7 дней назад
Product Manager, Experimentation Platform (AI)
143 000 - 154 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager, Experimentation Platform (AI): Building and evolving an AI-powered experimentation operating system for hypothesis management, experiment configuration, traffic allocation, measurement, statistical analysis, and rollout with an accent on reducing testing complexity and accelerating product decisions. Focus on applying AI to hypothesis generation, variant creation, experiment analysis, platform adoption, and organizational learning at scale.
Location: Boston, Massachusetts; candidates must be based in Boston, MA and comply with the team’s hybrid work schedule
Annual base pay: $143,000–$154,000
Company
is an ecommerce company building technology and shopping experiences for the home.
What you will do
- Own the strategy, roadmap, and outcomes for ’s experimentation platform.
- Lead the Experimentation Platform squad and guide the evolution toward an AI-powered experimentation operating system.
- Partner with product, engineering, data science, machine learning, analytics, and business teams to identify workflow bottlenecks.
- Enable teams to create hypotheses, launch experiments, measure impact, and act confidently on results.
- Expand platform adoption and reduce the engineering effort required to run experiments.
- Apply AI to hypothesis generation, variant creation, analysis, and organizational learning.
Requirements
- 5+ years of product management experience.
- Experience driving value and optimization for mature, widely adopted platform products.
- Strong user empathy and experience collaborating with engineers, analysts, data scientists, product managers, and business stakeholders.
- Proven success evangelizing platform capabilities and driving adoption.
- Technical and analytical depth in experimentation methodologies, statistical concepts, measurement frameworks, experiment design, metrics, and interpretation of results.
- Bachelor’s degree in Computer Science, Computer Engineering, or equivalent education and experience.
Culture & Benefits
- Work with a foundational platform used by customer-facing teams across .
- Collaborate across product, engineering, data, machine learning, analytics, and business functions.
- Access a comprehensive package that may include medical, financial, equity, bonus, commission, and other benefits depending on the position offered.
- provides reasonable accommodations for qualified individuals with disabilities during the application and interview process.
- Equal opportunity employment in a diverse community of innovators and problem-solvers.
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