Lead the vision and strategy for the Elastic Agent Builder in a fully remote role at Elastic.
Posted by employer 3 months ago
First seen on Joblaze 3 months ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
You utilize AI tools to help accelerate your processes and bring clarity to your decisions.
Requirements
- Experience
- 10+ years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In this role, the Principal Product Manager for Agents and Context at Elastic will focus on shaping the vision and execution of the Elastic Agent Builder, a tool designed to enhance the efficiency and accuracy of AI agents. The position requires a strong background in product management, particularly within technical and cloud infrastructure, alongside a deep understanding of AI and machine learning technologies. This role is ideal for seasoned professionals with a proven track record in leading complex, data-driven products and the ability to influence cross-functional teams. Elastic's commitment to innovation and collaboration with major cloud partners underscores the strategic importance
Joblaze insights
- Listed about 3 months ago — first seen on Joblaze July 17, 2026. Last confirmed on Elastic's careers page November 11, 2026.
- This exact title is also open at 3 other locations at Elastic: United Kingdom, Ireland, United States.
- Starts at or below all 17 comparable principal product roles that list AI/ML we track (median $180,000 across 11 companies). See AI/ML salary trends
- AI/ML appears in 31.2% of 77 comparable principal product roles; platform products appears in 2.6% of 77 comparable principal product roles.
Quick facts
- Is the Principal Product Manager Agents and Context - Elasticsearch role remote?
- Yes — Elastic lists this as a fully remote position.
- What's the salary range?
- Elastic lists CAD 154,000–CAD 243,600 for this role.
- How much experience is required?
- At least 10 years of relevant experience for this Principal Product Manager Agents and Context - Elasticsearch role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, cloud infrastructure, platform products.
- What seniority level is this role?
- Elastic targets principal-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Principal Product Manager Agents and Context - Elasticsearch role at Elastic.
From the original posting
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.
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.
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 Registered Retirement Savings Plan (RRSP) 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.
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