cloud, and engineering teams around shared metrics and priorities; address trade-offs where model and index decisions intersect.

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 experience in technical infrastructure, databases, search, or ML/AI platforms
  • 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, and document processing for large corpora
  • Track record shipping developer- or infrastructure-facing products adopted at scale

Skills

Required:Product managementVector searchGenAI / large language models

Benefits

  • Stock program eligibility
  • Company-matched 401k with dollar-for-dollar matching up to 6%
  • Health coverage for employee and family in many locations
  • Flexible locations and schedules
  • Generous vacation days
  • Volunteer and charitable donation matching up to $2000 per year
  • Parental leave minimum 16 weeks
  • Competitive pay based on role and location
  • Inclusive, diverse workplace environment
Last updated Oct 22, 2026. Interested? Apply on the company site.
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