VP, Product Management (AI)

EDB provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud, anywhere. The Vice President of Product Management (AI) will own the strategy and vision for AI-driven products, bridging business needs with complex technologies and driving commercial success across the portfolio.

Responsibilities:

• Define the Integrated Strategy: Architect and execute a clear, market-leading AI strategy that seamlessly aligns with our overall growth objectives. Your strategy must ensure AI capabilities are deeply integrated across every product and customer touchpoint. We are transforming the user experience through GenAI to create clear differentiation in the market
• Elevate Analytics as the AI Foundation: Lead the evolution of our high-performance data and analytics offerings (data warehousing, lakehouse connectivity, data acceleration) to ensure they serve as the trusted, scalable foundation for all AI and machine learning workloads
• Drive Commercial Results: Own the strategy for developing and launching AI-powered products and features that directly address critical customer pain points and deliver clear, measurable business outcomes and commercial success
• Be the Industry Evangelist: Become a highly visible and authoritative leader in the AI, Analytics and database communities. Represent EDB at executive and media events, building our reputation as a definitive Data and AI innovator
• Build Strategic Alliances: Cultivate deep relationships within the Postgres OSS Community, AI researchers, analysts, and technology partners to ensure EDB remains at the forefront of AI and data advancements
• Lead and Inspire Teams: Partner closely with Engineering and Sales to accelerate product delivery. Mentor, inspire, and grow a high-performing product management team, championing a culture of data-driven creativity and continuous innovation

Requirements:

• Proven track record in product leadership, strategic growth, and commercializing AI-driven services within a fast-growing tech or database company
• Deep, demonstrable understanding of the AI ecosystem (ML, GenAI, Vector Databases, RAG) and large-scale data analytics (data warehousing, lakehouse architectures)
• A history of developing and launching integrated AI/Analytics products that have delivered clear, measurable commercial results and superior customer value
• Outstanding leadership and communication skills, with a proven ability to synthesize complex technical concepts into clear, compelling business strategies for executive and customer audiences
• Well-connected in the AI community, with a strong network of key influencers, researchers, and technology partners