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.
Requirements
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.