Principal Product Manager II, AI/Vectors
Core
Lead strategy and roadmap for Elastic's embedding/reranking, vector database, and related capabilities to enable search AI and unstructured data management.
Role type
Principal Product Manager (AI/Vector Search)
Builds
Elastic Search AI Platform (vector indexing, hybrid retrieval, embedding/reranking models)
Domain
Search AI, Vector Databases, Unstructured Data Management
Deliverable
production ML models | product features
Required skills
Vector search fundamentals (embeddings, ANN indexing, similarity metrics, hybrid retrieval), Generative models (fine-tuning, capabilities, document processing), Product strategy & roadmap ownership, Cross-functional collaboration, Technical trade-off analysis, Stakeholder communication
Preferred skills
Master's degree in relevant discipline, Experience with serverless and self-managed deployments
Technologies
Vector databases, Embedding models, Reranking models, Hybrid retrieval systems, SDKs/APIs
Responsibilities
Conduct market research on search/vector trends and SOTA model research; Evaluate competitive landscape and develop user personas; Collaborate with engineering/research to align product strategy with business goals; Define long-term goals and milestones for vector use cases; Own vision and multi-quarter roadmap from indexing internals to developer APIs; Partner with engineering on technical trade-offs and define key metrics (recall, latency, throughput, TCO); Manage operating cadence across research, cloud, and engineering teams
Seniority
Principal, hands-on IC with strategic scope
