Top 161 Senior manager e commerce Jobs in San Francisco, Ca

Senior Product Manager II- Commerce and Personalization
Disney Entertainment and ESPN Product & Technology —San Francisco, CA
- $170,500 - $228,600 a year
- 7 years
- Computer Science
- Office
Senior Manager - Customer Success
InMobi —San Francisco, CA
- $144,500 - $180,225 a year
- 5 years
- Senior level
- Communication skills
- Health savings account
- Health insurance
Quick Apply
Senior EHS Specialist
Zonberation Group —San Francisco, CA
- $100,000 - $130,000 a year
- Full-time
- Office
- US work authorization
- Contracts
- Wellness program
- Paid holidays
Quick Apply
4d
Retail District Manager
Goodwill of the San Francisco Bay —South San Francisco, CA
- $120,000 - $130,000 a year
- Email
- Background check
- English
- 3 years
- Commuter assistance
- Health insurance
Senior Store Manager
Goodwill of the San Francisco Bay —San Mateo, CA
- From $100,000 a year
- Email
- Background check
- English
- Mid-level
- Commuter assistance
- Health insurance
Director, Product Management
Gap Inc. —San Francisco, CA
- $197,600 - $256,900 a year
- Full-time
- Computer Science
- Bachelor's degree
- Product management
- Store discount
- Employee stock purchase plan
US Market + Marketing Manager (m/f/d) - 3x German Shopify E-Commerce Brands - 100% remote
Lyto Brands Group —San Francisco, CA
- Hybrid work
- English
- Mid-level
- Office
- Health insurance
Quick Apply
12d
Senior Manager, Customer Experience, Ever - SF
Ever —San Francisco, CA
- $110,000 - $140,000 a year
- Full-time
- 5 years
- Travel
- Senior level
- Health insurance
- Dental insurance
Quick Apply
AI Transformation Senior Manager | Retail | Agentic Commerce
Accenture —San Francisco, CA
- $122,700 - $338,300 a year
- Full-time
- Azure
- Merchandising
- 11+ years
- Paid holidays
- Disability insurance
Senior Product Manager
DocuSign —San Francisco, CA
- $146,400 - $235,375 a year
- Hybrid work
- Marketing
- 5 years
- Bachelor of Science
- Paid parental leave
- Paid holidays
5d
Senior Product Manager, Ecommerce
Dutch —Oakland, CA
- $180,000 a year
- Hybrid work
- 7 years
- Merchandising
- Product management
- Disability insurance
- Dental insurance
Quick Apply
Manager, Data Science
Whatnot —San Francisco, CA
- $221,000 - $320,000 a year
- Full-time
- Remote
- Analysis skills
- Senior level
- Leadership
- Paid parental leave
- Health insurance
Director, Account Management
Mastercard —San Francisco, CA
- $158,000 - $304,000 a year
- Online Application
- Bachelor's degree
- Senior level
- Communication skills
- Paid jury duty
- Health savings account
Senior Client Solutions Manager, Performance Advertising
Opera —San Francisco, CA
- Remote
- 5 years
- Analysis skills
- Senior level
Senior Product Manager - Grocery Fulfillment Optimization.
Uber —San Francisco, CA
- $190,000 - $211,000 a year
- Full-time
- 7 years
- Office
- SQL
- 401(k)
Senior Growth & Monetization Strategy Manager
Adobe —San Francisco, CA
- $120,700 - $219,750 a year
- Full-time
- Product management
- Fair chance
- Senior level
Senior Manager - Content Personalization
Sony Interactive Entertainment —San Mateo, CA
- $175,800 - $263,600 a year
- Remote
- Marketing
- 11+ years
- Analysis skills
- Wellness program
- Health insurance
Senior Manager, Merch - Home Decorating (Decor & Wall)
Quince —San Francisco, CA
- $170,000 - $190,000 a year
- Background check
- Writing skills
- Merchandising
12d
Principal Digital Growth Manager
Adobe —San Francisco, CA
- $148,900 - $271,500 a year
- Full-time
- Bachelor of Science
- Finance
- SQL
Senior Manager / Director of Integrated Brand Marketing
Fellow —San Francisco, CA
- $160,000 - $190,000 a year
- 6 years
- Office
- Mentoring
- Paid parental leave
- Health insurance

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Senior Product Manager II- Commerce and Personalization

Disney Entertainment and ESPN Product & Technology
San Francisco, CA

Apply Now

Job Details

$170,500 - $228,600 a year

Qualifications

AI models
Predictive modeling analysis
Hypothesis testing
Design of experiments
Pricing optimization
E-commerce
Production systems
Collaboration with product development teams
Model deployment
Leading team collaboration initiatives
Scalability
Model training
Predictive analytics projects
Cross-functional team management
Statistical significance testing
Project stakeholder communication
Marketing controlled experiments research
MLOps
Cross-functional communication
Stakeholder management

Full 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.

Product Management is responsible for driving the overall user experience, feature strategies and concepts, and engagement paradigms for Disney Entertainment & ESPN's global portfolio of consumer-facing streaming and digital products – including Disney+, Hulu, ESPN, ABC, ABC News, Nat Geo, Marvel, and Star Wars.

Team Description:

The Commerce Product team is responsible for the subscriber journey across our streaming portfolio - including Disney+, Hulu, and ESPN. We own acquisition, monetization, retention, and lifecycle experiences that serve millions of subscribers globally.

Within Commerce, the Commerce Personalization team owns our ML-powered decisioning engine that personalizes offers, promotions, and recommendations across multiple subscriber touchpoints throughout the user journey.

This role will drive strategy and execution of our unified commerce personalization engine across the full user journey. You'll partner closely with ML Engineering, Data Science, product, and Analytics teams to drive a three-track roadmap: model improvements, data expansion, and surface experiments.

What You’ll Do:

Own personalization platform strategy and roadmap: Drive three parallel workstreams (model improvements, data expansion, surface experiments) to maximize subscriber lifetime value across key Commerce touchpoints
Define and socialize North Star metrics: Establish success criteria for all personalization experiments; ensure consistent measurement across surfaces
Partner with ML/Data Science to build better models: Translate business problems into model requirements and success criteria
Build new personalization capabilities: Spec and launch propensity models, cross-surface offer orchestration (decide where to show offers, not just what), and unauthenticated personalization
Design and ship high-impact experiments: Run A/B tests across surfaces with clear LTV success criteria and guardrails (retention, revenue, and engagement)
Ensure model quality and rigor: Establish randomization infrastructure, LTV-native model training, unbiased training data pipelines, and holdout groups
Coordinate cross-functionally without direct authority: Align with product, data science, analytics, and lifecycle/marketing teams on shared goals and experimentation frameworks
Prioritize investment based on ROI: Determine trade-offs between model improvements vs. surface expansion using LTV impact data
Communicate strategy and results to leadership: Present regular updates and business reviews on portfolio impact; write strategy memos with hypothesis-driven framing and validation gates

Required Qualifications & Skills:

7+ years of product management experience shipping consumer products at scale (millions of users)
Proven track record partnering with Data Science/ML Engineering to build and ship production ML models (recommender systems, propensity models, ranking algorithms, personalization platforms)
Deep understanding of A/B testing, experimentation frameworks, holdout design, statistical significance, and measuring incrementality
Experience with subscription businesses, pricing, promotions, lifecycle optimization, growth, or monetization
Data-driven decision-making: comfortable defining success metrics, interpreting experiment results, making go/no-go decisions based on data
Cross-functional leadership: ability to influence ML Engineering, Data Science, and surface PMs without direct authority; skilled at building consensus across competing priorities
Strong stakeholder management
Clear communicator: translates complex ML concepts into business language and vice versa; writes crisp strategy documents and presents effectively to leadership
Experience working in fast-paced, high-growth environments with ambiguous problem spaces

Preferred Qualifications:

Experience with ML serving infrastructure and personalization platforms (Metaflow, Kubeflow, or similar)
Built recommendation or ranking systems at scale for complex, multi-SKU product surfaces
Worked with prediction models to evaluate experiments or prioritize product investments
Experience coordinating personalization across multiple surfaces to ensure consistent messaging and avoid signal cannibalization
Background at companies with mature personalization and experimentation cultures (streaming, subscription, e-commerce, or similar)
SQL proficiency: can write queries to pull experiment data, validate model outputs, and debug attribution issues
Understanding of ML model constraints: online vs. offline models, training data bias, model architecture trade-offs, feature engineering
Experience leading cross-functional initiatives in matrixed organizations that required influencing without direct authority
Track record of defining and shipping challenger models or model improvements that drove measurable business impact

Required Education:

Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, Business, Economics, Statistics, or comparable field of study, and/or equivalent work experience

The hiring range for this position in San Francisco, CA is $170,500 - $228,600 per year, in Santa Monica and Glendale ,CA is $155,700 - $208,700 per year, and in New York, NY is $163,100 to $218,700 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.

Apply Now

Refine Your Search

senior manager e commerce jobs in san francisco, ca

Senior Product Manager II- Commerce and Personalization

Senior Manager - Customer Success

Senior EHS Specialist

Retail District Manager

Senior Store Manager

Director, Product Management

US Market + Marketing Manager (m/f/d) - 3x German Shopify E-Commerce Brands - 100% remote

Senior Manager, Customer Experience, Ever - SF

AI Transformation Senior Manager | Retail | Agentic Commerce

Senior Product Manager

Senior Product Manager, Ecommerce

Manager, Data Science

Director, Account Management

Senior Client Solutions Manager, Performance Advertising

Senior Product Manager - Grocery Fulfillment Optimization.

Senior Growth & Monetization Strategy Manager

Senior Manager - Content Personalization

Senior Manager, Merch - Home Decorating (Decor & Wall)

Principal Digital Growth Manager

Senior Manager / Director of Integrated Brand Marketing

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