Senior Product Lead, Vector AI & Embeddings

Elastic; United Kingdom; Ibrido; GBP 110.000 - 150.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health coverage for you and family

Flexible locations and schedules

Generous vacation days

Volunteer time allowance

Parental leave (16+ weeks)

Descrizione del lavoro

Elastic is seeking a Principal Product Manager to lead strategy and roadmaps for embedding/reranking, vector databases, and related capabilities. You will be the go-to expert on search/vector search, guiding vector indexing, hybrid retrieval, and developer-facing APIs.

Collaborate with engineering and research to shape AI-focused products for diverse deployments. You will own the vision and milestones for Elastic's vector database and core search use cases, balancing performance, cost, and user

Competenze

• 8+ years in product management, with focus on technical infra, databases, search or ML/AI platforms.
• Strong knowledge of vector search fundamentals: embeddings, ANN indexing, recall-latency trade-offs.
• Experience shipping developer-facing/infrastructure products adopted at scale.
• Ability to work effectively with engineering and research teams to define and deliver roadmaps.

Mansioni

• Lead strategy and multi-quarter roadmap for Elastic's vector database and core search use cases.
• Guide direction for vector indexing, embeddings, and hybrid retrieval.
• Perform market research on search/vector databases and SOTA model research.
• Evaluate competitive landscape and develop user personas to guide features.
• Align product strategy with business goals and prioritize features.
• Define metrics (recall, latency, index size, throughput) and manage roadmap delivery with teams.

Conoscenze

Product management

Vector search

Generative models knowledge

Engineering collaboration

Formazione

Bachelor's degree in CS/Engineering

Master's degree preferred

Descrizione del lavoro

Elastic is seeking a Principal Product Manager to lead strategy and roadmaps for embedding/reranking, vector databases, and related capabilities. You will be the go-to expert on search/vector search, guiding vector indexing, hybrid retrieval, and developer-facing APIs.

Collaborate with engineering and research to shape AI-focused products for diverse deployments. You will own the vision and milestones for Elastic's vector database and core search use cases, balancing performance, cost, and user