Teradata is a company that focuses on empowering people with better information through their comprehensive cloud analytics and data platform for AI. They are seeking a Director of Product Management to define and drive the product strategy for the AI Studio, focusing on the developer and runtime layer of an enterprise AI platform, while collaborating with various teams to deliver innovative solutions.
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