3 дня назад
Staff Product Manager, Experimentation (AI)
129 000 - 161 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Product Manager, Experimentation (AI): Building and scaling experimentation capabilities for marketing teams with an accent on reinforcement learning, AI-enabled workflows, data infrastructure, and statistical rigor. Focus on defining product roadmaps, establishing experimentation guardrails, integrating MarTech and data platforms, and driving cross-functional delivery in a regulated gaming environment.
Location: New York City, hybrid
Salary: $129,000–$161,000 USD per year
Company
Group is a mobile gaming company operating sportsbook, casino, horse racing, daily fantasy sports, television, and direct-to-consumer 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 product 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 establish data infrastructure, measurement systems, and feedback loops.
- Define experimentation guardrails, including frequency caps, exposure limits, and statistical validity thresholds.
- Align Product, Engineering, MarTech, Data, Analytics, and business stakeholders while driving adoption across the organization.
Requirements
- 5–7 years of product management or product strategy experience, ideally in platform or infrastructure products.
- Experience shipping complex, cross-functional products and building measurable business outcomes.
- Experience with data-driven platforms using data infrastructure, feature stores, measurement systems, and reporting frameworks.
- Strong knowledge of experimentation practices, quantitative analysis, metrics, and statistical validity.
- Ability to work with Data Science on applied machine learning and predictive models in production.
- Strong business acumen, executive communication, and cross-functional influence in regulated or high-stakes consumer environments.
Nice to have
- Direct experience building product roadmaps for experimentation platforms.
- Experience in marketing technology, loyalty and rewards, promotions, or lifecycle marketing platforms.
Culture & Benefits
- Hybrid work environment based in New York City.
- 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) program with up to a 5% company match, commuter benefits, and pet insurance.
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