Principal Product Manager II, AI/Vectors

Elastic

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
London, London, United Kingdom
Salary
$199,700–$315,900 / yr
Posted
68 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $212k
This role $258k
$147k $334k
below market most similar roles pay here above market

This role pays more than 78% of similar roles. Most pay $177,250–$246,543 — the blue band above. At the midpoint, this role pays about $258k versus about $212k for comparable roles.

Based on 240 similar postings.

Employer

About Elastic

Elastic is the company behind Elasticsearch and the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash). It sells search, observability, and security products built on that search engine, primarily through its Elastic Cloud managed service.

Elastic currently has 52 open roles on FindRole.

Listed pay typically runs $133,100–$210,600 across 52 roles with salary data.

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At a glance

TL;DR · Principal Product Manager II, AI/Vectors

The Principal Product Manager II, AI/Vectors - Elasticsearch leads the strategy and roadmap for Elastic's embedding, reranking, and vector database capabilities. Working with engineering and research teams, this role involves conducting market research on state-of-the-art models, evaluating the competitive landscape, and defining long-term goals for unstructured data management. The position requires owning the vision for vector indexing internals, developer-facing APIs, and SDKs while managing trade-offs between recall, latency, index size, and ingestion throughput. Key technical competencies include vector search fundamentals like ANN indexing, similarity metrics, and hybrid retrieval, alongside knowledge of generative models, fine-tuning, and document processing. The role solves complex problems in retrieval quality and semantic ingestion across Serverless and Self-managed deployments to enhance the competitiveness of the Elastic AI and Vector products.

What does a Product Manager earn?

Median $199125 from 772 postings across 95 companies.

See salary data

What you'll do

  • Own the vision, strategy, and multi-quarter roadmap for the vector database and core search use cases.
  • Define a unified strategy for embedding/reranking models, vector indexing, and end-to-end retrieval quality.
  • Partner with engineering and research teams to evaluate technical trade-offs regarding recall, latency, and cost.
  • Conduct market research on emerging trends in search/vector databases and state-of-the-art model research.
  • Establish long-term product goals and milestones while prioritizing features based on customer feedback and technical feasibility.
  • Manage the operating cadence to align shared metrics and priorities across research, cloud, and engineering teams.
  • Evaluate the competitive landscape to enhance product positioning and develop user personas for feature decisions.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Master's degree in a relevant discipline (preferred).
  • 8+ years of experience in product management.
  • 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.
  • Track record of shipping developer- or infrastructure-facing products adopted at scale.
  • Export controls.

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