- Company: Elastic
- Location: United Kingdom
- Job type: Full-time
✅ Visa sponsor check: Elasticsearch Limited (London) is on the UK Home Office register of licensed sponsors for Skilled Worker, Global Business Mobility: Senior or Specialist Worker (A rating), checked 21 October 2026. Being a licensed sponsor doesn’t guarantee sponsorship for this role: confirm it with the employer, and never pay anyone for a Certificate of Sponsorship.
About the role
Elastic is seeking a Principal Product Manager to lead the strategy and roadmap for its embedding, reranking, and vector database capabilities. In this senior position, you will serve as the go-to expert on search and vector search, guiding the direction for technologies such as vector indexing and hybrid retrieval. You will work closely with engineering and research teams to ensure the product meets the needs of organizations while keeping pace with the evolving AI landscape.
Responsibilities
- Conduct market research to identify trends in search and vector databases, as well as state-of-the-art model research for unstructured data.
- Evaluate the competitive landscape to improve product positioning and develop user personas that guide feature decisions.
- Collaborate with cross-functional teams to align product strategy with business goals, prioritizing features based on customer feedback and market demands.
- Establish long-term product goals and milestones for vector use cases, document AI, and unstructured data management.
- Own the vision, strategy, and multi-quarter roadmap for the vector database and core search use cases, from low-level indexing to developer-facing APIs.
- Partner with engineering and applied research to define and defend key metrics such as recall, latency, index size, and total cost of ownership.
- Define a unified strategy across embedding models, vector indexing, and end-to-end retrieval quality.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field; a Master’s degree is preferred.
- 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, and hybrid retrieval.
- Working knowledge of generative models, model fine-tuning, and document processing for large corpora.
- A track record of shipping developer- or infrastructure-facing products that were adopted at scale.
Pay and benefits
- Competitive pay based on the work performed, rather than previous salary.
- Health coverage for you and your family in many locations.
- Flexible locations and schedules for many roles.
- Generous number of vacation days each year.
- Matching of up to $2,000 (or local currency equivalent) for financial donations and service.
- Up to 40 hours each year for volunteer projects.
- Minimum of 16 weeks of parental leave.
How to apply
Apply directly on Elastic’s own careers website. Omadaily never charges job seekers.
