At a Glance
- Tasks: Lead the Trust Detection team to safeguard our community from scams and counterfeits.
- Company: Join Depop, a vibrant peer-to-peer fashion marketplace with a mission for circularity.
- Benefits: Enjoy flexible working, health perks, and a supportive environment focused on your growth.
- Other info: Be part of a diverse team that values innovation and community engagement.
- Why this job: Make a real impact in user safety while working with cutting-edge machine learning technology.
- Qualifications: Strong understanding of machine learning and a passion for user safety.
The predicted salary is between 66150 - 80850 £ per year.
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
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
Senior Product Manager – Trust Detection
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
- 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 – Benefits & Perks
- Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa
- Subsidised counselling and coaching with Self Space
- Cycle to Work scheme with options from Evans or the Green Commute Initiative
- Employee Assistance Programme (EAP) for 24/7 confidential support
- Mental Health First Aiders across the business for support and signposting
- Work/Life Balance: 25 days of annual leave with the option to carry over up to 5 days
- Impact hours: Up to 2 days of additional paid leave per year for volunteering
- Fully paid 4-week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love.
- Flexible Working: My Mode hybrid-working model with Flex, Office-Based, and Remote options *role-dependent All offices are dog-friendly
- Family Life: For birth parent: 20 weeks of paid parental leave for full-time regular employees
- For non-birth parents: 12 weeks of paid parental leave for full-time regular employees
- IVF leave, shared parental leave, and paid emergency parent/carer leave
- Learn + Grow: Twice-yearly development chats and yearly performance reviews
- Learning budget Upskilling our employees with company-wide training workshops, materials and resources
- Your Future: Life Insurance (financial compensation of 3x your salary)
- Pension matching up to 6% of full base salary with Aviva
- Depop Extras: In-office Depop Shop (that’s free!) and a packing station with free delivery. Special milestones are celebrated with gifts and rewards!
- Company Overview (Duplicate)
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
. Want to learn more about life at Depop? We share life at Depop updates on our Linked In page, and you can also keep an eye on all our job opportunities on our careers page.
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Senior Product Manager - Trust Detection in London employer: Depop Limited - Nova
Depop is an exceptional employer that champions a vibrant and inclusive work culture, where diverse perspectives drive innovation in the circular fashion marketplace. Located in London, employees enjoy flexible working arrangements, generous leave policies, and a strong focus on personal and professional growth through development chats and learning budgets. With a commitment to employee wellbeing and a supportive environment, Depop not only values its team but also empowers them to make a meaningful impact in the world of secondhand fashion.
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We think this is how you could land Senior Product Manager - Trust Detection in London
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We think you need these skills to ace Senior Product Manager - Trust Detection in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Senior Product Manager - Trust Detection, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Senior Product Manager - Trust Detection position at Depop Limited - Nova. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Depop Limited - Nova
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
