Principal Product Manager II, AI/Vectors Elasticsearch

What you'll do

• Set product vision, strategy, and multi-quarter roadmaps for vector search and related AI capabilities across Serverless and Self-managed deployments.
• Work with engineering, applied research, and cross-functional teams to prioritize features, resolve technical trade-offs, and align metrics and priorities.
• Research markets, models, and competitors; guide product positioning and feature decisions using customer feedback and user needs.

What they ask for

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 8+ years in product management, including significant time in technical infrastructure, databases, search, or ML/AI platforms.
• Working knowledge of vector search fundamentals, including embeddings, ANN indexing, similarity metrics, recall/latency trade-offs, and hybrid retrieval.
• Working knowledge of generative models, model fine tuning, model capabilities, and document processing for large corpus; track record shipping developer- or infrastructure-facing products adopted at scale.

Nice to have

• Master's degree in a relevant discipline.

Tools

Elasticsearch, ANN

AI focus

Lead product strategy for embeddings, reranking, vector indexing, semantic ingestion, model lifecycle, and end-to-end retrieval quality; partner with model, engineering, and research teams.