Creative Learning Systems Jobs in New York (NOW HIRING)

ABOUT THE ROLE
Peloton is seeking a Manager, Global Performance Creative Analytics & Experimentation to help shape how creative drives subscriber growth across global performance and consideration channels. Reporting to the Director of Marketing Measurement Strategy, this role sits at the critical intersection of Data Science and Performance Creative, partnering closely with stakeholders across the global Marketing organization.
The ideal candidate is a unique hybrid: an analytically rigorous professional who inherently understands creative DNA-someone who knows how to design clean testing frameworks while speaking the fluid language of creative production. Rather than analyzing performance as a static output, this individual will interrogate granular creative metadata (dissecting formats, messaging angles, visual hooks, and narrative structures) to deduce deep historical learnings. Serving as the team's institutional memory for creative performance, you will translate data into context-rich, highly executional insights that actively guide future testing and fuel a continuous creative evolution. Success requires the ability to move beyond passive reporting to actively guide creative test structures, answer why creative assets perform, and influence future global production and media strategy through data-driven insights.
YOUR DAILY IMPACT AT PELOTON

• Lead the development and execution of the yearly global performance creative learning agenda. Yearly agenda should uncover new business and brand opportunities, as well as opportunity analysis on complex topics like creative fatigue and creative composition to suggest net new, structured tests. Consult on messaging and visual hypotheses in Creative Strategy's quarterly learning agenda based on performance analysis and insights
• Based on the yearly and quarterly learning agenda, partner with Media Analytics, Media, and Creative Strategy to establish prioritisation, the methodology, execution, and roadmap of global performance creative experimentation. Align creative testing with the media testing agenda
• Scope and execute customised creative incrementality tests in partnership with cross-functional teams. Beyond standard A/B and multivariate methodologies, you will architect future-ready measurement solutions, proactively integrating AI and advanced modeling to mitigate data limitations and platform volatility whilst driving scalable, actionable creative insights
• Develop, maintain, and scale a proprietary "Creative Composite Score" framework to evaluate creative health, combining platform delivery metrics, attention/retention signals, and downstream business efficiency
• Partner closely with internal data engineering teams and external agency partners to expand, enable, and enforce a granular creative metadata taxonomy (spanning strategy, concept, and message levels), transforming the creative library into a highly structured, analyzable dataset
• 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 which messaging angles resonate across the full funnel-not just the individual ad unit. Actively participate in the Analytics and marketing broader team meetings, contributing creative measurement standards and cross-team learning to the centralized analytics core
• Modernize and elevate, where applicable, existing reporting frameworks to deliver more impactful, data-driven narratives. Establish a consistent cadence for performance communication, democratising access to key insights across the organisation to drive cross-functional alignment and enable rapid, actionable decision-making
• Maintain deep expertise across platforms including Meta, TikTok, Google, YouTube, and Pinterest, translating auction dynamics, machine learning optimization, and delivery systems 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 to mitigate creative fatigue and asset saturation
• Develop and/or model an approach to test different combo of message + creative + funnel to identify what converts/engages the most throughout the funnel stages
• Maintain strong documentation standards, creating and managing comprehensive records of test plans, methodologies, and results to ensure frameworks are repeatable across teams and global regions

YOU BRING TO PELOTON

• 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, including an understanding of hooks, pacing, asset saturation, and audience resonance
• 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 directly influence platform delivery algorithms, auction dynamics, and CPMs
• Exceptional communication skills, with the ability to distill technical data science methodologies and complex platform dynamics into clear, concise, and actionable recommendations for creative teams, media agencies, and marketing leadership
• 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

#LI-KM1
#LI-Hybrid
The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including, without limitation, experience and business objectives and if the location for the job changes. Our base salary is just one component of Peloton's competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits.
As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including:

• 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 and so much more!

Base Salary Range
$155,350-$190,850 USD
ABOUT PELOTON:
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. For more information, visit www.onepeloton.com.
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. If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com.
At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool.
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.
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