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

Teradata

Teradata

Software Engineering, Product, Data Science

California, USA

Posted on Apr 30, 2026
Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You’ll Do

We are building the next-generation Teradata AI Factory (Artemis)—a full-stack, enterprise-grade AI platform that spans appliance form factors, vector-native data infrastructure, and an open partner ecosystem.

We are looking for a Director of Product Management to own three critical pillars of this strategy:

  • AI Appliance Form Factor (Teradata AI Appliance / Artemis, including Dell AI Factory alignment)
  • Vector Store & Retrieval Layer (native + partner ecosystem including unstructured data pipelines)
  • Partner Integrations & Ecosystem (low-latency, enterprise-grade AI integrations)

This is a builder/operator role for someone who has taken similar systems to market before—not a first-time PM leader.

In this role, you will…

  • 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.

Who You’ll Work With

On our team, we… build the next-generation Teradata AI Factory (Artemis)—bringing together platform engineering, infrastructure, partner integrations, and go-to-market teams to deliver enterprise-grade AI capabilities across cloud and appliance form factors. This role reports to the VP, AI Platform, and works day-to-day with engineering leaders (platform + infra), sales/WWAS, pricing and deal desk, OEM/ISV partners (including Dell AI Factory alignment), and strategic customers.

You’ll collaborate with colleagues who share a commitment to leveraging AI responsibly, ensuring our people and customers benefit from the opportunities AI creates.

What Makes You a Qualified Candidate

  • 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.

What You’ll Bring

  • 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.

Why We Think You'll Love Teradata

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.



Why We Think You’ll Love Teradata

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.

Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.