Digital Product Manager, Agentic AI Platform

Role overview Own the vision and growth of an enterprise platform for building, deploying, and governing AI agents. You will guide the platform from early pilots toward broader organizational use, turning business needs and emerging AI capabilities into a practical roadmap, useful workflows, and measurable results. The work involves close partnership with engineering, architecture, data science, design, and business teams.

Responsibilities - Set product strategy and roadmap, balancing reusable platform capabilities, scalability, and organizational needs. - Turn stakeholder input into prioritized initiatives, user stories, acceptance criteria, and backlogs in collaboration with delivery teams. - Create or guide prototypes, agent workflows, and proofs of concept using AI-assisted or low-code tools to evaluate product ideas. - Support adoption through clear communication, user experience improvements, onboarding, and knowledge sharing. - Define and track measures such as adoption, reliability, cost efficiency, user satisfaction, and return on investment. - Incorporate responsible AI, security, privacy, and compliance considerations into product decisions and iterative delivery.

Requirements - Bachelor’s degree in a technical, business, or related field, or equivalent professional experience. - Typically at least five years in product management, product ownership, or a related area involving enterprise technology, data, AI/ML, or platforms; candidates with less experience and direct AI or developer platform ownership may also be considered. - Understanding of agentic AI, AI/ML concepts, and agent workflows, with the ability to explain them to varied audiences. - Experience setting product direction, managing roadmaps and priorities, and translating business needs into scalable technology solutions. - Strong communication, collaboration, stakeholder management, and problem-solving skills; able to work independently and adapt to changing priorities. - Familiarity with cloud platforms, APIs, and AI development tools, plus experience with prototyping or product discovery.

Nice to have AWS, LangGraph, LangChain, or other agent frameworks; LLM platforms; or experience in clinical trials, life sciences, or another regulated industry.

Benefits and work setup Remote work is available from the United States or Canada, with working hours aligned to Eastern Time. The posting lists competitive compensation, health and dental coverage, paid time off and holidays, flexible remote arrangements, wellness programs, and professional development.