VP, Product Management, Data, Compute & Database

Teradata Operations•San Diego, CA

About The Position

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 As VP of Product Management, Data Platforms & Engine, you will own the vision, strategy, and execution of Teradata's Database Pillar, defining the future of our compute, data, platforms and database engine capabilities. You will be accountable for the product roadmap for Teradata's compute, data and database technologies, ensuring continued leadership in: Enterprise-grade data platforms, including support for open table formats Elastic compute and intelligent resource orchestration Industry-leading price-performance and workload management Seamless hybrid and multi-cloud deployment Advanced query optimization and execution engines Your mandate is to deliver a best-in-class enterprise compute, data platform and database engine that powers mission-critical analytics, AI/ML workloads, and real-time decisioning on a global scale. Success means strengthening Teradata's competitive position in analytics and AI, accelerating cloud and hybrid adoption, and ensuring our platform remains the trusted foundation for the world's most complex data environments. This role reports to the VP, Product Management, Core Platforms and is a key member of the Product Management leadership team. In this role you will Set vision and strategy for Teradata's compute, data and database engine portfolio, aligned with company strategy and market trends. Own the roadmap for capabilities across compute, data, performance, elasticity, workload management, security, and hybrid/multi-cloud deployment. Partner with engineering leadership to define priorities for query optimization, workload orchestration, parallel processing, storage engines, and multi-cloud scaling—and ensure predictable, high-quality delivery. Engage deeply with customers on performance, scalability, and workload tuning needs to inform roadmap and strengthen product-market fit. Collaborate cross-functionally with solution architects, sales engineering, customer success, and marketing to ensure product capabilities map directly to enterprise requirements and are positioned effectively in the market. Track and out-innovate the competition by maintaining a point of view on the database and analytics landscape (e.g., Snowflake, Databricks, BigQuery, Redshift, SQL Server, Oracle) and sharpening Teradata's differentiation. Drive business outcomes by managing investments, prioritizing high-impact initiatives, and measuring success with clear product and business KPIs (adoption, consumption, performance, NPS, etc.). Represent Teradata externally as a thought leader in next-generation database, analytics, and AI platforms with customers, partners, and industry influencers.

Requirements

10+ years of product management experience in enterprise software, with substantial focus on compute engines, data platforms and databases
Proven ability to drive both strategy and execution in compute/data/database systems, distributed workload processing, and cloud-native architectures.
Hands-on knowledge of compute engines, data formats, workload management & optimization, distributed processing, and security at scale.
Experience with cloud service models (IaaS, PaaS, SaaS) and multi-cloud deployment across AWS, Azure, and GCP.
Demonstrated success leading global product efforts and delivering complex enterprise software in partnership with engineering.
Track record of engaging directly with customers on performance, scalability, and workload tuning, and translating those needs into roadmap and features.
Strong financial, strategic, and operational acumen, including experience managing roadmaps, budgets, and investment trade-offs.
Excellent executive communication skills with the ability to influence senior stakeholders and represent the company externally.

Nice To Haves

Deep technical familiarity with compute engines, data platforms, query optimization, database engines, and elastic scaling models.
Experience with vectorized query processing, GPU-accelerated workloads, and AI/ML integrations with database platforms.
Strong understanding of the competitive ecosystem (e.g., Databricks, Snowflake, BigQuery, Redshift, SQL Server, Oracle, etc.) and how Teradata differentiates.
Experience building data-intensive products that support both OLTP and OLAP workloads or converged/HTAP-style architectures.
Passion for compute engines, data platforms, and database innovation and a commitment to delivering measurable value and performance for enterprise customers.
You combine technical depth with business leadership.
You can articulate a bold, long-term vision for Teradata's database while driving disciplined execution in the near term.

Responsibilities

Set vision and strategy for Teradata's compute, data and database engine portfolio, aligned with company strategy and market trends.
Own the roadmap for capabilities across compute, data, performance, elasticity, workload management, security, and hybrid/multi-cloud deployment.
Partner with engineering leadership to define priorities for query optimization, workload orchestration, parallel processing, storage engines, and multi-cloud scaling—and ensure predictable, high-quality delivery.
Engage deeply with customers on performance, scalability, and workload tuning needs to inform roadmap and strengthen product-market fit.
Collaborate cross-functionally with solution architects, sales engineering, customer success, and marketing to ensure product capabilities map directly to enterprise requirements and are positioned effectively in the market.
Track and out-innovate the competition by maintaining a point of view on the database and analytics landscape (e.g., Snowflake, Databricks, BigQuery, Redshift, SQL Server, Oracle) and sharpening Teradata's differentiation.
Drive business outcomes by managing investments, prioritizing high-impact initiatives, and measuring success with clear product and business KPIs (adoption, consumption, performance, NPS, etc.).
Represent Teradata externally as a thought leader in next-generation database, analytics, and AI platforms with customers, partners, and industry influencers.

Benefits

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.

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