Senior Product Manager II, Commerce, Subscriber Growth & Monetization

The Walt Disney Company

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: San Francisco, CANew York, NYGlendale, CASanta Monica, CA
Salary: $173,100–$232,100 / yr
Employment: Full-time
Posted: 16 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $200k

This role $203k

$157k $240k

below market most similar roles pay here above market

This role pays more than 50% of similar roles. Most pay $169,500–$231,000 — the blue band above. At the midpoint, this role pays about $203k versus about $200k for comparable roles.

Based on 240 similar postings.

Employer

About The Walt Disney Company

The Walt Disney Company is a diversified global entertainment and media enterprise operating in segments including Disney Parks, Experiences and Products; Entertainment (ABC, Hulu, Disney+); and ESPN. Industry: Entertainment & Media

The Walt Disney Company currently has 90 open roles on FindRole.

Listed pay typically runs $150,900–$202,400 across 90 roles with salary data.

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View all roles at The Walt Disney Company

At a glance

TL;DR · Senior Product Manager II, Commerce, Subscriber Growth & Monetization

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The Sr Product Mgr II- Commerce, Subscriber Growth & Monetization joins the Disney Entertainment and ESPN Product & Technology team to drive impact across critical user and revenue surfaces. This role involves owning end-to-end product strategy and execution for high-priority initiatives involving acquisition, engagement, retention, and monetization. You will build onboarding flows, landing experiences, conversion funnels, and subscription systems while balancing short-term wins with long-term platform scalability. Key responsibilities include identifying opportunities through qualitative research, data analysis, and experimentation, specifically using A/B tests and cohort analyses. You must collaborate with engineering, design, data science, and marketing teams to solve complex problems within consumer-facing streaming and digital products. Success requires translating ML/AI capabilities into measurable growth outcomes while managing lifecycle optimization and pricing for global media platforms.

What does a Product Manager earn in California?

Median $222500 from 327 postings across 57 companies.

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Skills

A/B Testing ML AI Data Analysis Cohort Analysis Commerce Systems Data Science Platform Architecture Conversion Funnels Lifecycle Optimization Experimentation Frameworks

What you'll do

Own end-to-end product strategy and execution for commerce and growth initiatives from discovery through launch.
Drive impact on acquisition surfaces including onboarding flows, landing experiences, and conversion funnels.
Optimize engagement and retention through feature adoption, lifecycle experiences, and monetization strategies.
Identify growth opportunities using qualitative research, data analysis, and experimentation.
Design and execute A/B tests and cohort analyses to define success metrics and iterate on results.
Rapidly ramp into new domains to deliver results on time-sensitive, high-priority projects.
Balance short-term business wins with long-term platform scalability and technical health.
Communicate product vision, strategy, and trade-offs clearly to stakeholders and leadership.

What we're looking for

7+ years of product management experience building and shipping consumer products at scale.
Proven experience working on growth, commerce, or monetization initiatives with measurable impact.
Strong understanding of acquisition funnels, monetization, retention drivers, and lifecycle optimization.
Ability to work with experimentation frameworks and data-driven decision-making.
Bachelor's or master's degree in computer science, statistics, business, media, or a related field.
Experience with subscription businesses, growth, and monetization (preferred).
Experience leading cross-functional initiatives that required influencing without direct authority (preferred).
Ability to translate ML/AI capabilities into measurable growth outcomes (preferred).

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