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About the Role

Peloton is seeking a Manager, Global Performance Creative Analytics & Experimentation to shape how creative drives subscriber growth across global performance and consideration channels. This role sits at the intersection of Data Science and Performance Creative, partnering closely with global Marketing stakeholders. The ideal candidate is an analytically rigorous professional with creative intuition, capable of designing clean testing frameworks and translating data into actionable insights to guide future testing and creative evolution.

Responsibilities

Lead the development and execution of the yearly global performance creative learning agenda to uncover new business and brand opportunities.
Consult on messaging and visual hypotheses in Creative Strategy’s quarterly learning agenda based on performance analysis and insights.
Partner with Media Analytics, Media, and Creative Strategy to establish prioritization, methodology, execution, and roadmap of global performance creative experimentation, aligning creative testing with the media testing agenda.
Scope and execute customized creative incrementality tests, architecting future-ready measurement solutions integrating AI and advanced modeling.
Develop, maintain, and scale a proprietary "Creative Composite Score" framework to evaluate creative health.
Partner closely with internal data engineering teams and external agency partners to expand, enable, and enforce a granular creative metadata taxonomy.
Explore, vet, and integrate emerging AI tools and platform-native capabilities to automate creative asset evaluation and predictive performance modeling.
Connect creative performance signals across paid channels, lifecycle email, and landing pages to identify resonant messaging angles across the full funnel.
Modernize and elevate existing reporting frameworks to deliver more impactful, data-driven narratives and establish a consistent cadence for performance communication.
Maintain deep expertise across platforms including Meta, TikTok, Google, YouTube, and Pinterest, translating auction dynamics into actionable creative briefs.
Build analytical frameworks to determine the optimal mix, volume, and refresh cadence of creative assets across different channels, seasons, and global regions.
Develop and/or model an approach to test different combinations of message, creative, and funnel to identify what converts/engages the most.
Maintain strong documentation standards, creating and managing comprehensive records of test plans, methodologies, and results.

Requirements

4-5+ years of experience in Data Science, Marketing Analytics, Creative Analytics, or Marketing Science, with a heavy emphasis on media measurement and creative performance evaluation.
Demonstrated experience blending rigorous statistical expertise with strong creative intuition.
Strong proficiency in SQL and experience using statistical programming languages like Python or R for large-scale data analysis and modeling.
Hands-on experience with experimentation methodologies, causal inference, synthetic controls, matched market testing, and regression analysis.
Deep understanding of major digital advertising platforms (Meta, TikTok, Google/YouTube, Pinterest) and how creative inputs influence platform delivery algorithms.
Exceptional communication skills, with the ability to distill technical data science methodologies and complex platform dynamics into clear, concise, and actionable recommendations.
Experience managing projects across multiple cross-functional stakeholders or global regions, with a proven ability to prioritize testing roadmaps and maintain clear documentation.
Bachelor’s or Master’s degree in a quantitative discipline (Statistics, Data Science, Economics, Mathematics) or equivalent practical experience.

Skills

Data Science
Marketing Analytics
Creative Analytics
Marketing Science
Media Measurement
Creative Performance Evaluation
Statistical Expertise
Creative Intuition
SQL
Python
R
Experimentation Methodologies
Causal Inference
Synthetic Controls
Matched Market Testing
Regression Analysis
Meta
TikTok
Google
YouTube
Pinterest
Communication Skills
Project Management

Location

New York City

Work Type

Hybrid

Experience Level

4-5+ years

Education Level

Bachelor's or Master's degree in a quantitative discipline (Statistics, Data Science, Economics, Mathematics) or equivalent practical experience

Salary/Compensations

$124,250—$174,050 USD

Benefits

Medical, dental and vision insurance
Generous paid time off policy
Short-term and long-term disability
Access to mental health services
401k, tuition reimbursement and student loan paydown plans
Employee Stock Purchase Plan
Fertility and adoption support and up to 18 weeks of paid parental leave
Child care and family care discounts
Free access to Peloton Digital App and apparel and product discounts
Commuter benefits and Citi Bike Discount
Pet insurance

About the Company

Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria.

Equal Opportunity

Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions.