Principal Product Manager II, AI/Vectors - Elasticsearch

The role

You will lead the strategy and roadmap for Elastic's embedding/reranking, vector database, and related capabilities. You will work with engineering and research teams to manage vector indexing, hybrid retrieval, and AI product competitiveness.

What you will do

• Conduct market research on search/vector databases and SOTA model research.
• Evaluate the competitive landscape and develop user personas.
• Collaborate with cross-functional teams to align product strategy with business goals.
• Establish long-term product goals and milestones for vector use cases.
• Prioritize features and enhancements based on user feedback and technical feasibility.
• Allocate resources and coordinate with engineering teams to validate roadmap assumptions.
• Communicate updates and expectations to stakeholders and executives.
• Own the vision, strategy, and multi-quarter roadmap for Elastic's vector database and core search use cases.
• Partner with engineering and applied research on technical trade-offs.
• Define and defend metrics including recall, latency, index size, ingestion throughput, and total cost of ownership.

Required qualifications

• 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 including 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.
• Track record of shipping developer- or infrastructure-facing products that were adopted at scale.

Nice to have

• Master's degree in a relevant discipline

Benefits

• Competitive pay
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Match up to $2000 for financial donations and service
• Up to 40 hours each year to use toward volunteer projects
• Minimum of 16 weeks of parental leave
• Company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings
• Eligible to participate in Elastic's stock program

Before you apply

• An export license may be required if you are located in or are a national of sanctioned countries or regions including Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, th

About the company

Elastic is the Search AI Company that enables everyone to find answers in real time using all their data at scale. The Elastic Search AI Platform is used by more than 50% of the Fortune 500.