Principal Product Manager II, AI/Vectors

Elastic

Confirmed live yesterday High trust

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $207k
This role $258k
$145k most similar roles pay here $334k

This role pays more than 84% of similar roles. Most pay $176,243–$238,450 — the shaded band above. At the midpoint, this role pays about $258k versus about $207k 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 240 open roles on FindRole.

Listed pay typically runs $133,100–$210,600 across 91 roles with salary data.

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View all roles at Elastic

At a glance

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

Principal Product Manager II, AI/Vectors leads the strategy and roadmap for Elastic's embedding, reranking, and vector database capabilities. This role involves managing the product vision from low-level indexing internals to developer-facing APIs and SDKs while collaborating with engineering and research teams to navigate trade-offs in retrieval quality. The position requires conducting market research on search trends, evaluating competitive landscapes, and defining metrics such as recall, latency, index size, and ingestion throughput. Candidates must possess expertise in vector search fundamentals, including embeddings, ANN indexing, similarity metrics, hybrid retrieval, and generative models for large corpus processing. The role addresses the technical challenge of managing unstructured data through advanced AI integration. Required skills include experience with infrastructure-facing products, machine learning platforms, and a deep understanding of model lifecycle management across both serverless and self-managed deployments.

What does a Product Manager earn?

Median $204200 from 424 postings across 77 companies.

See salary data

What you'll do

  • Lead the strategy and multi-quarter roadmap for vector databases, embedding/reranking models, and core search capabilities.
  • Conduct market research on emerging trends in search technologies and state-of-the-art model research for unstructured data.
  • Evaluate the competitive landscape to improve product positioning and develop user personas for feature decisions.
  • Define and defend key technical metrics including recall, latency, index size, ingestion throughput, and total cost of ownership.
  • Partner with engineering and research teams to navigate technical trade-offs regarding model and indexing decisions.
  • Manage the operating cadence to align shared metrics and priorities across research, cloud, and engineering teams.
  • Develop a unified strategy for the entire lifecycle of embedding models and semantic ingestion processes.

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 for 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.
  • Proven track record of shipping developer- or infrastructure-facing products adopted at scale.
  • Ability to serve as a credible technical peer when discussing trade-offs with engineering and research teams.
  • Export controls.

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