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Senior Product Manager, Internal AI

United Kingdom, London · Job Posted February 04, 2026
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Job Description

Lead the effort to build transformative internal tools and platforms. This role is pivotal in leveraging Generative AI and Machine Learning to significantly enhance operational efficiency, automate critical business processes, and dramatically improve data delivery across the enterprise. The ideal candidate will drive the definition and adoption of cutting-edge AI technologies, focusing specifically on Agentic AI to create automated workflows in high-value areas like Go-To-Market (GTM) and Engineering.

Job Responsibility

  • Define and champion a compelling product vision and roadmap for internal AI tools
  • Work in deep collaboration with the strong internal AI Engineering team, serving as the primary product voice
  • Maximize the utilization of Optimizely's internal AI Orchestration Platform, Opal
  • Lead the end-to-end product lifecycle for internal AI solutions
  • Maintain a comprehensive understanding of the entire internal and external AI tool landscape
  • Identify, prioritize, and execute opportunities for transformative change by deploying Agentic AI
  • Partner closely with GTM, Engineering, Data Science, and IT teams
  • Thrive in an environment with a fast-paced, fast release cycle
  • Define key performance indicators (KPIs) and metrics to measure the impact of internal AI solutions

Requirements

  • 5+ years of Product Management experience
  • At least 2+ years focused on AI/ML-driven products, internal tools, or enterprise software solutions
  • Proven experience defining and launching products that utilize Generative AI models (LLMs/VLMs) and/or Machine Learning techniques
  • Demonstrable experience working in an agile environment with a fast-paced, fast release cycle
  • Deep familiarity with the commercial and open-source AI ecosystem, encompassing user-facing tools (Gemini, ChatGPT) and enterprise development platforms
  • Experience collaborating successfully with internal engineering or data science teams on platform development and deployment
  • Exceptional communication, documentation, and organizational skills, with the ability to convey complex technical concepts to both technical and non-technical executive audiences
  • Outstanding presentation skills capable of influencing decision-makers and driving internal adoption of new technologies
  • Bachelor’s degree preferred

Nice to have

  • Direct experience with Agentic AI frameworks and architectures for process automation
  • Experience with internal AI orchestration platforms or MLOps tools (e.g., MLflow, Kubeflow)
  • Experience in a B2B or Enterprise environment, specifically targeting efficiency improvements in Go-To-Market (GTM) and Engineering functions

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