Director, AI Platform & Enablement

Bullish•New York, NY

8d•$275,000 - $340,000

About The Position

CoinDesk, an independent Bullish Group subsidiary, is hiring a leader to own enterprise AI strategy and delivery across Bullish Group. The role will identify valuable AI opportunities across business functions, set priorities, lead delivery, and be accountable for measurable business results. As the first hire in the function, the leader will work hands-on while establishing and growing a team. The position combines AI architecture and platform leadership with business enablement. The leader will develop shared AI capabilities in partnership with Platform Engineering, oversee AI tool rollout and adoption, and work directly with business teams to redesign workflows and deliver solutions. The role reports to the Chief Technology Officer and reports progress, results, and strategic priorities to the CTO and COO. Bullish describes its engineering culture as focused on security, compliance, technical excellence, ownership, and high-quality outcomes in the digital asset industry.

Requirements

10+ years of experience in technical roles, including leadership of engineering or platform teams and a track record of delivering operational change.
Experience building and developing technical teams, including hiring, setting direction, and managing delivery.
Deep, current knowledge of AI models, agent systems, MCP, and RAG, backed by hands-on experimentation with emerging capabilities.
Ability to assess new AI approaches, identify practical applications, and guide adoption into production.
Hands-on experience building and deploying production AI systems, including agent workflows, tool integrations, evaluation, and guardrails.
Experience with tools such as LangChain, LangGraph, and Claude or OpenAI APIs.
Experience designing and operating secure, scalable AI platforms, including custom connectors, agent deployment pipelines, and shared infrastructure.
Ability to lead architecture decisions and assess engineering trade-offs.
Track record of working directly with business leaders and teams to identify problems, redesign workflows, drive AI adoption, and deliver measurable results.
In-house experience at a technology-focused organization, with responsibility for setting strategy, prioritizing investment, and delivering outcomes.
Clear communication and sound judgment, with ability to influence senior executives, guide engineers, and help business teams put AI to use.

Nice To Haves

Experience in digital assets, financial services, or media.
Experience redesigning business processes or leading operational improvement programs.
Experience establishing a new function, including hiring the team, setting priorities, and putting operating practices in place.
Active participation in the AI community through technical writing, speaking, open-source contributions, or practitioner groups.

Responsibilities

Own enterprise AI strategy for Bullish Group, identify valuable opportunities, set priorities, and take responsibility for delivery.
Build and lead the AI Platform & Enablement team, partnering with recruiting to hire, develop, and retain team members.
Own the AI capability roadmap and lead development of shared services, including agents, connectors, a skills library, and discovery tools.
Partner with Platform Engineering on infrastructure, deployment, reliability, and provider management.
Lead enterprise AI tool rollout, access, administration, and adoption; coordinate vendor requirements with Platform Engineering and connector security reviews with Security.
Build practical employee training programs, including baseline training, low-code workshops, bespoke training, and internal hackathons.
Work directly with business teams to redesign workflows and deliver solutions, building forward-deployed engineering capacity as the function grows.
Establish ownership for deployed solutions, including maintenance, support, and continued improvement, and equip business teams to manage suitable capabilities independently.
Set and track adoption, efficiency, and return-on-investment measures; adjust priorities and execution when results fall short.
Evaluate advances in AI to inform platform and tooling decisions, and report progress, results, and strategic priorities to the CTO and COO.