Sr. Director, Product Management: Hardware AI & Data Platforms & Partnerships - US

Teradata is a leading company in cloud analytics and data platforms, and they are seeking a Senior Director of Product Management to lead product strategy and partnerships, particularly with Dell. The role focuses on integrating and optimizing Teradata’s AI and data warehouse platforms with Dell's hardware infrastructure to enhance performance and scalability for enterprise customers.

Responsibilities:

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

Requirements:

• 12+ years of product management experience in enterprise technology, on-prem infrastructure platforms, data warehousing, analytics, or AI systems
• Proven success leading hardware-aware platform products, hybrid cloud solutions, or large-scale on-prem 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 co-engineered 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 cross-functional 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 executive-level communication skills with the ability to articulate value to customers, partners, and internal stakeholders
• A deep appreciation for the realities of enterprise, on-prem data and AI environments, including regulatory constraints, data gravity, performance sensitivity, and operational rigor
• Comfortable balancing long-term platform strategy with near-term partner execution, thriving in complex, multi-company product environments
• Prior experience working directly with Dell or similar OEM partners in product, engineering, alliances, or solutions roles
• Strong technical background in on-prem or hybrid data platforms, distributed systems, and performance-sensitive workloads
• Experience building enterprise data warehouse platforms on physical or hybrid infrastructure
• Hands-on exposure to GPU-accelerated systems, AI inference pipelines, and analytics-plus-AI workloads
• Experience defining reference architectures, sizing models, and lifecycle management frameworks for on-prem solutions
• Deep understanding of enterprise customer requirements around availability, security, compliance, upgradeability, and cost control
• Passion for delivering AI-ready data warehouse platforms that meet customers where their data lives