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Depop

Peer-to-peer fashion marketplace with commissions

Engineering Manager - Trust Detection

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Experience managing and developing engineers, ideally including senior engineers.
  • A strong software engineering background, with the confidence to engage in architecture and technical trade-offs.
  • Experience leading teams that run production systems, with a focus on reliability and quality.
  • Experience working with, or a genuine appetite to learn how to lead, machine learning or data-heavy teams; model-building is not required, but curiosity about moving models from notebooks to production is expected.
  • Clear ownership of team health and delivery, and the ability to create momentum in ambiguous, fast-changing problem spaces.
  • A collaborative style in a shared-leadership model, including comfort with healthy disagreement and joint decision-making.
  • Confidence to challenge engineers, machine learning, product partners, and stakeholders constructively.
  • Motivation to protect people and help build trusted online communities.

Responsibilities

  • Manage, coach, and develop a team of Backend Engineers through one-to-ones, feedback, career growth, and performance management.
  • Build an inclusive, high-trust culture where machine learning and Backend Engineers work as one team.
  • Shape the team's hiring, onboarding, and ways of working as it grows.
  • Partner with the ML Manager and Product Manager to set the team's direction, priorities, and roadmap.
  • Own team delivery and health alongside the ML Manager, who leads the modelling approach, and the Product Manager, who leads on problems and outcomes; hold one another to shared goals.
  • Own the technical direction of the trust detection platform, working with staff engineers and partner teams to deliver it.
  • Turn strategy into a clear plan by breaking down ambiguous problems, sequencing work, and maintaining momentum.
  • Help the team take models from experiment to reliable production systems, including real-time inference, monitoring, and safe rollouts.
  • Stay close to architecture and technical trade-offs, particularly while building shared risk-scoring services used by other teams.
  • Improve engineering standards across both disciplines, including testing, observability, cost, and operational excellence for systems that act on users.
  • Make risks, dependencies, and decisions visible early so the right support and alignment are in place.
  • Collaborate with and influence Trust & Safety Operations, Policy, Legal, Data, and partner product teams that consume the team's signals.
  • Help the team balance user safety, fairness to genuine sellers, compliance obligations, and speed, and explain those trade-offs clearly.
  • Champion measures of success including harm prevented, model precision and recall, and how often decisions are overturned.

Desired Qualifications

  • Experience with machine learning in production, including MLOps, model serving, real-time inference, feature pipelines, retraining, or monitoring for drift.
  • Experience in trust and safety, fraud, abuse, spam, content moderation, or marketplace integrity.
  • Experience building shared services or APIs that other teams depend on.
  • Experience with experimentation, shadow testing, golden-set evaluation, or other methods of demonstrating a model's real-world impact.
  • Experience working across functions with Operations, Policy, Legal, Compliance, or Security partners.

About the Company

Depop

Peer-to-peer fashion marketplace with commissions

Depop is a peer-to-peer online marketplace for fashion where users buy, sell, and discover unique items such as vintage pieces, streetwear, sneakers, and designer pieces. Items are listed by users who set prices and descriptions; buyers purchase through the platform, and Depop earns revenue by taking a commission on each sale. The product works through user-generated listings, a social-feel interface with following and messaging, and a payments process that handles transactions. Depop differentiates itself from competitors by targeting a young, fashion-forward audience with a strong emphasis on sustainability, second-hand items, and community engagement, along with a marketplace that blends social discovery with shopping for both well-known brands and independent designers. Its goal is to grow a global, diverse fashion ecosystem where people can easily buy and sell unique, sustainable clothing items while connecting with others who share interest in fashion.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$100.1M
Headquarters
London, United Kingdom
Founded
2011

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