Teradata empowers enterprises to turn intelligence into autonomous action, grounding AI agents in deep business context and trusted data. As AI agents multiply, Teradata is the context foundation, governance layer, and performance backbone that companies need now. The Teradata Autonomous Knowledge platform puts AI into production across cloud, on-premises, and hybrid environments. Learn more at Teradata.com.

Teradata

Our companyAt Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.
What You’ll DoIn this role, you will lead the product strategy and execution for Teradata’s AI platform capabilities, with a focus on helping enterprises move from AI experimentation to trusted, governed, production-scale AI. You will shape the roadmap across Teradata VantageCloud Lake, ClearScape Analytics, AI Unlimited, ModelOps, LLMOps, enterprise vector capabilities, and open ecosystem integrations that enable customers to build, deploy, monitor, and scale AI/ML, generative AI, and agentic AI use cases on trusted enterprise data.
Success in this role requires a product leader who can translate rapidly evolving AI market needs into differentiated platform capabilities, customer value, and measurable business outcomes. You will define how Teradata enables customers to prepare data, train models, operationalize AI pipelines, integrate with leading LLM providers, manage model governance, and activate AI-driven insights at enterprise scale while maintaining performance, cost efficiency, openness, and trust.Own and champion the product vision, strategy, and roadmap for Teradata’s AI platform portfolio, including VantageCloud Lake, ClearScape Analytics, AI Unlimited, ModelOps, LLMOps, enterprise vector capabilities, and AI/ML lifecycle managementDefine platform capabilities that enable customers to build, test, deploy, monitor, and govern AI/ML, generative AI, and agentic AI solutions using trusted enterprise dataPartner with engineering, architecture, data science, cloud, security, and go-to-market teams to translate AI strategy into scalable product executionLead and develop a global team of product managers responsible for roadmap definition, prioritization, customer discovery, launch readiness, and product adoptionEngage with customers, field teams, partners, and executive stakeholders to identify AI platform use cases, adoption barriers, market opportunities, and competitive differentiationDrive product decisions around open ecosystem interoperability, including Python, Jupyter, open table formats, cloud data lakes, external model providers, open-source models, and leading cloud LLM servicesShape capabilities that support in-database analytics, feature engineering, model training, model deployment, real-time scoring, vector search, retrieval-augmented generation, and governed AI operationsEstablish clear success metrics for adoption, usage, time to value, revenue impact, customer outcomes, platform performance, and AI workload efficiencyCreate compelling product narratives that connect Teradata’s AI platform capabilities to business value, trusted AI, operational scale, and differentiated enterprise outcomesInfluence organization-wide priorities that accelerate adoption of Teradata’s AI platform and strengthen Teradata’s market position in enterprise AI, analytics, and data platforms
Who You’ll Work WithYou will lead a global product management team and work closely with engineering, architecture, data science, cloud platform, security, customer success, sales, partners, and executive leadership. This team is responsible for advancing Teradata’s AI platform strategy and enabling customers to operationalize AI on trusted, governed data at enterprise scale. As the AI Platform Product Management Leader, you will provide strategic product direction, market insight, and execution discipline to align Teradata’s AI innovation with customer needs and business growth.
What Makes You a Qualified CandidateProven experience leading product strategy for enterprise AI, analytics, data platforms, cloud platforms, or AI/ML infrastructureDemonstrated success defining and scaling platform products that drive customer adoption, revenue growth, and measurable business outcomesStrong understanding of AI/ML lifecycle management, ModelOps, LLMOps, generative AI, agentic AI, vector search, retrieval-augmented generation, and enterprise AI governanceExperience with cloud data platforms, data lakes, open table formats, Python-based analytics workflows, Jupyter notebooks, APIs, and integrations with open-source or cloud-native AI servicesAbility to translate complex technical capabilities into clear product strategy, customer value, go-to-market positioning, and executive-level decision frameworksAdvanced degree in a relevant field such as Computer Science, Data Science, Engineering, Business Analytics, or equivalent practical experience
What You’ll BringExecutive-level communication skills with the ability to align technical teams, business leaders, customers, and field organizations around a clear AI platform strategyDeep awareness of enterprise AI market trends, including trusted AI, governed AI operations, generative AI, agentic AI, AI-ready data, cloud economics, and open ecosystem interoperabilityStrong product judgment across data preparation, feature engineering, in-database analytics, model training, model deployment, model monitoring, vector capabilities, and production AI operationsA strategic, outcome-based mindset focused on customer adoption, differentiated value, platform scalability, cost efficiency, and measurable business impactExperience building repeatable product operating rhythms, including roadmap governance, prioritization frameworks, launch readiness, adoption tracking, and escalation pathsAbility to lead through influence across global teams and create strong partnerships with engineering, field, marketing, customer success, partners, and executive stakeholdersCustomer-first orientation with the ability to turn market signals, competitive insights, and enterprise AI adoption patterns into actionable product direction
As the AI Platform Product Management Leader, you will help define how Teradata enables the next generation of enterprise AI. Your work will directly shape the capabilities customers use to experiment faster, operationalize trusted AI, integrate with modern AI ecosystems, and scale production AI workloads across the enterprise.
Why We Think You’ll Love Teradata 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 an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.

AI Product Management Leader

What the job involves