Director of Product Management – AI Appliance, Vector & Ecosystem Integrations

Teradata is a leading company in cloud analytics and data platforms for AI. They are seeking a Director of Product Management to oversee the development and delivery of their next-generation AI platform, focusing on product strategy, ecosystem integrations, and enhancing productivity through AI.

Responsibilities:

• Own end-to-end product strategy, roadmap, and delivery for the Teradata AI Factory (Artemis) appliance form factor, the vector & retrieval layer, and ecosystem integrations
• Translate customer and field signals into clear requirements, packaging, and competitive differentiation across cloud, on-prem, hybrid, and sovereign deployments
• Lead design-partner programs to validate demand, performance targets (including low-latency retrieval), and integration fit—then convert learnings into repeatable go-to-market plays
• Partner with engineering, sales/WWAS, pricing, and deal desk to drive execution with a disciplined release cadence and measurable outcomes
• Define what success looks like through adoption, ecosystem attach, time-to-deploy, and margin health—then track and adjust to hit those targets
• Apply foundational AI skills to explore and implement ways AI can enhance productivity, innovation, and impact across our workforce

Requirements:

• 10–15+ years in product management, including Director-level leadership and ownership of end-to-end product definition through launch and go-to-market alignment
• Direct experience in at least two of the following: AI/ML infrastructure or appliance systems; vector databases/retrieval systems; enterprise partner ecosystems and integrations
• Experience with GPU-based systems and Kubernetes-based distributed platforms, including enterprise deployments in on-prem or hybrid environments
• Foundational AI skills and the ability to understand how AI can be applied to improve outcomes in your area of expertise
• Experience delivering or partnering on systems similar to Teradata AI Factory / Artemis, including appliance + platform considerations
• Experience with OEM/strategic partnerships (e. g. , Dell Technologies) and building integration programs with ISVs
• Familiarity with the vector database and unstructured data ecosystem, and a pragmatic approach to build-vs-partner decisions
• Experience building low-latency AI systems and setting measurable performance envelopes for retrieval/inference
• Prior ownership of large product lines or platform components with meaningful revenue and/or adoption goals
• A passion for how AI can unlock potential to help our teams, our customers, and our communities achieve great things