Senior Technical Product Manager: Data & AI Platforms

Baxter Planning Systems, Inc.; Bellprat; Hybrid; EUR 90,000 - 120,000; Full time

Job summary

Baxter Planning is seeking a Senior Technical Product Manager for its Barcelona office with flexible remote days. You will define how Baxter's data assets are structured, governed, and turned into products, partnering with Data Engineering and Data Science to ensure a reliable data lake and to own discovery, validation, and requirements for core data-driven product experiences.

This role requires technical fluency, customer discovery experience, and business judgment to translate technical

Qualifications

• 7+ years in product management, preferably data/platform/API products.
• Experience owning platform-level products or services.
• Strong technical fluency for data modeling, architecture, and API design.
• Experience with data governance and privacy regulations (GDPR, CCPA).
• Ability to build a roadmap independently and drive execution.
• Proven cross-functional leadership with minimal oversight.
• Fluency in English; AI-first mindset in product teams.

Responsibilities

• Define strategy for Baxter's data assets to create value across products.
• Own discovery and requirements for reporting and insights products.
• Partner with Data Engineering/Science to model and govern data in the lake.
• Set data quality, privacy, and governance standards.
• Define external data offerings roadmap and pricing with GTM/Finance.
• Lead cross-functional execution with Data, Eng, Legal, and GTM.

Skills

Product management

Data governance

Technical fluency

Roadmap leadership

Cross-functional

Stakeholder management

AI/ML awareness

Business acumen

Education

Bachelor's degree

Tools

JIRA

Confluence

Snowflake

Databricks

Job description

Baxter Planning is seeking a Senior Technical Product Manager for its Barcelona office with flexible remote days. You will define how Baxter's data assets are structured, governed, and turned into products, partnering with Data Engineering and Data Science to ensure a reliable data lake and to own discovery, validation, and requirements for core data-driven product experiences.

This role requires technical fluency, customer discovery experience, and business judgment to translate technical