VP, Product Management, Data, Compute & Database

Teradata is a company that empowers organizations with better information through its cloud analytics and data platform. The VP of Product Management will define the vision and strategy for Teradata’s Database Pillar, focusing on enterprise-grade data platforms and ensuring leadership in compute and database technologies.

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

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
• 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