Key skills
Product managementCompute enginesData platformsDatabase technologiesCloud-native architecturesWorkload managementQuery optimizationMulti-cloud deploymentExecutive communicationCustomer engagementOperational acumenStrategic acumenSQLAIMLAnalyticsSnowflakeBigQueryRedshiftDatabricksAWSAzureGCPOracleSQL ServerSaaSLeadershipProduct ManagementCommunicationCustomer SuccessSales
About this role
Teradata is a leading company in cloud analytics and data platforms. The VP of Product Management for Data Platforms & Engine will be responsible for defining the vision, strategy, and execution of Teradata’s Database Pillar, focusing on enterprise-grade data platforms and ensuring the company's competitive position in analytics and AI.
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