Product Manager III, GenAI & ML Platform

Responsibilities

• 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 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, prioritizing 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.