Full-Time Senior Staff Technical Product Manager - Enterprise Data

• Own the design, strategy and roadmap, and execution for enterprise data and GenAI platform capabilities—focusing on data lifecycle management, prompt orchestration, and output validation.
• Perform research, partner with x-functional teams, users and business leads, to understand the opportunities and ideate for enterprise grade design and solutions, with a focus on scale, quality, security, and self-service across the enterprise.
• Drive AI readiness and data initiatives, integrating governance, observability, and database capabilities into the platform.
• Collaborate closely with horizontal and vertical teams to embed AI-driven capabilities and experiences into key workflows, ensuring reusability, scalability, and trust across the ecosystem.
• Prototype and validate new Agentic AI and data-driven capabilities, translating early learnings into strategic product direction.
• Design solutions with clarity on how users will act and create value from the data and AI models; incorporates feedback loop instrumentation into the design.
• Champion a customer-centric and data-driven culture, promoting a deep understanding of how data, AI models, and decision intelligence come together to drive business outcomes.

• Typically requires a minimum of 12 years of related experience; a Masters degree with 8 years of enterprise software product management experience, including 5+ years in SaaS or data/AI platforms.
• Deep expertise with data platforms, cloud, scalability, event-driven systems, and workload management, data-architecture and governance
• Proven experience building or managing GenAI/LLM capabilities with deep understanding of Applied AI into the world of Data platform
• Background in AI/ML, Data Engineering, or Applied Data Science
• Exceptional communication and stakeholder management skills to translate complex AI concepts into actionable business specs with outcomes.
• Hands-on data expert: Develop deep domain expertise mastering datasets and metrics. Analyze data using tools of your choice (Excel, R, or Python) and build simple machine learning models as needed
• Experience with Agentic AI systems, autonomous agents, retrieval-augmented workflows, or orchestration frameworks

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