Lead Elastic’s vector search strategy with expertise in embeddings, hybrid retrieval, and AI infrastructure as a distributed company.
As Principal Product Manager, you will guide embedding, reranking, vector database, and related capabilities. You will shape products serving organizations across Elastic deployments. Success requires product management experience with technical infrastructure, search, databases, or ML and AI platforms.
Key Responsibilities: Own vision, strategy, and multi-quarter vector database roadmap
Define embedding, reranking, indexing, and retrieval strategy
Partner with engineering and research on technical trade-offs
Establish metrics for recall, latency, throughput, and index size
Coordinate priorities across research, cloud,



and engineering teams
Requirements: Eight-plus years in product management
Technical infrastructure, database, search, or ML platform experience
Knowledge of embeddings, ANN indexing, similarity metrics, and hybrid retrieval
Working knowledge of generative models and model fine tuning
Record shipping developer or infrastructure products adopted at scale
Principal Product Manager candidates will connect vector search expertise with roadmap leadership, technical judgment, and retrieval quality.

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📌 Principal Product Manager Vector Search (Manitoba)
🏢 Elasticsearch
📍 Manitoba