Senior Product Manager I (Product Optimization & Experimentation)
Контакты
137 200 - 184 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
aiproduct managementdata sciencejiraconfluencea b testingproduct strategyexperimentationdigital analyticsroadmapping
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$137к-184к/год
$150к$180кмедиана$210к
По похожим ролям (49) ~ $180к/год
На СНГ рынке: $4.2к/мес ($3.3к - $5.7к)
72
Хорошая вакансия
развернуть
Роль описана чётко и даёт возможность развивать продуктовую экспертизу в крупной международной компании, но зарплата ниже медианы рынка, а работа в офисе ограничивает гибкость.
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Ниже рынкаПонятная рольКрупный брендРабота в офисе
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Product Manager I (Product Optimization & Experimentation): Scaling experimentation capabilities across Disney Experiences web and mobile platforms with an accent on product strategy, A/B testing, analytics, and cross-functional enablement. Focus on designing experiments, establishing governance and operating models, improving experimentation infrastructure, and translating results into product and business decisions.
Location: Orlando, Florida, United States
Salary: $137,200–$184,000 per year, with potential bonus and/or long-term incentive units.
Company
Disney Experiences creates digital and physical guest experiences across parks, resorts, cruises, food and beverage, transportation, merchandise, and related digital products.
What you will do
Define the strategy, roadmap, operating model, and partner experience for experimentation services across web and mobile products.
Identify, scope, prioritize, and deliver experiments with Product, Engineering, Design, Analytics, Data Science, and business teams.
Guide experiment design, including hypotheses, audiences, success metrics, guardrails, power analysis, duration, and result interpretation.
Translate stakeholder needs into product requirements, user stories, workflows, and backlog priorities.
Improve experimentation platforms, data quality, measurement capabilities, automation, and portfolio reporting.
Requirements
At least 5 years of experience in product management, product optimization, experimentation strategy, digital analytics, or a related field.
Experience defining product strategy, building roadmaps, managing backlogs, writing requirements, and leading initiatives through discovery, delivery, launch, measurement, and iteration.
Strong knowledge of A/B testing and experimentation principles, including experimental design, statistical power, minimum detectable effect, success metrics, guardrails, and test interpretation.
Experience with experimentation or analytics platforms such as Adobe Target, Adobe Analytics, Optimizely, Contentsquare, or comparable tools.
Ability to use quantitative and qualitative data, lead complex cross-functional initiatives, and communicate analytical concepts to non-technical audiences.
Bachelor’s degree in a relevant discipline or equivalent work experience; Agile experience and familiarity with Jira and Confluence.
Nice to have
Experience with e-commerce, travel, hospitality, entertainment, consumer digital products, or enterprise experimentation programs.
Experience with web and mobile app ecosystems, behavioral or customer journey analytics, SQL, Tableau, UX, conversion optimization, design systems, or accessibility.
Familiarity with AI-enabled workflows, automation, or agentic solutions for experimentation.
Experience developing experimentation education, documentation, templates, playbooks, or enablement programs.
Culture & Benefits
Work with a matrixed organization spanning Product, Engineering, Design, Analytics, Data Science, and business teams.
Opportunity to build a culture of experimentation and evidence-based decision-making across multiple product domains.
Compensation may include a bonus and/or long-term incentive units.
Medical, financial, and other benefits may be provided based on the level and position.
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