Principal Product Manager Agents and Context - Elasticsearch

Elastic
Full-time•Product / Owner•Ireland · Remote within Ireland
Apply Now

TechJobs.ie Job Insights

At a glance

Employment type
Full-time
Workplace
Remote

Technologies & skills

Other technical skills

What you'll be doing

Principal Product Manager role at Elastic, focused on guiding the vision, strategy, and execution for the Elastic Agent Builder. Responsible for defining how enterprises build, manage, and scale context for AI agents, collaborating with customers, engineering, and partners in a remote-first environment.

  • Work with enterprise customers, sales teams, and solution architects to understand requirements and clarify product needs
  • Build, socialize, and align a roadmap for context engineering capabilities for AI Agents
  • Understand the AI Agent market and trends
  • Collaborate with data science and engineering on benchmarking and evaluation strategies
  • Work with design to improve user experiences for agent context
  • Evangelize Agent Builder capabilities through content and open source projects
  • Engage with AI partners including cloud service providers and community developers

Key requirements

Must-have

  • 10+ years of experience in product management or solution delivery for technical, cloud infrastructure, or platform products
  • Deep technical understanding of the AI/ML landscape, including LLMs, RAG architectures, vector databases, and context engineering
  • Ability to work closely with engineers and data scientists
  • Demonstrated leadership across matrixed organizations
  • Outstanding spoken and written communication skills
  • Passion for industry trends and solving customer problems

Experience: 10+ years in product management or solution delivery for technical, cloud infrastructure, or platform products

Role signals

Technical focus
product management for AI/ML and context engineering
Hands-on vs management
Hands-on

Full job 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. 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 managementor solution deliveryfor 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.

At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets.

The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position.

The typical starting salary range for this role is:

€104.800—€165.700 EUR

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.

Interview prep pack

Grounded in this listing. Use it to prepare examples before you apply.

Your interview focus

Based on this listing, the Principal Product Manager for Agents and Context at Elastic will define and drive the vision, strategy, and execution for the Elastic Agent Builder, focusing on context engineering for AI agents and collaborating with cross-functional teams and external partners.

  • Technical Product Leadership in AI/ML·High
  • Enterprise Customer Engagement·High
  • Cross-functional Collaboration·High
  • Communication and Evangelism·High

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

  1. Review Elastic's AI and Agent Builder Documentation

    0–8 min

    Spend time reading Elastic's official documentation, blog posts, and any available case studies on the Agent Builder and related AI products.

  2. Research AI Agent Market Trends

    8–15 min

    Investigate recent developments in AI agents, context engineering, LLMs, RAG, and vector databases to understand the competitive landscape.

  3. Prepare STAR Stories for Key Responsibilities

    15–22 min

    Draft concise STAR (Situation, Task, Action, Result) examples from your experience that align with the listed responsibilities and must-have skills.

  4. Formulate Insightful Questions

    22–26 min

    Develop thoughtful questions about Elastic's strategy, team structure, and product vision to demonstrate your engagement and fit.

  5. Practice Communicating Technical Concepts

    26–30 min

    Rehearse explaining complex AI/ML and context engineering topics in clear, compelling language for both technical and non-technical audiences.

Likely questions

, 8 items

Priority reflects how strongly this topic is emphasised in the job listing, not whether it will be asked.

Talking points

, 6 items
  • Leading Data-Intensive Product Initiatives

    Prepare to discuss examples where you have taken a technical, data-driven product from concept to launch, highlighting your end-to-end ownership and iterative growth.

  • Technical Fluency in AI/ML and Context Engineering

    Demonstrate your understanding of LLMs, RAG architectures, vector databases, and how you have worked with engineering and data science teams to solve complex challenges.

  • Building and Aligning Product Roadmaps

    Showcase your experience in developing, socializing, and aligning product roadmaps with multiple stakeholders, especially in fast-paced or matrixed organizations.

  • Customer-Centric Product Development

    Be ready to share how you have gathered and prioritized customer requirements, advocated for developer personas, and delivered solutions that address real-world problems.

  • Evangelizing and Communicating Product Value

    Highlight your ability to distill complex technical concepts into compelling narratives for diverse audiences, including executives and the developer community.

  • Partnering with Ecosystem Players

    Prepare examples of collaborating with cloud providers, community developers, or other partners to drive product adoption and innovation.

What to research

, 4 items
  • Elastic Agent Builder and Context Engineering

    Review Elastic's documentation, blog posts, and any available resources on the Agent Builder and its role in context engineering for AI agents.

  • AI Agent Market and Ecosystem

    Research current trends, major players, and recent innovations in the AI agent and context engineering space, including LLMs, RAG, and vector databases.

  • Elastic's Product Portfolio and AI Strategy

    Understand Elastic's broader product offerings, especially how search, security, and observability intersect with AI and agentic workflows.

  • Enterprise Customer Use Cases

    Identify common enterprise challenges and use cases for AI agents and context engineering, particularly in industries served by Elastic.

Questions to ask

, 6 items
  1. How does Elastic envision the evolution of the Agent Builder and its role in the broader AI ecosystem?

    Why ask this? Clarifies the long-term vision and strategic importance of the product.

  2. What are the biggest challenges Elastic faces in enabling enterprises to build and scale context for AI agents?

    Why ask this? Helps you understand current pain points and where your expertise can add value.

  3. How does the product team collaborate with engineering, data science, and design to iterate on context engineering capabilities?

    Why ask this? Gives insight into cross-functional processes and expectations.

  4. What metrics or benchmarks are most important for measuring the success of the Agent Builder?

    Why ask this? Shows your focus on outcomes and helps you align with their definition of success.

  5. How does Elastic engage with the developer community and cloud partners to drive adoption of new AI features?

    Why ask this? Reveals the company's approach to ecosystem partnerships and external advocacy.

  6. What are the most critical skills or experiences you are seeking in the ideal candidate for this role?

    Why ask this? Allows you to tailor your responses and understand key priorities for the team.

Register now to upload your CV

Create a free account, save a PDF or Word CV, and quick apply on roles that take applications here.

Apply NowApply before: 21 Nov 2026