Referral Board
AI & Machine LearningDirect Greenhouse career site

Principal Product Manager Agents and Context - Elasticsearch

Pay
$159,800 – $303,500 per year
Location
Remote (US)
Job type
Full-time
Level
Lead / Staff
Experience
10+ years
Listed
31 days ago

Skills & highlights for this role

  • LLMs
  • RAG architectures
  • vector databases
  • context engineering

Also useful

  • benchmarking and evaluation of agents

About the role

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

Elastic, the Search AI Company, is looking for a Principal Product Manager to guide the vision, strategy, and execution for the Elastic Agent Builder. As organizations shift from traditional data retrieval to autonomous, agentic workflows, the Agent Builder serves as the critical context layer that enables users to make Agents faster, lower cost, and more accurate.

In this high-impact role, you will be responsible for defining how enterprises build, manage, and scale context for AI agents. You will work at the cutting edge of the AI ecosystem, working with senior leadership and partnering with hyperscalers and evangelizing our solutions to a global community of AI developers.

What You Will Be Doing

  • Work directly with enterprise customers, sales teams, and solution architects to understand requirements, negotiate priorities, clarify product needs
  • Build, socialize and align a roadmap for core context engineering capabilities built on top of Elastic powered retrieval and relevance for AI Agents
  • Deeply understand the AI Agent market, major players, trends and how it may impact our strategy
  • Work directly data science and engineering to build out the strategy for benchmarking and evaluations of agent capabilities
  • Work with design to build user experiences that address gaps in how agents show and refine context as they work
  • Be the product expert and evangelize capabilities for Agent Builder through content like blog posts and open source projects
  • Work with a broad ecosystem of AI partners including cloud service providers (Google, Amazon, Microsoft) and community developers

What You Bring

  • Extensive Experience: 10+ years of experience in product management or solution delivery for technical, cloud infrastructure, or platform products. A consistent record of leading sophisticated, data-intensive products from inception through launch and iterative growth.
  • AI and ML Fluency: Deep technical understanding of the AI/ML landscape, including LLMs, RAG architectures, vector databases, and context engineering. You are comfortable working closely with engineers and data scientists to solve intricate technical challenges.
  • Bias to action: You are able to move fast and quickly learn from experiments and tests. You utilize AI tools to help accelerate your processes and bring clarity to your decisions.
  • Leadership and Influence: Demonstrated ability to lead across a matrixed organization, align multiple stakeholders toward a common vision, and drive execution in a fast-paced, remote-first environment.
  • Communication Excellence: Outstanding spoken and written communication skills. You can distill complex engineering details into compelling narratives for both technical and non-technical audiences, including executive leadership.
  • Customer Obsession: A passion for industry trends and a commitment to solving real-world customer problems. You are an advocate for the developer persona and are dedicated to building products that empower users to innovate.

Pay and benefits

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

The typical starting salary range for this role is

$159,800—$252,800 USD

The typical starting salary range for this role in the select locations listed above is:

$191,900—$303,500 USD

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

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 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 encryption software and technology that is subject to U.S. 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, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People's Republic ("DNR"), and the Luhansk People's Republic ("LNR").

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.

Read the original posting

From Referral Board's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

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Common questions

What is the salary for the Principal Product Manager Agents and Context - Elasticsearch role at Referral Board?

The Principal Product Manager Agents and Context - Elasticsearch posting at Referral Board states compensation of $159,800 – $303,500 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Referral Board's official career site.

Where is the Principal Product Manager Agents and Context - Elasticsearch job at Referral Board located?

Yes, this Principal Product Manager Agents and Context - Elasticsearch opening at Referral Board is listed as Remote (US). Always check Referral Board's application page for specific state eligibility or relocation policies.

What qualifications are required for Principal Product Manager Agents and Context - Elasticsearch at Referral Board?

For the Principal Product Manager Agents and Context - Elasticsearch role, Referral Board highlights 10+ years of relevant experience; experience with LLMs, RAG architectures, vector databases, context engineering. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Principal Product Manager Agents and Context - Elasticsearch position at Referral Board?

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