Principal Product Manager II, AI/Vectors - Elasticsearch

What you'll do

• Set and manage the multi-quarter product vision and roadmap for vector and core search use cases.
• Partner with engineering and applied research to make technical trade-offs and define product metrics, including recall, latency, index size, ingestion throughput, and total cost of ownership.
• Research markets and competitors, prioritize features using customer feedback and technical feasibility, and align cross-functional teams and stakeholders.

What they ask for

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 8+ years in product management, with significant experience 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.

Pay

$199,700 — $315,900 USD (base salary); $239,800 — $379,300 USD (base salary)

Tools

Elasticsearch, vector indexing, hybrid retrieval, embeddings, ANN indexing, generative models, model fine tuning, SDKs

AI focus

Lead product strategy for embedding/reranking models, vector indexing and semantic ingestion, model lifecycle, and end-to-end retrieval quality; research emerging models and AI approaches for unstructured data.