Summary written by USA Jobs 24 from Elastic's advert and our data on 17,030 current US jobs. How we check every job
At a glance
Elastic is hiring a Principal Product Manager II, AI/Vectors Elasticsearch in United States. It is a full-time role in Data, AI & Analytics, asking for at least 8 years of experience, first listed on November 1. Elastic has 99 other openings in the US. Across all employers on USA Jobs 24 there are 1,778 Data & AI openings in the US today; the typical one asks for 5 years and advertises about $206,000 a year at the midpoint.
How the pay compares
Elastic has not published pay for this job, or we could not find it in the advert. Of the 1,778 data & AI jobs across the US on USA Jobs 24, 69% show pay, and the typical yearly midpoint among them is $206,000. That gives you a fair starting point when the subject comes up.
Before you apply
- Check it is still open. We found this job on Elastic's Greenhouse site on November 1 and checked it again November 4, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in United States. If you would need to move, ask whether relocation help is offered.
- Match the experience. The advert asks for at least 8 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Apply only through Elastic's own site. Our Apply button goes straight to Elastic's Greenhouse page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Elastic
Elastic has 100 openings on USA Jobs 24 today across 10 states. Most are in software & IT (53), sales & BD (21) and data & AI (10). The biggest locations are San Francisco, CA (5), New York, NY (4) and Arlington, VA (3). None of them is fully remote, 2% are open to entry-level candidates and 94% show pay. We collect Elastic's jobs every day straight from its own careers system (Greenhouse), never from job boards or agencies.
The employer's advert
This is Elastic's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from ElasticHide the advert1,021 words
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. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What is The Role
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. In this senior role, you'll be the go-to expert on search/vector search, guiding the direction for technologies like vector indexing and hybrid retrieval. This position offers the chance to shape a vital part of our product, working closely with engineering and research teams to ensure that our offerings meet the needs of numerous organizations while keeping pace with the evolving landscape of AI.
What You Will Be Doing
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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.
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Evaluate the competitive landscape to enhance product positioning and develop user personas that guide feature decisions.
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Collaborate with cross-functional teams to align the product strategy with business goals while prioritizing features based on customer feedback and market demands.
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Establish long-term product goals and milestones for the vector use cases, document AI and unstructured data management to drive its development. Prioritize features and enhancements based on user feedback and technical feasibility. Allocate resources skillfully to ensure timely updates, while coordinating with engineering teams to validate roadmap assumptions. Communicate updates and expectations clearly to stakeholders and executives.
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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.
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Partner deeply with engineering and applied research on trade-offs, be a credible technical peer in those conversations. Define and defend the metrics that matter: recall, latency, index size, ingestion throughput, and total cost of ownership. Advance the competitiveness of Elastic AI and Vector products across all deployments - Serverless and Self-managed.
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Define a unified strategy and roadmap across embedding/reranking models and vector indexing/ semantic ingestion, model lifecycle, and end-to-end retrieval quality.
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Manage the operating cadence. Make sure shared metrics and priorities align the research, cloud, and engineering teams. Address trade-offs where model and index decisions intersect.
What You Bring
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Bachelor's degree in Computer Science, Engineering, or related field
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Master's degree in a relevant discipline preferred
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8+ years in product management, with significant time on technical infrastructure, databases, search, or ML/AI platforms.
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You should have good working knowledge of vector search fundamentals. This includes embeddings, ANN indexing, similarity metrics, and trade-offs between recall and latency. Additionally, you need to know about hybrid retrieval.
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You should have a working knowledge of generative models, model fine tuning, model capabilities and document processing for large corpus
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You don't need to be a researcher, but you should hold your own with engineers on these topics. A track record of shipping developer- or infrastructure-facing products that were adopted at scale.
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
- 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
Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.
Please see here for our Privacy Statement.
USA Jobs 24 copied this listing from Elastic's official careers site on November 1, 2026 and checked it again November 4, 5:17 AM ET. Elastic will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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