Senior Product Manager, AI Enablement

Bullish•New York, NY

2d•$205,000 - $270,000

About The Position

Bullish is at an inflection point. Across Bullish and CoinDesk, we are reshaping how business teams work, and AI is central to that ambition. We are building the AI Enablement function from the ground up, and we are looking for a Senior Product Manager who can help lead that build alongside the Director, AI Enablement. This is a hands-on, builder role. You will not be a traditional product manager who writes specs and waits for engineering. You will configure, ship, and iterate on AI workflows and tools yourself, partnering directly with business teams across Bullish Exchange, CoinDesk Data & Indices, and CoinDesk Insights to find the highest-leverage problems and put working AI solutions in front of users fast. You will be the first product hired in the function and will work as a force multiplier to the Director. This is a rare opportunity to help shape both the product portfolio and the operating model of a brand new function inside a regulated global digital asset platform.

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.

Nice To Haves

Experience in digital assets, financial services, or media.
Background in business process redesign, operational excellence, or internal tooling.
Experience helping build a function, product line, or team from scratch.
Familiarity with Claude Skills, MCP servers, or similar agentic patterns deployed inside a working organization.
Comfort being the public face of a product or function with internal stakeholders, including senior executives.

Responsibilities

Develop a working understanding of Bullish and CoinDesk’s business units, team structures, and operational priorities, and use that understanding to 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 both Bullish and CoinDesk, 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.