Назад
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4 дня назад

Staff Product Manager, Experimentation

129 000 - 161 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Product Manager, Experimentation (AI/Marketing Technology): Building the experimentation product strategy, roadmap, infrastructure, and workflows that enable high-velocity marketing tests with an accent on reinforcement learning, AI-enabled experimentation, data infrastructure, and statistical rigor. Focus on defining experimentation guardrails, partnering with Data Science and Engineering on applied ML and predictive models, and aligning cross-functional stakeholders around scalable platform capabilities.

Location: New York City, hybrid

Salary: $129,000–$161,000 USD annually, with eligibility for incentive compensation and benefits.

Company

hirify.global is a mobile gaming and sports betting company operating sportsbook, iGaming, horse racing, daily fantasy sports, television, and streaming products across the United States, Canada, and Puerto Rico.

What you will do

  • Own the product strategy and roadmap for experimentation capabilities used by marketing teams.
  • Translate business needs into requirements, technical specifications, PRDs, and incremental releases.
  • Lead development of reinforcement learning capabilities and AI-enabled experiment workflows.
  • Partner with Data Science and Engineering to define data requirements, infrastructure, methodologies, and feedback loops.
  • Define experimentation guardrails covering frequency caps, exposure limits, and statistical validity thresholds.
  • Drive adoption of experimentation capabilities and align Product, Engineering, Data, MarTech, and business stakeholders.

Requirements

  • 5–7 years of product management or product strategy experience, ideally in platform or infrastructure products.
  • Experience shipping complex cross-functional products and driving measurable business outcomes.
  • Experience with robust data infrastructure, feature stores, measurement systems, reporting frameworks, CDPs, or marketing automation platforms.
  • Strong knowledge of experimentation practices, quantitative analysis, metrics, and statistical validity.
  • Business acumen and experience prioritizing tradeoffs and communicating with executive stakeholders in regulated or high-stakes consumer environments.
  • Experience partnering with Data Science on applied machine learning and predictive models in production.

Nice to have

  • Experience building roadmaps for experimentation platforms.
  • Background in marketing technology, loyalty and rewards, promotions, or lifecycle marketing platforms.

Culture & Benefits

  • Health plans with fertility, family planning, mental health, and fitness programs.
  • Paid time off, sick leave, and 14 paid company holidays.
  • Annual bonus and long-term incentive opportunities based on performance.
  • 401(k) matching of up to 5%, commuter benefits, and pet insurance.
  • Medical, vision, dental, life, and disability insurance options.

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