Sr Program Manager
Plantation, FL
Our Opportunity:
Chewy is hiring a Sr Program Manager to own our Returns Abuse program within the Refunds, Replacements, and Concessions (RRC) org. Youʼll drive our strategy to protect customer trust while deterring fraudulent behavior across a $180M+ RRC portfolio. Your mission: ensure our returns policies remain generous for good customers and resilient to bad actors! This is a deeply cross-functional, high-judgment role. Youʼll lead initiatives that span ML fraud detection, agent workflow governance, refund gating logic (sendbacks, holds), and abuse escalations — all while preserving a world-class customer experience. Youʼll partner with Engineering, Data Science, Customer Service, Fraud, and Category to scale our defenses, improve Net Recovered Value (NRV), and reduce financial leakage.
What Youʼll Do:
- Lead our FY25 Returns Abuse roadmap — including ML model recalibration, rule deployment, RRC escalations, and refund enforcement policy tuning.
- Own sendback and refund hold policy logic across services ensuring alignment with abuse risk profiles, SKU economics, and CX guardrails.
- Drive execution of our abuse mitigation strategy, reducing RRCs in key segments.
- Serve as the programʼs central point of accountability, translating abuse risk signals into coordinated actions across Product, Tech, CS, Fraud, and BI.
- Establish governance for refund exceptions and manual overrides; track override trends, identify gaps, and implement guardrails via training or RDE enhancements.
- Scale agent-facing workflows with contextual abuse indicators, automated blocks, and enforcement nudges to improve CX and reduce leakage.
- Contribute to SLT-facing materials, QBRs, OP1s, and business cases — clearly articulating impact, trade-offs, and ROI for every policy or model decision.
What Youʼll Need:
- 6-8 years of experience in program management, fraud strategy, risk operations, or policy enforcement (preferably in e-commerce or consumer tech).
- Fluency in SQL, Tableau, and ability to size opportunity or financial impact quickly.
- Proven success working cross-functionally to ship policies, workflows, or tooling across Ops, Product, and Engineering.
- Strong storytelling and documentation skills — able to own end-to-end decision memos and present to Director+ audiences.
- High judgment and structured thinking — particularly when navigating CX vs. fraud tradeoffs.
- Familiarity with fraud prevention systems, abuse modeling, or rules engines (e.g., Falcon, Sift, Forter, RDE, or similar).
Bonus Points:
- Experience leading returns/fraud programs or agent tooling at a high-growth retailer or marketplace.
- Deep understanding of Chewyʼs customer experience philosophy and liberal returns model.
- Comfort working with ML models and integrating model output into programmatic decisions.
- Experience with e-commerce SKUs and how fraud/abuse manifests in different verticals (e.g., Hardgoods vs. RX vs. Dropship).
Example Problems You Might Own:
- How do we scale sendbacks without damaging CSAT for good customers?
- Which high-risk SKUs are driving policy abuse and how do we escalate and action them at scale?
- Whatʼs the ROI of tightening returns rules for First-RRC customers with linked accounts?
If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at our company, please contact HR@Chewy.com.
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Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.
If you have a question regarding your application, please contact HR@chewy.com.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: CX E-commerce Economics Engineering Machine Learning ML models Privacy SQL Tableau
Perks/benefits: Startup environment
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