Principal Product Manager II, AI/Vectors - Elasticsearch

What you'll do

• Own the multi-quarter product vision and roadmap across vector indexing, core search, models, and retrieval quality.
• Research markets, competitors, and emerging AI approaches; use customer feedback and technical feasibility to guide product priorities.
• Align research, cloud, and engineering teams on shared metrics, priorities, and product trade-offs.

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, fine-tuning, model capabilities, and document processing for large corpora; track record shipping developer- or infrastructure-facing products adopted at scale.

Nice to have

• Master’s degree in a relevant discipline.

Pay

$192,500 — $304,500 CAD (base salary)

Tools

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

AI focus

Leads product strategy for embeddings, reranking, vector search, model lifecycle, semantic ingestion, and end-to-end retrieval quality.