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Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.  Find out more at www.depop.com  Our mission is to make fashion circular and 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. 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. For any other non-disability related questions, please reach out to our Talent Partners.

<h2>The Role</h2>At Depop, machine learning is integral to our value proposition. We are looking for a Senior MLOps engineer to help level-up how ML solutions are delivered at Depop.As a Senior MLOps engineer sitting in the central MLOps team, you will be responsible for enabling our ML Scientists - currently spread across five product functions - to deliver value by providing self-serve platforms and services for ML model &#43; feature development, deployment and monitoring. Do you find happiness in providing tooling, services and platforms that help businesses untap the enormous value of machine learning? If so, this could be the perfect match.Want to find out more about Depop &amp; our engineering team? We write about technology, people and smart engineering right here -<a href="https://workable.com/nr?l&#61;https%3A%2F%2Fengineering.depop.com%2F" target="_blank">https://engineering.depop.com/</a><h2>Responsibilities</h2><ul><li>Leading on the design, implementation and maintenance of tooling &#43; platforms for:<ul><li>Productionising model training workflows</li><li>ML feature engineering and deployment</li><li>Deploying, monitoring and managing ML models in production</li><li>Model performance monitoring and drift detection</li><li>Model retraining, rollback, and continuous improvement</li></ul></li><li>Playing an enablement role by working closely with ML Scientists and Backend Engineers whilst also finding opportunities to improve the velocity &#43; reliability of the ML model deployment cycle.</li><li>Proactively identify pain points and make improvements that help increase your team’s efficiency.</li><li>Using your extensive domain knowledge &#43; relationships with key stakeholders to positively influence the direction of the team.</li><li>Setting the team’s standards for operational excellence; from running your own services to testing, monitoring, maintenance and reacting to production issues.</li><li>Adding to a strong engineering culture orientated on technical innovation, continuous improvement and professional development.</li><li>Mentoring junior engineers to help them hit their career goals and add further value to Depop.</li></ul>​<h2>Requirements</h2><ul><li>Consistent track record of leading on the successful end-to-end delivery of your projects; scoping and translating complex business/user requirements into plans, with a focus on MvP; design and implementation (including coordinating the effort of other engineers); and maintenance, with a strong emphasis on observability and handling failure modes.</li><li>Solid understanding of the ML lifecycle, from model training and evaluation to deployment and monitoring.</li><li>Strong programming skills in Python, with experience in ML libraries such as TensorFlow, PyTorch and Scikit-learn.</li><li>Experience working with ML training/inference platforms such as Databricks, SageMaker and Seldon.</li><li>Experience building CI/CD processes with tools such as Jenkins or GitHub Actions.</li><li>Exemplary communication skills, especially in dealing with multiple stakeholders.</li><li>Experience with cloud platforms (e.g., AWS, GCP, Azure), containerization (Docker, Kubernetes) and infrastructure-as-code (IaC) tools (Terraform, CloudFormation).</li></ul>

Senior MLOps Engineer

<h2>The Role</h2>At Depop, machine learning is integral to our value proposition. We are looking for an MLOps engineer to help level-up how ML solutions are delivered at Depop. You will be responsible for enabling our ML Scientists - currently spread across five product functions - to deliver value by providing self-serve platforms and services for ML model &#43; feature development, deployment and monitoring. Do you find happiness in providing tooling, services and platforms that help businesses untap the enormous value of machine learning? If so, this could be the perfect match.Want to find out more about Depop &amp; our engineering team? We write about technology, people and smart engineering right here -<a href="https://workable.com/nr?l&#61;https%3A%2F%2Fengineering.depop.com%2F" target="_blank">https://engineering.depop.com/</a><h2>Responsibilities</h2><ul><li>Helping design, implement and maintain tooling &#43; platforms for:<ul><li>Productionising model training workflows</li><li>ML feature engineering and deployment</li><li>Deploying, monitoring and managing ML models in production</li><li>Model performance monitoring and drift detection</li><li>Model retraining, rollback, and continuous improvement</li></ul></li><li>Playing an enablement role by working closely with ML Scientists and Backend Engineers to maximise the value they get from the MLOps team’s tooling &#43; platform offerings.</li><li>Hold high standards for operational excellence; from running your own services to testing, monitoring, maintenance and reacting to production issues.</li><li>Adding to a strong engineering culture orientated on technical innovation, continuous improvement and professional development.</li></ul><h2>Requirements</h2><ul><li>Consistent track record of successful end-to-end delivery of your projects; from scoping and translating business/user requirements into plans, to design, implementation and maintenance, whilst coordinating with other teams (and engineers).</li><li>Strong programming skills in Python, with experience in ML libraries such as TensorFlow, PyTorch and Scikit-learn.</li><li>Experience working with ML training/inference platforms such as Databricks, SageMaker and Seldon.</li><li>Experience building CI/CD processes with tools such as Jenkins or GitHub Actions.</li><li>A strong sense of ownership, autonomy and a highly organised nature.</li><li>Exemplary communication skills, especially in dealing with multiple stakeholders.</li><li>Proficiency with cloud platforms (e.g., AWS, GCP, Azure) and containerization (Docker, Kubernetes).</li></ul><h2>Benefits</h2><h2></h2>Health &#43; Mental Wellbeing<ul><li>PMI and cash plan healthcare access with Bupa</li><li>Subsidised counselling and coaching with Self Space</li><li>Cycle to Work scheme with options from Evans or the Green Commute Initiative</li><li>Employee Assistance Programme (EAP) for 24/7 confidential support</li><li>Mental Health First Aiders across the business for support and signposting</li></ul> Work/Life Balance<ul><li>25 days annual leave with option to carry over up to 5 days</li><li>1 company-wide day off per quarter</li><li>Impact hours: Up to 2 days additional paid leave per year for volunteering</li><li>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.</li><li>Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options *role dependant</li><li>All offices are dog-friendly</li><li>Ability to work abroad for 4 weeks per year in UK tax treaty countries</li></ul>Family Life<ul><li>18 weeks of paid parental leave for full-time regular employees</li><li>IVF leave, shared parental leave, and paid emergency parent/carer leave</li></ul>Learn &#43; Grow<ul><li>Budgets for conferences, learning subscriptions, and more</li><li>Mentorship and programmes to upskill employees</li></ul>Your Future<ul><li>Life Insurance (financial compensation of 3x your salary)</li><li>Pension matching up to 6% of qualifying earnings</li></ul>Depop Extras:<ul><li>Employees enjoy free shipping on their Depop sales within the UK.</li><li>Special milestones are celebrated with gifts and rewards!</li></ul>

MLOps Engineer

The RoleWe are seeking a visionary and technically adept Director of Data Engineering to lead our data engineering initiatives at Depop, as we are at a growth point where we want a step change in the performance of our data. We want insights globalised to the whole business by default, clear and incentivised data ownership and a valuable data catalogue.We are looking for a customer-centric leader, who measures success in the daily active users of their data products, as well as accuracy and compliance. We want a strategy for low- and high-intent data discovery that prioritises knowledge sharing and resilient data models.You will lead multiple squads responsible for critical components of our data ecosystem, including experimentation, analytics event logging, our batch data platform on Databricks, Kafka/Avro-based real-time infrastructure, and our analytics engineering platform, which leverages dbt. Your role will be essential in improving self-service capabilities for all users of our data infrastructure, enhancing data quality, and ensuring the usability of our core data sets.Key Responsibilities:<ul><li>Strategic Leadership:<ul><li>Develop and implement the data engineering strategy, ensuring alignment with Depop’s business goals.</li><li>Lead and mentor 3-4 squads responsible for experimentation, analytics event logging, batch data platform, real-time infrastructure, and analytics engineering.</li></ul></li><li>Technical Oversight:<ul><li>Oversee and optimise our data infrastructure, including Databricks (Spark/Spark SQL), Kafka/Avro, and dbt-driven data pipelines.</li><li>Drive initiatives to improve data quality, usability, and the self-service experience for engineers.</li></ul></li><li>Cross-Functional Collaboration:<ul><li>Partner with Data Science, Insights, and Engineering teams to ensure data solutions meet their needs.</li><li>Advocate for best practices in data governance, security, and compliance.</li></ul></li><li>Innovation and Continuous Improvement:<ul><li>Evaluate and implement new technologies to improve data processing, storage, and accessibility.</li><li>Cultivate a culture of experimentation and continuous improvement within the data engineering team.</li></ul></li></ul>Qualifications:<ul><li>Experience &amp; Expertise:<ul><li>Experience in data engineering, within a leadership or managerial role overseeing multiple teams or squads.</li><li>Strong expertise in data infrastructure, including experience with Databricks, Apache Spark, Spark SQL, Kafka, Avro, and dbt.</li><li>Demonstrated success in managing data platforms at scale, including both batch processing and real-time streaming architectures.</li><li>Deep understanding of data warehousing concepts, ETL/ELT processes, and analytics engineering.</li><li>Strong programming skills, particularly in Python, Scala, or Java, and a solid understanding of cloud platforms (AWS, GCP, or Azure).</li></ul></li><li>Leadership &amp; Management:<ul><li>Experience in hiring, mentoring, and developing managers and senior individual contributors.</li><li>Strong leadership skills with a track record of building and nurturing high-performing, collaborative teams.</li><li>Ability to inspire and influence teams, driving alignment with organisational goals and encouraging a culture of innovation and continuous improvement.</li></ul></li><li>Collaboration &amp; Communication:<ul><li>Experience working closely with data science, analytics, and engineering teams to deliver impactful data solutions.</li><li>Excellent communication skills, with the ability to influence and align diverse stakeholders around a common data strategy.</li></ul></li></ul>

Director of Data Engineering

The RoleAt Depop, machine learning is integral to our value proposition.In the ranking team, we build learning-to-rank models that power personalised experiences across the Depop app (in search results, recommendations, etc.).The team is currently made of 3 Machine Learning Scientists and 1 Machine Learning Engineer. It owns a series of models deployed in SageMaker for real-time inference. These models are called in by various services across the app (e.g. the search service to rank results coming from our vector database in OpenSearch), serving millions of personalised results to users daily.We are looking for a dedicated Senior Machine Learning engineer to join our Ranking team. As part of this team, you will participate in building, deploying and monitoring the future ranking models that will improve user experience across the app.Responsibilities<ul><li>Design and implement pipelines for training, deploying &amp; monitoring real-time ranking models, in collaboration with the other ML Engineer(s) in the team.</li><li>Work closely with ML Scientists in the ranking team on the experimentation and deployment of new models.</li><li>Collaborate with Backend Engineers from “client services” (e.g. search service, which calls one of the real-time models) to define requirements and plan future experiments.</li><li>Help design and build the ML platform at Depop in collaboration with the MLOps infrastructure team, working on various areas:<ul><li>Robust prototyping &amp; training of models</li><li>CI/CD pipelines for model deployments</li><li>Model serving for real-time and batch implementations</li><li>Improving our feature store to serve features offline/online</li><li>Monitoring &amp; alerting</li></ul></li><li>Hold high standards for operational excellence; from running your own services to testing, monitoring, maintenance and reacting to production issues.</li><li>Contribute to a strong engineering culture in the ML group, orientated on technical innovation, and professional development.</li></ul>Requirements<ul><li>Consistent track record of building pipelines to train &amp; deploy ML models and contributing to an ML platform</li><li>Experience with the core concepts of data science / ML workflows</li><li>A strong sense of ownership, autonomy and a highly organised nature.</li><li>Outstanding communication skills, especially in taking care of multiple stakeholders</li><li>Solid understanding of systems design within a modern cloud-based environment (AWS, GCP)</li></ul>Technologies and Tools<ul><li>Python</li><li>Data science / ML / MLOps tooling: e.g. Sagemaker, Databricks, TFServing and more</li><li>Common ML libraries: scikit-learn, pytorch/tensorflow, mlflow etc.</li><li>Spark &amp; DataBricks</li><li>AWS - IAM, S3, redis, ECS and more</li><li>Shell scripting and related tooling</li><li>Good working understanding of continuous integration/deployment tools and practices</li><li>Experience with streaming and/or batch-based systems supporting data integrations to third-party platforms (e.g. using Kafka, Airflow, RMQ, etc.)</li></ul>

Senior Machine Learning Engineer

Depop is looking for an experienced Backend Software Engineer to join us permanently. Within this role, you’ll be working in the cross-functional team in partnership with the mobile, web and machine learning/data science teams to drive the team to success.ResponsibilitiesAs a Backend Engineer within this team, you can expect to:<ul><li>Work closely with Product Managers, Designers, Data Scientists,  Front-End and other Backend Engineers to understand problems and to design solutions.</li><li>Produce high-quality code that is well-structured and simple to understand that will be used by 1M&#43; active daily users</li><li>Embrace agile methodologies </li><li>Engage in a culture of continuous improvement by attending events such as blameless post-mortems, architecture reviews etc. </li><li>Collaborate daily with fellow engineers in the multi-functional environment  to tackle problems and write code</li><li>You’ll own your code and workflows, through its entire lifecycle</li><li>Documenting any feature development</li></ul>Qualifications:<ul><li>Be capable to write high quality code in Scala or Java or Python  </li><li>Distributed datastores (e.g. DynamoDB, Redshift, AWS Athena)</li><li>Message queues: (e.g. RabbitMQ / Apache Kafka)</li><li>Experience building scalable web applications serving 10,000s of requests per second</li><li>Experience working with RDBMS, ideally Postgres</li><li>DevOps culture (CI/CD pipeline)</li><li>Ability to proactively find and solve complex problems independently, but also know when to seek mentorship or help from your peers.</li></ul>Must haves:<ul><li>Experience with Scala or Java or Python</li><li>Experience working with Frontend Engineers (Web/Mobile) </li><li>Proficient in testing solutions at different levels —unit, integration, etc—</li><li>Experience with relational or non-relational databases, preferably PostgreSQL, DynamoDB, AWS Athena</li></ul>Nice to haves:<ul><li>Experience with eCommerce</li><li>Experience with Docker and Kubernetes</li><li>Experience with event-driven architectures, preferably using RabbitMQ or Kafka</li><li>Experience in using production AWS infrastructure, ideally with Terraform</li></ul>

Backend Engineer

The Role:Depop is seeking a Workplace Manager at our London office to independently lead all aspects of our office operations and create programs, projects, and events that bring our inspiring culture to life. This role requires a strategic leader with an exceptional eye for detail, organisational skill, and a deep commitment to enhancing the employee experience. From events, to food and facilities, you’ll play a pivotal role in shaping a workspace and culture where people feel connected.As part of Depop’s Workplace Team, a global group with expertise in building management, space design, operations, food sourcing, events, and safety. You’ll ensure our spaces reflect our values and enable our team’s best work. You’ll be a poised and decisive self-starter who uses Depop’s values and mission to drive decision-making, crafting an environment where our people feel supported and inspired every day. Responsibilities: <ul><li>Lead front-of-house operations, including supervising staff and ensuring a warm, welcoming environment for all employees and visitors.</li><li>Lead and shape the workplace experience, ensuring events and activities are thoughtfully planned and executed to cultivate an engaging and dynamic environment for employees (including coordinating space bookings, and ensuring rooms are set up with the appropriate layout, signage, and materials in advance.)</li><li>Contribute ideas to evolve our workplace experience, aligning with our culture </li><li>Oversee Depop’s food programming, monitoring product consumption and rotation, collaborating with vendors to ensure timely and food-safe execution of service.</li><li>Support budgeting and purchasing decisions, sharing responsibility for maintaining a budget, building strong relationships with suppliers and vendors, and making thoughtful, cost-effective purchases.</li><li>Build and maintain internal documentation, including internet pages, tickets, processes, and templates, with guidance from management to ensure consistency and ease of use.</li><li>Champion and organise our culture, contributing your voice to the development and execution of workplace initiatives that reflect and promote our values.</li><li>Build and manage relationships with leadership, collaborating to articulate future plans and implement policies</li><li>Support office operations, including cleaning, security, and other facility services, building management, and external service providers.</li></ul>Requirements: <ul><li>Ability to work 4 days a week in office</li><li>Previous exposure to workplace experience, operations, facilities management, ideally in a fast-paced and growth-oriented company.</li><li>Previous experience leading and implementing workplace programs, events, food programs and initiatives that improve employee engagement and foster a positive workplace culture.</li><li>Exceptional organisational skills and a true multi-tasker mentality, able to manage several projects simultaneously without compromising quality or deadlines.</li><li>Proven ability to think strategically, with a keen eye for process improvement, operational efficiency, and resource management.</li><li>Excellent communication and collaboration skills, with a track record of engaging and influencing diverse stakeholders </li><li>A proactive, solution-oriented approach to problem-solving, with a strong ability to inspire change and improvements within the workplace.</li></ul>

Workplace Manager

<div><div>Responsibilities:</div><div></div></div><div><ul><li>Ensure the accuracy, cleanliness, and compliance of customer data across platforms</li></ul></div><div><ul><li>Act as the CRM guardian of consent to align campaigns with user preferences</li></ul></div><div><ul><li>Champion email deliverability best practices within the CRM team, proactively monitoring our sender reputation and overall list hygiene</li></ul></div><div><ul><li>Oversee the experiment library, ensuring tests are set up correctly in Braze and recorded accurately in Looker</li></ul></div><div><ul><li>Translate data insights into actionable strategies, audience segmentation, and improve data hygiene processes like deduplication and enrichment</li></ul></div><div><ul><li>Interact directly with our Braze reps to ensure new features or improvements can be implemented</li><li>Ensure that deeplinks are effectively integrated into CRM campaigns</li></ul></div><div><ul><li>Collaborate with insights, product and engineering on CRM data needs and priorities</li></ul></div><div><ul><li>Serve as the main CRM contact for troubleshooting and resolving data issues.</li></ul></div><div><ul><li>Maintain a solid understanding of the data pipeline and its impact on CRM performance and enablement</li></ul><div></div></div><div><div>Requirements:</div></div><div><ul><li>Proficiency in marketing and customer data platforms (e.g., Segment, Braze), experimentation tools (e.g., Optimizely), and visualization tools (e.g., Looker)</li></ul></div><div><ul><li>Knowledge of email deliverability; SPAM policies, reputation and best practice</li></ul></div><div><ul><li>Strong cross-functional communication skills with the ability to engage in technical discussions across all business levels</li></ul></div><div><ul><li>Proficiency in SQL</li></ul></div>

CRM Data Ops Manager

<div> The Role The Senior Corporate Communications Manager will lead strategic communications efforts to strengthen Depop’s brand presence, drive the brand’s corporate narrative and to communicate our mission to make fashion circular. Working closely with executive leadership, marketing, product, and other cross-functional teams, this role will be responsible for positioning Depop’s vision, handling its reputation, and enhancing its profile across key markets.</div><div>Responsibilities:<ul><li>Lead all inbound corporate media inquiries</li><li>Lead in messaging development, executive briefing and counsel for the corporate function</li><li>Manage and oversee crisis and issues management for Depop</li><li>Act as counsel for cross-functional partners on communications considerations and best practices for corporate, brand, and policy changes that will impact matters of reputation, working in partnership with Etsy Corporate Comms.</li><li>Lead the corporate spokesperson programme</li><li>Be responsible for content for corporate social media accounts with executional support from junior team members</li><li>Build and implement communications plans for financial reporting and changes to the business</li><li>Proactively investigate media-worthy stories for Depop, develop key messaging, and pitch to media </li><li>Handle internal reporting and framework for measuring performance and communicating the success of our corporate communications approach within the business</li><li>Work cross functionally with the Internal Communications team</li></ul></div><div>Requirements<ul><li>Proven experience working in communications, with a specific focus in corporate communications, ideally at a tech company, social marketplace or e-commerce business growing at scale</li><li>Strong experience in crisis and issues management</li><li>Outstanding written and oral communication skills, with an understanding of both customer and media communication</li><li>Experience in executive profiling </li><li>Thoughtful, creative approach to storytelling via corporate communications</li><li>Proficient in the UK/US landscape, some knowledge of the AU media landscape. A natural collaborator with extensive experience in working cross-functionally </li><li>Strong organisational, project management and analytical skills</li><li>Comfortable working in a fast-paced environment, adapting quickly and flexibly to change</li><li>Experience in-house and at an agency a plus</li></ul></div>

Senior Corporate Communications Manager

In 2025 our ambition is to be a high-performing, delivery-focused organisation and the best engineering organisation for those who value meaningful career growth. We are looking for a UK-based Engineering Manager to run one of Depop’s most cross-functional and high impact teams - Adtech. You will be expected to help guide your team while delivering a contribution to its impact and strategic roadmap, and be part of crafting our engineering culture of high performance and high compassion. As an Engineering Manager at Depop, you will be responsible for the success, wellbeing and efficiency of the team. You will work alongside a Product Manager with Adtech domain expertise as part of our wider Growth initiative focusing specifically around our AdTech capabilities to improve paid marketing efforts.You will lead engineers in the team and be responsible for crafting and executing on the team&#39;s roadmap. You’ll report into the Senior Engineering Manager in the Growth pillar.Responsibilities:<ul><li>Deliver Value and Drive Results: Ensure your team delivers high-quality solutions that meet business needs, while maintaining a strong focus on delivery and crafting measurable value.</li><li>Lead and Support Your Team: Run a multi-functional team of 3-6 engineers, ensuring they are happy, motivated, and set up for success. While encouraged to stay hands-on, your primary focus will be on enabling the team to perform and deliver at their best.</li><li>Cultivate Growth and Feedback: Be accountable for performance and the career growth of your team members, providing regular feedback and mentorship through 1:1s and continuous support.</li><li>Collaborate Across Functions: Partner closely with marketing, analytics, engineering, product to align on goals, define priorities, and ensure smooth multi-functional collaboration.</li><li>Build an Inclusive Culture: Advocate for team health, inclusion, and diversity, while fostering a respectful and empowering environment that encourages continuous learning and improvement.</li></ul>You’ll be an excellent fit if you have: <ul><li>Experience as a people manager in growing and building high-performing engineers, teams, and processes.</li><li>Have good MarTech experience, with an understanding of the advertising ecosystem, including product catalogues, ad conversion data, targeting and measurement, as well as the changing privacy and compliance landscape.</li><li>Have a data engineering background, or working experience with data technologies such as Databricks, Spark, Kafka, SQL and Airflow. </li><li>Have a strong sense of ownership and track record of delivery. You get huge satisfaction from solving complex problems, and delivering the highest quality features.</li><li>Strong decision making skills,  based on the data available in the face of ambiguous or changing priorities and goals, with preference towards simplicity and a strong bias towards delivery.</li></ul><ul><li>Strong stakeholder management skills, able to collaborate with cross-disciplinary stakeholders with varying goals to achieve great results that satisfy all requirements.</li><li>Know how to drive positive interactions throughout your team and drive positive change.</li><li>You align with our “Depop DNA” - showing up for the community,  having each other&#39;s backs, acting with purpose while having sustainability and cost in mind through thinking thrift.</li></ul>Bonus points if:<ul><li>You are familiar with any one of the following technologies : Scala, Python Swift (iOS), React or Typescript.</li><li>You are familiar with observability, tracking and data pipeline tools and methodologies.</li></ul>

Engineering Manager

<div>The Community Support team is an integral part of our business. It serves as the voice of Depop to our Community, answering questions they have, solving disputes and making Depop a safe place to be. As the Product Operations Specialist, you will have the responsibility of helping to provide both our internal and external customers with the best possible experience. You will work closely with Product teams to support upcoming product releases from a CX perspective, helping build processes and resources for the Community Experience team to follow, as well as providing continuous feedback to help drive improvements. </div><div>Responsibilities<ul><li>Act as the primary liaison between Product Managers and the Customer Experience (CX) team, ensuring clear communication and sharing of relevant updates.</li><li>Provide actionable feedback to Product Managers on the impact of product changes, helping to shape timelines and priorities for upcoming releases.</li><li>Collaborate with stakeholders to gather requirements, plan amendments, and implement operational changes resulting from product rollouts.</li><li>Serve as the main point of contact for all Product Managers, facilitating alignment and addressing any cross-functional needs.</li><li>Oversee ongoing projects and experiments within the Product team, offering insights and support from a Product Operations perspective.</li><li>Partner with the Process Improvement Specialist to develop processes and create resources for the CX team related to new product initiatives, ensuring</li><li>Help Centre content is accurate and up to date.</li><li>Design and refine chatbot workflows to proactively address and deflect unnecessary customer inquiries before reaching the CX team.</li><li>Identify and implement opportunities  to enhance the agent experience and improve operational efficiency.</li></ul></div><div>What we are ideally looking for:<ul><li>Technically minded with strong logical skills.</li><li>Experience working cross-functionally, ideally with Product and Marketing teams.</li><li>The ability to understand potential issues/risks that arise out of product changes.</li><li>A genuine love for Depop and a deep understanding of what we value, our mission and goals.</li><li>Strong verbal and written communication skills. </li><li>A data supported, problem led mindset, who thrives in a constantly changing environment. </li><li>A problem-solver, who can weigh up the benefits and drawbacks of multiple solutions to a single issue. </li><li>An enthusiastic desire to drive change.</li></ul></div>

Product Operations Specialist

This is a Seller Account Executive role on a 6-month contract basis, in our NY office.We&#39;re seeking a Seller Account Executive to join our Seller Success and Programming team. This role is pivotal in establishing robust relationships with our sellers. You&#39;ll work closely with them, providing guidance, support, and resources to boost their success on our platform. The perfect candidate will exhibit a genuine passion for Depop and excel in supporting and fostering the growth of others.Key Responsibilities:<ul><li>Facilitate personalised seller consultation calls, leveraging data to pinpoint growth opportunities and tackle seller challenges effectively.</li><li>Guide sellers in setting and reaching their business objectives, providing customized recommendations and strategies for success.</li><li>Analyze seller performance and Depop feature adoption to uncover areas for improvement.</li><li>Lead informative group webinars to educate our user base on effective selling practices.</li><li>Work closely with internal Depop teams to champion sellers&#39; needs, ensuring their concerns are addressed promptly and effectively.</li><li>Monitor and engage with the community, on our Community Forum. </li></ul>Qualifications:<ul><li>Background in account management or a similar role, showcasing skills in relationship management and driving growth.</li><li>Previous experience in consumer-facing or community-focused roles, showcasing adeptness in community engagement.</li><li>Proficiency in utilizing data for insights and decision-making, including experience with data analytics tools to inform strategic initiatives and effectively support sellers.</li><li>Exceptional interpersonal and communication skills for developing and maintaining strong relationships with sellers.</li><li>Customer-centric mindset focused on understanding and addressing the needs of sellers to facilitate their success on the platform. </li><li>Strong organizational skills with acute attention to detail.</li><li>A Depop buyer/seller is a plus </li></ul>

Seller Account Executive (6 Month FTC / New York based)

We are looking for a Product Designer to join the Connect team at Depop. This role will be instrumental in realising our north-star vision for user comms at Depop, which focuses on creating a cohesive, user-centred communication system that strengthens connections, user engagement, satisfaction and trust.The ideal candidate will have a keen interest in user engagement and communications technology, and will play a meaningful role in improving our in-app communication channels (inbox, chat, notifeed), along with developing tools for internal teams to lead communications seamlessly. This position offers a unique opportunity to directly impact Depop’s core communication experience by reducing noise, boosting relevance, and empowering users with greater control over their notifications.Responsibilities<ul><li>Craft Strategy and Vision: Collaborate with the product trio to define and evolve the strategy for communications, aligning with user needs and Depop’s overarching goals. </li><li>Drive Vision-Aligned Design: Design experiences that simplify and enhance Depop&#39;s user communications ecosystem, aligning with our product vision.</li><li>Optimise In-App Channels: Synthesising qualitative and quantitative data, to expand and refine inbox, chat, and notifeed functionalities in order to improve user engagement and streamline the user journey across communication touch points.</li><li>Develop Cross-Functional Collaboration: Build tools and features that empower not only the user, but a variety of stakeholders—including CRM/Marketing, other Product teams, Engineering, and Analysts—to manage and deliver seamless, relevant communications to Depop users.</li><li>User Segmentation &amp; Customisation: Design communications tailored to user segments (buyers, sellers, casual users) and enable users to personalise notification settings, giving them control over their experience.</li><li>Strategic Channel Use: Prioritise notifications through effective use of push, inbox, and modals  </li></ul>Requirements<ul><li>Experience designing user experiences for the Web, iOS and Android </li><li>A good understanding of mobile and desktop UX and UI patterns</li><li>Demonstrated experience with end-to-end product design (UX &amp; UI)</li><li>Proficiency in UX / UI tools (Figma, Sketch, Zeplin, Abstract, etc.)</li><li>Effective prototyping skills (Figma, Protopie, Principle or equivalent)</li><li>A portfolio showing high quality, thoughtful UX and UI work</li><li>Ability to translate user research, user testing and data insight to design directives </li><li>Ability to tell compelling arguments about your design proposals</li></ul>Nice to have (but not essential)<ul><li>Proven ability to solve complex interaction design challenges and excellent visual design skills</li><li>A strong grasp of industry standards for in-app communications</li><li>Ability to design flows and experiences that simplify and distil down complex actions into usable interfaces</li><li>A strong grasp of industry standards for product communications</li><li>An understanding of e-commerce and/or marketplace dynamics, and platform to user, user to user, and user to platform interactions</li></ul>

Product Designer

RoleWe are seeking a Global Partnership and Activation Manager, on a 12month contract basis in our US office, who will support and report directly to the Senior Partnerships Manager. This is an exciting opportunity to join a fast paced team in a quickly growing organisation.Key aspects include leading on outreach for new and potential partnerships,  implementing our quick-win smaller partnership strategy and being a key support on larger partnerships, as well as supporting on global and local community activations  and leading on client relations management such as onboarding contracting and payments. Responsibilities:<ul><li>Partnerships: <ul><li>Identifying and researching external prospective partnership and activations opportunities and providing business recommendations</li><li>Leading on reactive proposals and owning the pipeline of inbound partnership and activation opportunities to support the wider roadmap of larger campaign</li><li>Scoping and defining prospective brand partnerships and integrating internal work-streams and channels</li><li>Gathering in-app data, product insights, marketing roadmaps to support partnerships and activations plans.</li><li>Owning marketing seller database, staying up to date with our community in US &amp; UK and outreaching for partnership opportunities</li></ul></li><li>Project management <ul><li>End to end project management on small partnership opportunities driven through Depop social and PR channel integration. </li><li>Owning project documentation and reporting post-campaign</li><li>Lead on Smaller local activations and be the team point of contact on global activations </li><li>Lead on compiling together learnings and results with summary documents and keeping project decks up to date</li></ul></li><li>Relationship management<ul><li>Assisting with email communication and relationship management  with external partners and tracking and acknowledging incoming requests</li><li>Drafting correspondence and presentations related to partnerships and activations </li></ul></li></ul>Skills <ul><li>Exceptional written and verbal communication skills are crucial </li><li>Ability to work collaboratively with peers and virtual teams</li><li>Strong networking skills for external relationships and confident in handling stakeholder relationships</li><li>Organised and self motivated</li><li>Strategic and creative problem solver  </li><li>A strong understanding and interest in culture, fashion and entertainment with a good  knowledge of brands, events and influencers</li><li>Experience in project management and event production. </li><li>They should have experience and be confident in using and interacting with the Depop app</li></ul>

Partnerships and Activations Manager (US based/12month FTC)

The Role<h2></h2>Depop is looking for a dedicated Machine Learning Scientist to join our Listings &amp; Inventory team in the UK. You will work alongside a cross functional team of Product Managers, Designers, Backend &amp; Frontend Engineers and other Data Scientists playing a key role in building innovative machine learning models to power Depop’s selling experience. Responsibilities:<ul><li>Research, design and deliver machine learning solutions to solve problems within the fashion resale space:</li><li>Working with and fine tuning (multimodal) large language models; Textual understanding using natural language processing algorithms / Image feature extraction using computer vision models</li><li>Understand requirements from various stakeholders across the business, designing machine learning solutions to solve business problems, such as: How can we capitalise on recent advances in generative AI to make the selling process as easy as possible and how can we extract information from image and text inputs to generate rich features used in our recommender and search engines?</li><li>Set up and conduct large-scale experiments to test hypotheses and drive product development</li><li>Keep up to date with research, contribute to Machine Learning groups, and apply new techniques for (multimodal) LLMs, NLP, computer vision, etc.</li><li>Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc)</li><li>Report and present technical findings to technical and non-technical audiences</li></ul>Requirements:<ul><li>Experience working as a Machine Learning Scientist, with a track record of delivering models to solve industry-scale problems</li><li>Solid understanding of machine learning concepts, familiarity working with frameworks such as Transformers, PyTorch or TensorFlow</li><li>Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering &amp; MLOps</li><li>Collaborative and humble team player with an ability to work with cross-functional teams, including technical and non-technical stakeholders</li><li>Passion for learning new skills and staying up-to-date with ML algorithms</li></ul>Bonus:<ul><li>Experience working with NLP, Image classifiers and Transformers</li><li>Experience with deep learning &amp; large language models</li><li>Experience with experiment design and conducting A/B tests</li><li>Experience with Databricks and PySpark</li><li>Experience working with AWS or another cloud platform (GCP/Azure)</li></ul>

Machine Learning Scientist

Job DescriptionDepop is looking for an experienced Senior Backend Engineer to join us permanently. Within this role, you’ll be working in a backend team leading multiple services at the core of Depop’s architecture. As a member of a team of backend engineers, you will collaborate with other backend teams to establish and maintain standards for accessing data on our users and products. Responsibilities:  As a Senior Backend Engineer within this team, you can expect to:<ul><li>Work closely with Engineering Managers, Data Scientists, and other Backend Engineers to understand problems and to design solutions. </li><li>Produce high-quality code that is well-structured and simple to understand that will be used by 1M&#43; active daily users</li><li>End-to-end application support, including production incident management </li><li>Embrace agile methodologies </li><li>Engage in a culture of continuous improvement by attending events such as blameless post-mortems, architecture reviews etc. </li><li>Collaborate every day with fellow engineers in the multi-functional environment  to solve problems and write code</li><li>You’ll own your code and workflows, through its entire lifecycle</li></ul>Qualifications<ul><li>Be capable to write high quality code in Python and ideally Scala or be interested in learning a functional language</li><li>Distributed datastores (e.g. DynamoDB, )</li><li>Message queues: (e.g. RabbitMQ / Apache Kafka)</li><li>Experience building scalable web applications serving 10,000s of requests per second</li><li>Experience working with RDBMS, ideally Postgres</li><li>DevOps culture (CI/CD pipeline)</li><li>Ability to proactively find and solve complex problems independently, but also know when to seek guidance or help from your peers.</li></ul>Must haves:<ul><li>Experience with Python </li><li>Willing to work in Python and Scala codebases</li><li>Proficient in testing solutions at different levels —unit, integration, etc—</li><li>Experience with relational or non-relational databases, preferably PostgreSQL, DynamoDB, AWS Athena</li><li>Experience with Docker and Kubernetes</li></ul> Nice to haves:<ul><li>Experience with Java or Scala</li><li>Experience with Django framework</li><li>Experience with eCommerce</li><li>Experience with event-driven architectures, preferably using RabbitMQ or Kafka</li><li>Experience in using production AWS infrastructure, ideally with Terraform</li></ul>