Senior AI Product Manager - Life Sciences & GenAI Platform

Clarivate Analytics

Madrid

Hybrid

EUR 90,000 - 130,000

Full time

48 hours ago
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Job summary

Clarivate’s AI Innovation Team in Barcelona seeks a Senior Tech Product Manager to shape the AI strategy for Life Sciences & Healthcare. You will partner with product, engineering, and data science to design scalable, enterprise‑grade AI features and embed GenAI capabilities across the portfolio.

This internal role focuses on governance, observability, and prompt engineering, translating business challenges into AI opportunities.

Qualifications

  • Bachelor’s degree in CS, software engineering, data science, or related field.
  • 7+ years in Product Management in tech, especially data products.
  • 5+ years building AI/ML or GenAI products with LLMs.
  • MBA or Product Management cert and AI/ML courses preferred.

Responsibilities

  • Define and drive AI strategy and roadmap across the LS&H portfolio.
  • Partner with Product, Engineering and Data Science to design scalable AI solutions.
  • Translate business challenges into AI requirements with measurable impact.
  • Promote reusable service patterns and faster production transitions.
  • Oversee evolution of the Clarivate AI Platform and LLM Playground.
  • Define observability, tracing, and evaluation for governance and responsible AI.
  • Prioritize high‑impact use cases and drive adoption across portfolio.

Skills

GenAI
AI/ML products
LLMs
Prompt engineering
Jira
Confluence
Life sciences domain knowledge
Cross-functional collaboration

Education

Bachelor’s degree in CS/Software Eng/Data Science
MBA or Product Mgmt certification

Tools

Jira
Confluence

Job description

Clarivate’s AI Innovation Team in Barcelona seeks a Senior Tech Product Manager to shape the AI strategy for Life Sciences & Healthcare. You will partner with product, engineering, and data science to design scalable, enterprise‑grade AI features and embed GenAI capabilities across the portfolio.

This internal role focuses on governance, observability, and prompt engineering, translating business challenges into AI opportunities.

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