Principal Product Manager, Elastic
Agents and Context, Elasticsearch
CA$154-243.6k
Open source platform powering search, observability, security, and more
Be an early applicant
Open source platform powering search, observability, security, and more
1001+ employees
Be an early applicant
CA$154-243.6k
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Organizations are dealing with exploding data volumes increasingly sophisticated cyber threats, and the growing expectation tha ttechnology should help act on problems, not just report them. Ai is moving from experimentation into real operations, especially in security and observability where speed and context are critical. So now, both enterprises and governments are looking for simpler, shared platforms that sale easily and reduce complexity rather than add to it.
And Elastic sits at the intersection of these needs with its Search AI Platform that helps organizations turn large amounts of structured and unstructured data into clear insights and actiontions across search, security, and observability. Elastic's strength lies in its open, flexible approach, which breaks down data silos and provides a context people and AI systems need to make daster, better decisions. The goal is straightforward: help teams see what's happening, understand it quickly, and respond confidently.
Recently, the company worked with CISA to deliver a unified, cloud-based SIEM for US federal agencies, this highlights strong trust in Elastic's security and scalability. Alongside this, its AWS Agentic AI Specialization also reflects leadership in making autonomous AI system practical and reliable. Together, these milestones position Elastic well for the future, as organizations increasingly rely on shared platforms and intelligent systems to manage ris, complexity, and growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2016
$58m
SERIES D
Jun 2014
$70m
SERIES C
Total funding: $162m
Company benefits
- Toast to your health: Fully paid health coverage for you and your family, in many locations.
- Craft your calendar: Flexible location and schedule for most roles.
- Create space for you: Distributed by design workforce, plus generous number of vacation days each year.
- Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits.
- Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about.
- Amplify your impact: Double your charitable giving — we match donations up to $1500 USD (or local currency equivalent).
Company HQ
Union Square, San Francisco, CA
Leadership
Ashutosh Kulkarni
(CEO)Ashutosh joined Elastic in 2021 as CPO, becoming CEO in 2022. Prior to this, he was an EVP and CPO of Enterprise at McAfee, a Senior VP and GM of Web Performance and Web Security at Akamai Technologies, and a Senior VP and GM of Informatica Cloud at Informatica.
Shay Banon
(Co-Founder & CTO)Shay co-founded Elastic in 2012 and has served as the CTO since.
Navam Welihinda
(CFO)Prior to joining Elastic in 2025, Navam was the CFO at Grammarly. He also spent nearly 8 years at HashiCorp as VP of Finance and CFO and was the Head of Finance, Compose at IBM for 1 year.
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