AI Product Senior Director

FanDuel•New York City, NY

2d•Hybrid

About The Position

This is a reimagined product management leadership role for the agentic era, with direct influence over the way we build consumer-facing and enterprise AI. You will not just measure customer delight, write specs, and triage tickets. You will also build alongside our engineers with AI as your primary force multiplier. You will prototype with Claude Code, Cursor, and Lovable; design and operate the evaluation harnesses that decide what ships; and treat your own PM workflow as a system to instrument, automate, and continuously improve. Our AI portfolio at FanDuel includes consumer-facing chat experiences, agentic marketing workflows and automation, AI-powered product and software development, and more. As a senior director-level player-coach, you will own one high-leverage agentic product surface end-to-end in collaboration with product managers and designs in tech and commercial, while also mentoring and raising the bar for how Product Management is practiced at FanDuel. You will lead a team of AI PMs that interface directly with business stakeholders, codify patterns for how product management is done in the AI era, and shape the discipline of product management more widely. If your reflex when you see a problem is to open a terminal and an agent harness before you open a Google Doc, this role is for you. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

Requirements

10-12+ years of product management experience, including 3+ years shipping AI and/or LLM-powered products in production.
Demonstrated fluency building with modern AI development tools.
You can point to prototypes, agents, evals, MCP servers, or PRs you have personally built — not just shipped through others.
Strong technical depth: comfortable reading and writing code, comfortable in system design conversations, comfortable in an eval notebook. You don't need to be a senior engineer, but engineers should want to pair with you.
Working understanding of agentic infrastructure: MCP, orchestration patterns, tool use, retrieval, context engineering, prompt evaluation, and runtime observability.
Track record operating as a player-coach — elevating peers and shaping practice without org-chart authority.
Demonstrated experience designing or operating evaluation systems for ML or LLM products at meaningful scale.
Sharp written communicator with a strong bias toward written artifacts — one-pagers, decision memos, RFCs, postmortems.

Responsibilities

Mentor and coach AI PMs across the AI and wider product org through pairing, design reviews, written critique, prototype tear-downs, and a shared pattern library you help author.
Supervise multiple AI product managers in the AI Engineering Organization, while also raising the bar for FanDuel’s wider product management practice.
Own end-to-end for one or more workstreams (growth & marketing, customer experience, product innovation, enterprise acceleration), including strategy, roadmap, prioritization, and outcomes.
Build working prototypes with Claude Code, Cursor, Lovable, and modern agent frameworks.
Design and operate evaluation systems — golden sets, offline evals, online experiments, drift and regression detection, human-rater pipelines — for every surface you own.
Define what "good" means in numbers before you ship.
Partner daily with Business partners, FDEs, AI SWE pods, AI Platform, Trust & Safety, Responsible AI, and Legal.
Translate ambiguous business problems into agent-shaped solutions that respect our regulatory and RG posture.
Set the bar for AI-native PM craft across the function: write and maintain CLAUDE.md files, build MCP-aware tooling for the PM team, share patterns in writing, and pair with other PMs on hard problems.