Principal Product Manager, Vector AI & Search Platform

Elastic; Ireland; Hybrid; GBP 110,000 - 175,000; Full time

Benefits offered by this job

Health coverage for you and yourfamily

Flexible locations and schedules

Generous vacation days

Volunteer time (40 hours/year)

Parental leave (16 weeks)

Donations matching up to $2000

Job summary

Elastic, the search AI company, is seeking a Principal Product Manager to lead the strategy and roadmap for embedding/reranking, vector database, and related capabilities. You will shape the direction of search/vector search, vector indexing, and hybrid retrieval, collaborating with engineering and research to meet organizational needs in a fast-evolving AI landscape.

You will own the long-term vision for Elastic's vector database and core search use cases, working with cross-functional teams to

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Master's degree in a relevant discipline preferred.
• 8+ years in product management with focus on technical infrastructure, databases, search, or ML/AI platforms.
• Knowledge of vector search fundamentals including embeddings, ANN indexing, similarity metrics, and hybrid retrieval.
• Working knowledge of generative models, model fine-tuning, and document processing for large corpora.
• Track record of shipping developer- or infrastructure-facing products adopted at scale.

Responsibilities

• Lead strategy and long-term roadmap for Elastic's embedding/reranking, vector database, and related capabilities.
• Guide direction on search/vector search, vector indexing, and hybrid retrieval with engineering and research teams.
• Collaborate with cross-functional teams to align product strategy with business goals and prioritize features from customer feedback and market demand.
• Define and manage milestones for vector use cases and document AI/unstructured data management; allocate resources and coordinate with engineering.
• Own vision and multi-quarter roadmap for Elastic's vector database and core search use cases, including APIs and SDKs.
• Partner with engineering and applied research on trade-offs; define metrics (recall, latency, index size, throughput, total cost of ownership).
• Define unified strategy across embedding/reranking models, vector indexing, semantic ingestion, model lifecycle, and retrieval quality.
• Manage operating cadence and align research, cloud, and engineering metrics and priorities.

Skills

Vector search

Embeddings

ANN indexing

Similarity metrics

Hybrid retrieval

Generative models

Model fine-tuning

Document processing

Developer-facing products

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Job description

Elastic, the search AI company, is seeking a Principal Product Manager to lead the strategy and roadmap for embedding/reranking, vector database, and related capabilities. You will shape the direction of search/vector search, vector indexing, and hybrid retrieval, collaborating with engineering and research to meet organizational needs in a fast-evolving AI landscape.

You will own the long-term vision for Elastic's vector database and core search use cases, working with cross-functional teams to