Director of Product Management, Elastic
CA$192.5-304.5k
Plus eligible to participate in Elastic's stock program
Open source platform powering search, observability, security, and more
Job no longer available
Open source platform powering search, observability, security, and more
1001+ employees
Job no longer available
CA$192.5-304.5k
Plus eligible to participate in Elastic's stock program
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- 10+ years of experience in Product Management, with a proven track record of successfully launching and scaling software products
- Direct experience specifically focused on Conversational AI, Chatbots, Virtual Assistants, or related technologies. Deep understanding of NLP/NLU, Search, and machine learning principles
- Strong analytical skills and data-driven decision-making abilities
- Excellent communication, presentation, and interpersonal skills. Ability to effectively communicate complex technical concepts to both technical and non-technical audiences
Desirable
- Experience with Elasticsearch or other search technologies
- Experience building and leading remote teams
- Experience contributing to or working with open-source communities
- Knowledge and experience building products with LLMs and GenAI frameworks
What the job involves
- As our Sr. Director of Product Management for Conversational AI, you will be the founding product leader responsible for defining, launching, and scaling a brand-new set of solution capabilities within Elastic
- This is a unique opportunity to build something significant from the ground up, leveraging Elastic’s core strengths to enter a rapidly growing portion of the market
- You'll report directly to the General Manager of Search, and work closely with engineering, design, marketing, and sales teams to bring this new solution to market
- Vision & Strategy: Develop and articulate a compelling product vision, strategy, and roadmap for Elastic’s Conversational AI product. This includes identifying target markets, defining key use cases, and leading go-to-market strategy
- Market Awareness: Become the subject matter expert on the conversational AI landscape – understanding trends, competitive offerings and emerging technologies, with a focus on conversational AI with enterprise data
- Product Definition: Translate the product vision into detailed product requirements, user stories, and acceptance criteria. Prioritize features based on market opportunity, technical feasibility, and alignment with Elastic’s overall strategy
- Cross-Functional Leadership: Lead and inspire a high-performing team (initially small, but expected to grow), and work closely with engineering to plan the roadmap and identify dependencies on external teams
- Data Analysis & Iteration: Define key metrics for success and continuously monitor product performance. Use data to inform product decisions and drive iterative improvements
- Customer Engagement: Conduct user research, gather customer feedback, and build strong relationships with key customers to understand their needs and pain points
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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