Product Manager III, GenAI & ML Platform

Product Manager III, GenAI & ML Platform

Product Manager III, GenAI & ML Platform I will work closely with engineering, machine learning, and product leadership to drive adoption, shape priorities and ensure that platform capabilities align with real business needs. I will help bridge strategy and execution, supporting both roadmap delivery and the day‑to‑day orchestration required to bring impactful AI/ML products to life.

• Define and support the execution of product strategy and roadmap for GenAI and ML platform capabilities, aligning investments with business priorities and platform adoption goals.
• Partner closely with engineering, data science, and cross‑functional stakeholders to translate complex platform and customer needs into clear product requirements, prioritized backlogs and actionable deliverables.
• Drive adoption and usability of internal AI platform tools and workflows, ensuring they effectively meet user needs and scale across teams.
• Lead product development across the lifecycle—from concept through launch and iteration—balancing technical feasibility, user experience, and operational effectiveness.
• Use data, experimentation and stakeholder feedback to evaluate performance, inform prioritization decisions and continuously improve product outcomes.
• Contribute to shaping scalable, reliable and secure AI/ML platform capabilities, including workflow automation, productivity tools and model‑enabled systems.
• Collaborate across multiple technical domains, navigating ambiguity and evolving priorities to deliver incremental value while supporting a longer‑term platform vision.
• Communicate clearly and effectively, translating complex technical concepts into compelling product narratives for both technical and non‑technical audiences.

• Bachelor’s degree or equivalent practical experience.
• 5+ years of product management or related experience, with ownership of product initiatives within a domain or across multiple teams.
• Experience defining product requirements, prioritising roadmaps and delivering technical products or platform capabilities in partnership with engineering teams.
• Strong analytical and decision‑making skills, with the ability to use data and insights to guide strategy, measure outcomes and navigate trade‑offs.
• Experience working on or supporting GenAI, machine learning platforms, developer platforms or other highly technical products.
• Familiarity with AI‑driven tools, workflow automation or productivity platforms and how they drive adoption and business impact.
• Understanding of AI/ML‑enabled products, platforms or workflows, including practical exposure to how AI‑driven systems are built and used.
• Ability to work effectively in highly technical and ambiguous environments, balancing hands‑on execution with strategic thinking.
• Strong communication and storytelling skills, with the ability to clearly articulate product strategy and simplify complex concepts.

• Experience working on or supporting GenAI, machine learning platforms, developer platforms or other highly technical products.
• Familiarity with AI‑driven tools, workflow automation or productivity platforms and how they drive adoption and business impact.
• Demonstrated ability to take products from early‑stage concepts through to scaled adoption.
• Strong balance of technical depth and product leadership, including experience collaborating closely with engineers and contributing to technical discussions.
• Experience driving platform adoption, including identifying user needs, prioritising features and improving usability and engagement.
• Experience operating in environments with high stakeholder demand and competing priorities, with the ability to bring structure and clarity.
• Understanding of operational considerations for platform products, including reliability, scalability and continuous improvement through data‑driven insights.
• Previous experience in a related technical role such as software engineering, machine learning science or similar.
• Masters or PhD degree in a technical discipline.