Director of Product Management, Elastic

• 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

• 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