Principal Product Manager II, AI/Vectors
About The Position
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. We're looking for a Principal Product Manager to lead the strategy and roadmap for Elastic's embedding/reranking and vector database and related capabilities. In this senior role, you'll be the go-to expert on search/vector search, guiding the direction for technologies like vector indexing and hybrid retrieval. This position offers the chance to shape a vital part of our product, working closely with engineering and research teams to ensure that our offerings meet the needs of numerous organizations while keeping pace with the evolving landscape of AI.
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field
- 8+ years in product management, with significant time on technical infrastructure, databases, search, or ML/AI platforms.
- Good working knowledge of vector search fundamentals. This includes embeddings, ANN indexing, similarity metrics, and trade-offs between recall and latency.
- Knowledge of hybrid retrieval.
- Working knowledge of generative models, model fine tuning, model capabilities and document processing for large corpus.
- Ability to hold your own with engineers on technical topics related to AI/ML and databases.
- A track record of shipping developer- or infrastructure-facing products that were adopted at scale.
Nice To Haves
- Master's degree in a relevant discipline preferred
Responsibilities
- Conduct market research to uncover emerging trends in search/vector databases as well as SOTA model research in emerging areas to manage unstructured data, working alongside our model team.
- 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 the vector use cases, document AI and unstructured data management to drive its development. Prioritize features and enhancements based on user feedback and technical feasibility. Allocate resources skillfully to ensure timely updates, while coordinating with engineering teams to validate roadmap assumptions. Communicate updates and expectations clearly to stakeholders and executives.
- Own the vision, strategy, and multi-quarter roadmap for Elastic's vector database as well as core search use cases, from low-level indexing internals to the developer-facing APIs and SDKs.
- Partner deeply with engineering and applied research on trade-offs, be a credible technical peer in those conversations. Define and defend the metrics that matter: recall, latency, index size, ingestion throughput, and total cost of ownership. Advance the competitiveness of Elastic AI and Vector products across all deployments - Serverless and Self-managed.
- Define a unified strategy and roadmap across embedding/reranking models and vector indexing/ semantic ingestion, model lifecycle, and end-to-end retrieval quality.
- Manage the operating cadence. Make sure shared metrics and priorities align the research, cloud, and engineering teams. Address trade-offs where model and index decisions intersect.
Benefits
- Competitive pay based on the work you do here and not your previous salary
- Company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings
- Stock program eligibility
- Health coverage for you and your family in many locations
- Flexible locations and schedules for many roles
- Generous number of vacation days each year
- Up to $2000 (or local currency equivalent) match for financial donations and service
- Up to 40 hours each year to use toward volunteer projects
- Minimum of 16 weeks of parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Principal
