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Commit is seeking an exceptional Senior AI Product Manager to lead product strategy and execution across multiple AI-driven and software initiatives. This is a senior, hands-on role for a builder who has shipped AI-native products themselves and wants to own them end to end. From the first discovery call to shipping to production. You thrive in complex, multi-project environments and are fluent in what it actually takes to turn an LLM-powered idea into something that holds up under real users and real data.
What you'll do
Define and communicate product strategy and roadmap across multiple domains and client engagements.
Own AI products end to end, from discovery through design, development, and launch
Translate customer needs, market trends, and business objectives into clear product requirements and measurable outcomes.
Partner with engineering, design, data science, and delivery teams to ensure products meet high standards of usability, scalability, and technical integrity.
Manage prioritization and release planning across competing client and business needs.
Participate in presales activities, including scoping, solution design, and client-facing presentations, to shape proposals and align client needs with the product vision.
Engage directly with clients and executives to define product vision, success metrics, and roadmap.
Drive innovation through experimentation, data-driven decisions, and a deep understanding of emerging AI capabilities and their limits.
Requirements
5+ years of product management or technical delivery experience.
Hands-on experience building Agentic AI or LLM-powered products shipped to production.
A working grasp of how LLMs actually behave: prompting, context design, agents, and where they break.
Deep understanding of product strategy, discovery, and Agile delivery processes.
Proven success owning complex, multi-disciplinary projects from concept to production, ideally several at once.
Demonstrated experience in presales and scoping, working with sales and delivery to size effort and present product value to clients.
Strong technical background and the ability to communicate effectively with engineering and data teams, including writing specs.
Excellent business acumen and communication skills (written and verbal, English fluency is a must).
Nice to have
Background in enterprise software, AI platforms, or internal tooling.