8 дней назад
AI Product Senior Director
230 000 - 302 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Product Senior Director (Agentic AI/LLM): Owning agentic product surfaces across consumer experiences, marketing workflows, product development, and enterprise acceleration with an accent on AI-native product management, prototyping, and evaluation rigor. Focus on designing eval systems, building agentic solutions with modern AI tools, and mentoring AI product managers across the organization.
Location: New York City; hybrid role
Salary: $230,000–$302,000 USD annually, plus potential bonus, long-term incentives, and stock participation.
Company
Group is a mobile gaming and sports betting company operating sportsbook, casino, horse racing, daily fantasy sports, television, and streaming products across the United States, Canada, and other international markets.
What you will do
- Own one or more AI product workstreams end-to-end, including strategy, roadmap, prioritization, and outcomes.
- Build consumer-facing and enterprise AI products, including chat experiences, agentic marketing workflows, automation, and product development tools.
- Prototype with Claude Code, Cursor, Lovable, and modern agent frameworks.
- Design and operate evaluation systems covering golden sets, offline evaluations, online experiments, drift detection, regression detection, and human-rater pipelines.
- Partner with business stakeholders, FDEs, AI software engineering pods, AI Platform, Trust & Safety, Responsible AI, and Legal.
- Mentor AI product managers and establish AI-native product management practices across the organization.
Requirements
- 10–12+ years of product management experience, including 3+ years shipping AI or LLM-powered products in production.
- Demonstrated hands-on experience building prototypes, agents, evaluation systems, MCP servers, or pull requests with modern AI development tools.
- Strong technical depth, including the ability to read and write code, participate in system design discussions, and work with evaluation notebooks.
- Working knowledge of MCP, orchestration patterns, tool use, retrieval, context engineering, prompt evaluation, and runtime observability.
- Experience operating as a player-coach and designing or operating ML or LLM evaluation systems at meaningful scale.
- Strong written communication skills and experience producing one-pagers, decision memos, RFCs, and postmortems.
Culture & Benefits
- Work in a CTO-sponsored AI Engineering function focused on production AI systems and eval-first development.
- Collaborate closely with Forward Deployed Engineers, software engineers, and AI Platform engineers.
- Health, vision, dental, fertility and family planning, mental health, and fitness benefits.
- Paid time off, sick leave, 14 paid company holidays, commuter benefits, and pet insurance.
- 401(k) matching of up to 5%, annual bonus opportunities, and long-term incentive opportunities.
- Equal employment opportunity and reasonable workplace accommodations are provided.
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