# Principal Product Manager II, AI/Vectors

**Company**: Elastic
**Location**: United States
**Experience**: senior
**Job type**: full-time
**Salary**: $199,700-$315,900 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/elastic/jobs/8121962?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b7d5f8a0-58f

## Description

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale , unleashing the potential of businesses and people.

We're looking for a Principal Product Manager to lead the strategy and roadmap for Elastic's embedding/reranking and vector database and related capabilities.

## Responsibilities

- Conduct market research to uncover emerging trends in search/vector databases as well as SOTA model research in emerging areas to manage unstructured data, working alongside our model team.

- Evaluate the competitive landscape to enhance product positioning and develop user personas that guide feature decisions.

- Collaborate with cross-functional teams to align the product strategy with business goals while prioritizing features based on customer feedback and market demands.

- Establish long-term product goals and milestones for the vector use cases, document AI and unstructured data management to drive its development.

- Own the vision, strategy, and multi-quarter roadmap for Elastic's vector database as well as core search use cases, from low-level indexing internals to the developer-facing APIs and SDKs.

- Partner deeply with engineering and applied research on trade-offs, be a credible technical peer in those conversations.

- Define a unified strategy and roadmap across embedding/reranking models and vector indexing/ semantic ingestion, model lifecycle, and end-to-end retrieval quality.

- Manage the operating cadence.

## Requirements

- Bachelor's degree in Computer Science, Engineering, or related field

- Master's degree in a relevant discipline preferred

- 8+ years in product management, with significant time on technical infrastructure, databases, search, or ML/AI platforms.

- Good working knowledge of vector search fundamentals.

- Working knowledge of generative models, model fine tuning, model capabilities and document processing for large corpus.

- Track record of shipping developer- or infrastructure-facing products that were adopted at scale.

## Benefits

- Competitive pay based on the work you do here and not your previous salary

- Health coverage for you and your family in many locations

- Ability to craft your calendar with flexible locations and schedules for many roles

- Generous number of vacation days each year

- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service

- Up to 40 hours each year to use toward volunteer projects you love

- Embracing parenthood with minimum of 16 weeks of parental leave

## Skills

### Required
- vector search
- product management
- technical infrastructure
- databases
- search
- ML/AI platforms

### Nice to have
- generative models
- model fine tuning
- document processing

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/elastic/jobs/8121962?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
