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Sr Product Mgr II- Personalization

Job in New York, New York County, New York, 10261, USA
Listing for: 5014 Disney Streaming Technology LLC
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 163100 - 218700 USD Yearly USD 163100.00 218700.00 YEAR
Job Description & How to Apply Below
Location: New York

Sr Product Mgr II - Personalization

The DEEPT Product Team is seeking a results-driven Sr Product Manager II with deep expertise in personalization and experimentation to join our dynamic News & Entertainment product team. This critical role sits at the intersection of technology, content, and user experience, focusing on world‑class digital experiences for Disney’s news and entertainment brands.

As a member of this team, you will collaborate with engineering, design, data science, editorial, and business stakeholders to launch new features and support existing experiences. You will drive product personalization strategies by collaborating with machine learning teams, managing experiments, enhancing technical tools, and advocating for users to improve the user experience and revenue potential.

Key Responsibilities
  • Personalization & Machine Learning Product Strategy: Collaborate closely with advanced machine learning teams to define, deliver, and scale next‑generation personalized experiences across our news and entertainment products. Translate complex ML frameworks into actionable strategies that drive user engagement, retention, and satisfaction. Prioritize and communicate opportunities to enhance content recommendations and dynamic experiences.
  • Experimentation & Data‑Driven Decision Making: Manage all stages of A/B and multivariate testing, selecting key use cases aligned to OKRs and user needs, designing test plans, and tracking metrics to ensure statistical significance. Leverage data‑driven insights to inform hypotheses, validate business impact, and champion a culture of continuous learning and improvement.
  • Executive Storytelling: Develop strategic narratives that combine qualitative and quantitative data to convey ideas with clarity, influence decision‑making, and deliver meaningful improvements mpion a user‑centric mindset, balancing empathy for diverse audiences with a rigorous approach to complex product challenges.
  • Technical Tool Integration & Cross‑Functional Collaboration: Lead the adoption and enhancement of personalization and experimentation tools, working across teams to introduce new features, streamline workflows, and enhance product delivery.
Basic Qualifications
  • 7+ years of product management experience, with a proven track record in experimentation, A/B testing, and personalization—preferably for digital content, news, entertainment, or streaming products.
  • Strong technical aptitude and hands‑on experience with experimentation platforms and data analytics tools.
  • Familiarity with applied machine learning frameworks and best practices for recommendation systems and content personalization.
  • Demonstrated ability to lead cross‑functional teams in a matrixed organization, driving consensus and delivering results.
  • Exceptional problem‑solving skills, with the ability to break down complexity and deliver pragmatic solutions.
  • Outstanding written and oral communication skills, capable of influencing at all levels and translating technical concepts for diverse audiences.
  • Passion for news, entertainment, or media and creating transformative user experiences at scale.
Required Education

A bachelor’s or master’s degree in computer science, statistics, business, media, or a related field from a four‑year accredited college or university.

Compensation and Benefits

The hiring range for this position in New York City, NY is $163,100 to $218,700 per year and in Santa Monica, CA is $155,700 to $208,700 per year. The base pay will be considered based on internal equity and may vary according to location, job‑related knowledge, skills, and experience. A bonus and/or long‑term incentive units may be provided, in addition to a comprehensive benefits package including medical, financial, and other benefits.

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