VP, Product Management (Database Servers/OLTP)
- Defining the Next-Generation Database Strategy: Own and execute a clear, actionable product strategy that elevates our core database services (OLTP) to meet the most rigorous enterprise demands for scale, performance, and operational excellence.
- Integrating AI for Enterprise Value: Ensure AI and vector capabilities are deeply woven into the database experience itself-not as a separate feature, but as an integrated layer that enhances data management, developer experience, and governance within the Postgres environment.
- Driving Product Roadmap & Growth: Define a profitable roadmap that expands our offerings, creates innovative value for our customers, and drives adoption across new and existing markets. Partner closely with Sales, Marketing, and Customer Success to achieve measurable business outcomes.
- Leading the Technical Narrative: Serve as a visible and authoritative voice in the database, OSS, and AI communities. Represent EDB at key industry events, sharing technical insights and trends that solidify our reputation as the leading Postgres expert and data innovator.
- Fostering Ecosystem & Community Leadership: Build and maintain strategic relationships within the Postgres OSS Community , alongside key researchers and technology partners, ensuring EDB remains at the forefront of core database advancements and community collaboration.
- Inspiring and Scaling Teams: Partner with Engineering to accelerate product delivery. Mentor and grow a high-performing product management team, fostering a culture defined by technical curiosity, creativity, and data-driven decision making.
- Executive Database Product Acumen: Proven track record in product leadership and driving strategic growth for mission-critical database platforms (OLTP/Relational) . Must have experience delivering products that scale to meet enterprise-level requirements (HA, security, performance).
- Technical Domain Mastery: Deep understanding of PostgreSQL and the broader open-source database ecosystem. Fluency in technical concepts critical for modern database adoption, including Kubernetes, advanced replication, and hybrid cloud deployment models.
- Enterprise AI Context: Strong understanding of how AI/ML, vector indexing, and GenAI tooling are impacting the database layer. Ability to integrate these technologies to enhance core database utility, rather than simply launching standalone AI products.
- Community and Industry Network: Established credibility and a strong network of industry leaders, key influencers, and researchers within the Database and Open Source Software (OSS) communities.
- Strategic Communication: Exceptional communication, organizational, and leadership skills, with a history of successfully driving alignment and collaboration among cross-functional teams at an executive level.
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