Principal Product Manager II, AI/Vectors Elasticsearch
Core
Lead strategy and roadmap for Elastic's embedding/reranking, vector database, and related capabilities, guiding direction for technologies like vector indexing and hybrid retrieval.
Role type
Principal Product Manager (AI/Vector Search)
Builds
Elastic Search AI Platform (vector database, embedding/reranking models, hybrid retrieval)
Domain
Search technology, AI/ML, Vector databases
Deliverable
product features
Required skills
Product strategy, market research, competitive analysis, user persona development, cross-functional collaboration, roadmap planning, resource allocation, stakeholder communication, technical trade-off analysis, metric definition (recall, latency, throughput, TCO)
Preferred skills
Master's degree in relevant discipline, experience with technical infrastructure/databases/search/ML platforms, knowledge of generative models and model fine-tuning
Technologies
Vector search, embeddings, ANN indexing, similarity metrics, hybrid retrieval, generative models, model fine-tuning, Serverless, Self-managed deployments
Responsibilities
Conduct market research on search/vector databases and SOTA model research; Evaluate competitive landscape to enhance product positioning; Collaborate with cross-functional teams to align product strategy with business goals; Establish long-term product goals and milestones for vector use cases; Own the vision, strategy, and multi-quarter roadmap for vector database and core search use cases; Partner with engineering and applied research on trade-offs; Define and defend key metrics; Manage operating cadence across research, cloud, and engineering teams
Seniority
Principal, hands-on IC
