채용
보상
$145,400 - $195,000
복지 및 혜택
•Healthcare
•401(k)
•Equity
필수 스킬
Product Management
Data product management
Big data technologies
Data modeling
A/B testing
Data governance
SDLC
Data engineering
Data warehousing
Agile
Scrum
Job Posting Title:
- Senior Product Manager
- Experimentation Data and Tooling
Req ID:
10136615
Job Description:
Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.
The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.
Here are a few reasons why we think you’d love working here:
Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.
Commerce, Data & Identity provides the core product management functions for areas crucial to Disney’s media businesses. These include initiatives and products that power digital commerce, identity, and growth, as well as those that reach uniquely across The Walt Disney Company enterprise, such as messaging and privacy, among others. Additionally, it is responsible for the data engineering, science, and products for Disney Entertainment & ESPN, along with their interconnection with other parts of The Walt Disney Company.
Job Summary:
Disney Entertainment and ESPN Product & Technology (DEEP&T) is seeking a dynamic and visionary Senior Product Manager to drive the product roadmap for the Experimentation Data team. Reporting directly to the Senior Manager of Data Products within the Data Platform organization, this pivotal role will spearhead the development and expansion of Disney’s cutting-edge experimentation data platform within DEEP&T. This position is charged with shaping, planning, and launching groundbreaking data features that will revolutionize experimentation on Disney’s media products, driving unparalleled user experiences that captivate audiences worldwide.
Responsibilities and Duties of the Role:
- Drive the vision, strategy, and roadmap for the proprietary experimentation data platform and associated tools that support Disney Media & Entertainment streaming products (Disney+, ESPN+, Hulu) and other digital properties.
- Create and nurture cross-functional relationships to align technology initiatives with business goals and ensure successful program delivery launches.
- Provide product management expertise for the Experimentation Data engineering team and the products it supports by partnering with stakeholders in providing clear requirements and acceptance criteria, prioritizing work and removing any business-related roadblocks.
- Oversee the management, integration, and planning of data processes with associated upstream and downstream partner teams, ensuring seamless data flow to support timely and informed decision-making.
- Partner with the engineering team in architecting and deploying robust data pipelines that process experimental data with high efficiency and minimal latency. Develop and integrate APIs to deliver experiment results in near real-time, and design advanced analytical tools to enhance experiment analysis and outcome visualization.
- Drive awareness and engagement by delivering timely communications and targeted presentations to highlight feature launches and their business impact.
- Collaborate with cross-functional data and engineering teams to develop, test, and deliver high-quality products and features.
- Oversee end-to-end business readiness, including planning, sequencing, testing, enablement, launch, iteration, and support.
- Lead efforts to identify risks, resolve key blockers, and establish appropriate resolution mitigations.
- Establish a collaborative work environment that fosters shared understanding, transparency, autonomy, innovation, and continuous knowledge acquisition through systematic methodologies and measurable performance indicators.
Required Education, Experience/Skills/Training:
Basic Qualifications:
- 5+ years of product management experience delivering data products, services, and capabilities
- Proven track record in building and optimizing big data pipelines with emphasis on A/B testing, data governance, and reporting
- Strong understanding of big data technologies, data modeling, and data-driven decision-making
- Experience managing complex, cross-functional initiatives with multiple stakeholders
- Skilled in defining MVPs, planning iterative releases, and driving execution
- Highly analytical with strong technical, strategic thinking, and problem-solving abilities
- Effective at prioritizing in ambiguous environments and balancing competing demands
- Experience in using AI to help improve personal and team efficiencies
- Influential leader with experience driving alignment across organizational boundaries
- Comfortable operating in fast-paced, dynamic environments with frequent change
- Experienced in presenting to and collaborating with senior leadership
- Proficient in SDLC, data engineering, data modeling, data warehousing, and big data platforms
- Experience developing and publishing reporting solutions
- Hands-on experience with Agile methodologies, particularly Scrum
Preferred Qualifications:
- Experience using market-leading experimentation products (e.g. Amplitude, Adobe Target, Launch Darkly, etc.)
Required Education:
- Bachelor's degree Computer Science, Mathematics, Economics, Business or relevant experience
Additional Information
#DISNEYTECH
#CDI
The hiring range for this position in Seattle, WA is $145,400 - $195,000 per year, and in New York, NY is $145,400 - $195,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Job Posting Segment:
Product Management
Job Posting Primary Business:
PM - Data Product:
Primary Job Posting Category:
Product Management
Employment Type:
Full time
Primary City, State, Region, Postal Code:
Seattle, WA, USA
Alternate City, State, Region, Postal Code:
USA - NY - 7 Hudson Square
Date Posted:
2025-11-19
총 조회수
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총 지원 클릭 수
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모의 지원자 수
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Hulu (Disney) 소개

Hulu (Disney)
AcquiredThe happiest place on earth.
1,001-5,000
직원 수
Santa Monica
본사 위치
리뷰
3.7
10개 리뷰
워라밸
2.8
보상
3.5
문화
4.2
커리어
2.9
경영진
2.7
65%
친구에게 추천
장점
Great team culture and supportive colleagues
Flexible hours and work arrangements
Creative freedom and interesting work
단점
Work-life balance challenges and long hours
High-pressure and stressful environment
Management issues and disorganization
연봉 정보
59개 데이터
Staff/L6
Staff/L6 · Director, Product Marketing
1개 리포트
$291,724
총 연봉
기본급
$224,403
주식
-
보너스
-
$291,724
$291,724
면접 경험
3개 면접
난이도
3.0
/ 5
소요 기간
21-35주
경험
긍정 0%
보통 67%
부정 33%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Online Assessment
5
Onsite/Virtual Interviews
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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