Senior Product Manager, AI Enablement

About the Role You will be the first product manager in the AI Enablement function and you will build AI workflows and tools hands on. You will partner with business teams across the organization to identify high leverage problems and ship AI solutions quickly. You will translate validated use cases into well scoped initiatives and write clear product specs bridging business needs and technical implementation. You will document shipped solutions and create templates and training resources to help teams adopt and extend AI tools independently.

Requirements Bachelor’s degree in a relevant field, or equivalent professional experience. 6+ years of product management or comparable technical product experience, with a clear track record of personally shipping software or automation, not only managing delivery through others. Demonstrated proficiency with AI workflow automation platforms (such as n8n, Make, or Zapier) and direct experience building with LLM tooling (Claude, OpenAI APIs, Vertex AI, LangChain, or similar). Working understanding of LLMs, retrieval-augmented generation, evaluations, and agentic workflows, and the judgment to know which approach fits which problem. Experience working directly with business teams to map workflows, design solutions, and deliver measurable operational outcomes. Strong written and verbal communication skills, with the ability to move between executive updates, hands-on working sessions with end users, and technical conversations with engineers. Comfort operating in a fast-moving, distributed organization where priorities shift and ambiguity is part of the work. Bias to action, strong ownership, and a problem-solving mindset.

Responsibilities Develop a working understanding of the organization’s business units, team structures, and operational priorities, and shape where the function invests. Conduct structured discovery across business teams to map pain points, manual workflows, and AI opportunity areas, and audit AI tools or pilots already in flight to understand what has been tried, what has worked, and what has not. Establish the core PM operating model for the function, including intake process, prioritization framework, backlog structure, and delivery cadence. Maintain a prioritized pipeline of high-impact use cases across the organization, prioritizing ruthlessly and making clear trade-offs as new opportunities surface. Partner with the Director of AI Enablement and engineering to translate validated use cases into well-scoped, deliverable initiatives, and write clear product specs that bridge business needs and technical implementation. Build and configure AI solutions hands-on, ranging from copilots and chat assistants to workflow automations and agent-driven orchestration, using tools such as Claude, OpenAI APIs, n8n, Make, Zapier, LangChain, and similar platforms. Drive delivery from requirements through launch, coordinating across engineering, business stakeholders, and the broader AI Enablement team. Define baseline metrics for adoption and impact, then track adoption and outcome metrics for shipped solutions and iterate based on what the data and user feedback are telling you. Build feedback loops with business team users to continuously improve deployed tools and workflows. Contribute to the self-enablement model by creating documentation templates prompt libraries, and training resources that help business teams adopt and extend AI tools independently. Document shipped solutions clearly, covering what was built, how it works, how to maintain it, and what comes next, so each new solution makes the next one faster to ship. Coordinate closely with Engineering, Security, Legal, and Compliance to ensure that AI solutions meet the standards required of a regulated exchange, media and data & indices business. Represent the AI Enablement function in working sessions with business unit leaders, communicating progress, trade-offs, and outcomes in clear, non-technical terms.

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