4 дня назад
Staff Product Manager, Experimentation
129 000 - 161 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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