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 (AI/Agentic Products): Building and operating consumer-facing and enterprise AI products, including agentic workflows, AI-powered development tools, and evaluation systems, with an accent on product strategy, hands-on prototyping, and production LLM delivery. Focus on designing eval harnesses, defining measurable quality standards, partnering with engineering and responsible-AI functions, and mentoring AI product managers.
Location: New York City, hybrid
Salary: $230,000–$302,000 USD annually, with potential bonus and stock incentives.
Company
is a mobile gaming and sports betting company operating sportsbook, casino, horse racing, daily fantasy sports, and media products across the United States and Canada.
What you will do
- Own the strategy, roadmap, prioritization, and outcomes for AI product workstreams across growth, marketing, customer experience, product innovation, and enterprise acceleration.
- Build working prototypes with Claude Code, Cursor, Lovable, and modern agent frameworks.
- Design and operate evaluation systems, including golden sets, offline evaluations, online experiments, drift detection, regression detection, and human-rater pipelines.
- Partner with business stakeholders, forward-deployed engineers, AI software engineers, AI platform teams, Trust & Safety, Responsible AI, and Legal.
- Define AI-native product management practices, tooling, documentation, and reusable patterns across the organization.
- Mentor and supervise AI product managers while raising the standard of product management across .
Requirements
- 10–12+ years of product management experience, including 3+ years shipping AI or LLM-powered products in production.
- Hands-on experience building prototypes, agents, evaluation systems, MCP servers, or code contributions with modern AI development tools.
- Strong technical depth in coding, system design, evaluation workflows, and collaboration with engineering teams.
- Working knowledge of MCP, orchestration patterns, tool use, retrieval, context engineering, prompt evaluation, and runtime observability.
- Experience designing or operating ML or LLM evaluation systems at meaningful scale.
- Player-coach leadership experience and strong written communication across one-pagers, decision memos, RFCs, and postmortems.
Culture & Benefits
- Production-focused AI organization with an emphasis on small, fast, instrumented teams and eval-first delivery.
- Health, vision, dental, life, and disability insurance, with mental health, fertility, family planning, and fitness programs.
- Paid personal time off, sick leave, and 14 paid company holidays.
- 401(k) matching of up to 5%, commuter benefits, pet insurance, annual bonuses, and long-term incentive opportunities.
- Equal employment opportunity and reasonable accommodation support throughout the hiring process.
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