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Senior Staff AI Product Manager

Bengaluru, Karnataka, India / Hyderabad, Telangana, India / Pune, Maharashtra, India, RemoteFull-timeLeadPosted Oct 19, 2026

Job description

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we are building the most complete AI and Knowledge Platform. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions and actions.

The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You’ll Do In this role, you will serve as a Sr.Staff Product Manager for Teradata’s Vibe Analytics products driving product vision, strategy, planning, roadmap, execution and adoption.

You will define and influence how Teradata integrates AI/ML technologies into our enterprise-scale platforms. The role You will own the analytics and algorithms layer of Vibe Analytics: the part where data scientists describe what they want and the product builds, runs and explains the analysis. You set what we build and in what order.

You are a senior individual contributor, not a people manager. This role comes with significant ownership and visibility into leadership. Technical depth into algorithms and data scientist workflow You must have Worked as a data scientist, or built products for data scientists, for several years. First-hand knowledge of how data scientists work: exploring data, engineering features, training and testing models, and moving them to production.

Strong technical depth. You can read a notebook, question an algorithm choice, and tell a good model from a lucky one. A record of shipping analytics or ML products that data scientists adopted.

What you will do

Decide which analytics functions and algorithms Vibe Analytics supports, and how well they must perform. Spend time with data scientists to find where their work breaks down. Work with engineering and data science to ship, and measure whether users trust the results. Track competitors and turn what you learn into clear priorities.

Description copied from Teradata's careers page. Read the full posting before you apply.

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