Sr. Director / Director Product Management: Hardware AI & Data Platforms & Partnerships - US (San Diego) Job at Teradata Group, San Diego, CA

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  • Teradata Group
  • San Diego, CA

Job Description

Our Company

At Teradata, we believe that people thrive when empowered with better information. Thats 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 customersand our customers customersto make better, more confident decisions. The worlds top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What you will do

In this role, you will lead the product strategy, partnership execution, and joint solution development between Teradata and Dell, with a specific focus on onpremises and hybrid hardwarebased AI and enterprise data warehouse platforms. You will ensure that Teradatas data and AI platform delivers bestinclass performance, scalability, reliability, and cost efficiency on Dell infrastructure.

You will own the product vision for how Teradatas onprem and hybrid data warehouse and AI platforms integrate, coinnovate, and codeliver with Dells compute, storage, networking, and AIoptimized hardware, enabling customers to run missioncritical analytics and AI workloads where their data lives.

You will define and drive a coordinated roadmap that aligns Teradatas onprem and hybrid data warehouse, analytics, and AI capabilities with Dells infrastructure portfolioincluding PowerEdge, PowerScale, PowerFlex, PowerStore, PowerVault, Dell Validated Designs, Dell AI Factory, and APEXensuring optimized deployments across customermanaged data centers, private cloud, and edge environments.

Your work will shape how Teradata scales across Dells global enterprise customer base by delivering validated, hardwareaware solutions that make Teradata the preferred onprem and hybrid AI and data warehouse platform on Dell infrastructure.

Success in this role means

  • Delivering a joint onprem and hybrid product strategy that aligns Teradatas AI and enterprise data warehouse platforms with Dells compute, storage, networking, and AI hardware ecosystem.
  • Defining hardwareoptimized reference architectures for Teradata on Dell, including CPU and GPUaccelerated configurations for analytics and AI workloads.
  • Driving validated designs and turnkey deployment models for onprem and hybrid customers, covering sizing, performance tuning, resiliency, and lifecycle management.
  • Ensuring Teradatas data warehouse and AI platforms fully leverage Dells highperformance storage, GPU systems, and scalable compute to meet enterprise SLAs.
  • Enabling Teradata on Dell APEX, private cloud, and customermanaged infrastructure, with consistent deployment, upgrade, and operating experiences.
  • Partnering with Dell engineering and solution teams to ensure predictable performance, security, compliance, and cost efficiency across onprem and hybrid environments.
  • Supporting Teradata and Dell field teams with solution positioning, demos, customer architectures, and executivelevel technical narratives.
  • Applying foundational AI expertise to identify where hardwareaccelerated AI, model inference, and analyticsAI convergence can improve customer outcomes.

Who you will work with

  • You will partner closely with leaders across Teradata Product Management, Engineering, Cloud & Platform Engineering, Alliances, Partner GTM, and Customer Success, as well as with Dells global Product Management, Engineering, Solutions Architecture, Alliances, Sales, and Services teams.
  • This role sits within the Teradata Product Organization and reports to the VP of Product Management. You will work handinhand with Dell alliance leaders to ensure tight alignment between hardware capabilities and platform software strategy.
  • You will also collaborate with Teradatas AI engineering and governance teams to ensure all onprem and hybrid solutions meet Teradatas standards for responsibility, security, transparency, and trust.

What makes you a qualified candidate

  • 12+ years of product management experience in enterprise technology, onprem infrastructure platforms, data warehousing, analytics, or AI systems.
  • Proven success leading hardwareaware platform products, hybrid cloud solutions, or largescale onprem enterprise platforms.
  • Deep understanding of enterprise data warehouse architectures, including performance optimization, workload management, concurrency, and scalability on physical infrastructure.
  • Strong knowledge of Dell infrastructure, including PowerEdge servers, storage platforms (PowerScale, PowerStore, PowerFlex), GPU systems, APEX services, and Dell AI Factory.
  • Experience delivering joint OEM solutions, validated designs, or coengineered hardware/software offerings.
  • Ability to translate hardware constraints and opportunities (CPU/GPU, memory, storage tiers, networking) into clear product requirements and roadmaps.
  • Demonstrated ability to influence crossfunctional teams across engineering, alliances, sales, and partner organizations.
  • Foundational AI knowledge, including how GPU acceleration, inference workloads, and hybrid AI architectures impact platform design.
  • Strong executivelevel communication skills with the ability to articulate value to customers, partners, and internal stakeholders.

What you will bring

  • A deep appreciation for the realities of enterprise, onprem data and AI environments, including regulatory constraints, data gravity, performance sensitivity, and operational rigor. You bring a platform mindset and understand how hardware, software, and AI must work together to deliver predictable outcomes at scale.
  • You are comfortable balancing longterm platform strategy with nearterm partner execution, and you thrive in complex, multicompany product environments.
  • Prior experience working directly with Dell or similar OEM partners in product, engineering, alliances, or solutions roles.
  • Strong technical background in onprem or hybrid data platforms, distributed systems, and performancesensitive workloads.
  • Experience building enterprise data warehouse platforms on physical or hybrid infrastructure.
  • Handson exposure to GPUaccelerated systems, AI inference pipelines, and analyticsplusAI workloads.
  • Experience defining reference architectures, sizing models, and lifecycle management frameworks for onprem solutions.
  • Deep understanding of enterprise customer requirements around availability, security, compliance, upgradeability, and cost control.
  • Passion for delivering AIready data warehouse platforms that meet customers where their data lives.

Why We Think You'll Love Teradata

We prioritize a peoplefirst 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 wellbeing 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.

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Job Tags

Full time, Flexible hours,

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