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London, UK, United Kingdom
Hybrid
Company Description
Depop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new.
Founded in 2011, Depop’s diverse community has helped move resale into the mainstream, where buying secondhand is no longer an alternative, but how people of different ages now engage with fashion. Today, more than 56 million registered users come to Depop to find great value, express their own personal style and give clothes a longer life. We believe that everything you want already exists, and our role is to help people discover it.
Powered by a team of over 500 people, our company is headquartered in London, with offices in New York. In 2021, Depop became a wholly-owned subsidiary of Etsy - the global marketplace for unique and creative goods - and continues to operate as a standalone company. For more information, visit www.depop.com
We aim to create an inclusive environment where everyone is welcome, no matter who they are or where they’re from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users.
We’re proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We’re continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have.
AI Disclosure: We use AI tools (Google Gemini) to help our team source and review applications for roles with a high volume of applications. These tools assist our recruiters in identifying great talent but do not replace human decision-making. At Depop, every hiring decision is made by a human.
If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to adjustments@depop.com.
We are looking for a Senior Product Manager to lead our Trust Detection team.
Trust is the engine of circular fashion; without it, our marketplace cannot scale. The Trust Detection team builds the real-time, adaptive ML models that safeguard our community. Our mission is to go beyond monitoring isolated content to identify the actors behind the screen-detecting scams, phishing, and counterfeits across messages, listings, and accounts before they cause harm. By neutralizing bad actors at the source, we ensure Depop remains a safe, progressive home for unique fashion.
This is a high-stakes role sitting at the intersection of Machine Learning, Policy, and User Safety. You will lead a specialised team of ML scientists and backend engineers to build the "immune system" of our platform.
Your mission is to move beyond reactive moderation toward proactive defence.
You will be responsible for the models that decide who is allowed to participate in our ecosystem and who is blocked from causing harm.
Responsibilities
Technical Strategy & Roadmap: Partner with ML Scientists to shift from conversation-level detection to sophisticated user-level models. You will define the vision for identifying bad actors based on 40+ features across historical enforcement, user reports, and listing behavior.
Precision-Driven Execution: Own the trade-offs between catching "bad actors" and protecting legitimate sellers. You will aim for high-precision targets to ensure we catch high-volume counterfeiters and phishers before they impact our users.
System Evolution: Oversee the development of auto-retraining systems and models for a wide range of policy violations, from counterfeit goods, prohibited items, abusive behaviour, and any unsafe content for our community.
Resource & Stakeholder Management: Navigate a lean, high-output environment. You will be the bridge between Operations leadership and the technical team.
Requirements
Must-haves:
Technical Foundation: You possess a strong foundational understanding of machine learning—whether gained through professional PM experience, engineering roles, or dedicated personal projects. We value fast learners who can grasp the mechanics of model training and feature engineering and are eager to apply that technical DNA to solve complex product challenges.
Analytical Rigor: You live and breathe with data. You can dive into performance metrics and understand why a model is flagging specific accounts or behaviors
User Outcome Focus: You can balance rigorous policing with a user-first mindset, ensuring our models accurately evaluate and protect genuine sellers while minimizing the friction of false positives.
Resilience & Speed: Trust & Safety could sometimes be a "cat-and-mouse" game. You are comfortable with fast-scaling environments and can pivot quickly when new fraud trends emerge.
Communication: Ability to explain complex ML logic to non-technical stakeholders while maintaining deep technical credibility with your Engineering partners.
Bonus points:
Technical Background: A background as Data Analyst, Engineer, or ML Scientist is a big plus!
Domain Expertise: Direct experience in Trust & Safety, Fraud, or Risk at a marketplace or social platform.
Marketplace Experience: Understanding the marketplace dynamics and the unique frictions in peer-to-peer interactions.
Community Mindset: A passion for Depop’s mission of circularity and self-expression. Especially if you’re already part of the Depop community.
Additional Information
Health + Mental Wellbeing
Work/Life Balance:
Family Life:
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Your Future:
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