AI Product Management Leader
Skills
Agile MethodologiesArtificial IntelligenceBusiness DevelopmentCross-Functional Team LeadershipData AnalysisEnterprise SoftwareGo-To-Market Strategy
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Proven experience leading product strategy for enterprise AI analytics data platforms cloud platforms or AI ML infrastructure
- Demonstrated success scaling platform products that drive customer adoption revenue growth and measurable business outcomes
- Strong understanding of AI ML lifecycle management ModelOps LLMOps generative AI agentic AI vector search retrieval augmented generation and enterprise AI governance
- Experience 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 services
- Ability to translate complex technical capabilities into clear product strategy customer value go-to-market positioning and executive-level decision frameworks
- Advanced degree in a relevant field such as Computer Science Data Science Engineering Business Analytics or equivalent practical experience
Nice to have
- Executive communication
- Strategic mindset
- Customer-first orientation
- Cross-functional influence
- Outcome-based mindset
- Product judgment
Day to day
- Lead the product strategy and execution for Teradata’s AI platform portfolio, turning emerging AI market needs into trusted enterprise capabilities.
- Shape roadmaps across AI platform offerings to help customers build deploy monitor and scale AI ML generative AI and agentic AI use cases.
- Partner across engineering architecture data science cloud security and go-to-market teams to deliver scalable product execution and measurable customer value.
- Engage customers partners field teams and executives to uncover use cases adoption barriers and differentiation opportunities while driving adoption and business outcomes.