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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.

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 teams and high impact teams - Martech. You will be expected to help guide your team while delivering a contribution to its impact and strategic roadmap, and be part of shaping our engineering culture of high performance and high compassion. As an Engineering Manager at Depop, you will be responsible for the success, wellbeing and effectiveness of the team. You will work alongside a Product Manager with domain expertise as part of our wider Growth initiative focusing specifically around our Martech capabilities to improve paid marketing efforts.You will manage all engineers in the team and be responsible for creating and executing on the team&#39;s roadmap. You’ll report to 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 creating measurable value.</li><li>Lead and Support Your Team: Manage a cross-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>Foster Growth and Feedback: Be accountable for the team&#39;s performance and the career growth of its members, providing regular feedback, guidance and coaching 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 cross-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>QualificationsYou’ll be an excellent fit if you have: <ul><li>A proven track record as an Engineering manager of growing and building high-performing engineers, teams, and processes.</li><li>Have good MarTech domain knowledge, 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 tackling complex and ambitious 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><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, Martech

Depop is looking for an experienced Staff Engineer to join our team. You will be motivated to solve Depop’s most challenging technical problems within and across our backend, platform, and data domains. Your extensive technical experience will enable you to identify and address common pain points, enhancing productivity and streamlining practices for our engineering teams. Responsibilities:<ul><li>Work closely with Backend, Platform, and Data teams to identify and resolve constraints, improving developer experience and efficiency (Cross-Team Collaboration)</li><li>Identify and address backend challenges before they escalate, ensuring system reliability and smooth operations (Proactive Problem-Solving)</li><li>Apply deep backend knowledge to resolve issues, contribute substantial code solutions, and improve team productivity (Technical Expertise &amp; Code Contributions)</li><li>Design backend systems and data pipelines with scalability, maintainability, and developer experience in mind (Scalable System Design)</li><li>Align technical decisions with business strategy, drive organizational change, and adopt industry trends to future-proof systems (Strategic Leadership &amp; Innovation)</li></ul>Requirements:<ul><li>Proven track record of solving complex technical challenges and building scalable, high-traffic applications (Extensive Engineering Expertise)</li><li>Strong understanding of cloud environments (we use AWS) and system design principles with a focus on reducing complexity and cognitive load (Cloud &amp; System Design Mastery)</li><li>Ability to quickly learn and adapt to new technologies, anticipate issues, and prevent problems from escalating (Problem-Solving &amp; Adaptability)</li><li>Experience mentoring engineers, being a technical go-to person, and effectively communicating complex concepts (Mentorship &amp; Communication)</li><li>Proficient in testing at various levels (unit, integration, etc.) and analyzing problem-solving insights to improve outcomes (Robust Testing &amp; Analysis)</li></ul>Must haves:<ul><li>Ability to persevere through setbacks with energy and drive, ensuring project delivery</li><li>Approachable and supportive demeanour, capable of building strong relationships across all levels</li><li>Skilled in aligning technical decisions with business strategy, working closely with engineering leadership</li><li>Ability to navigate complex political situations tactfully, ensuring initiatives progress smoothly</li><li>Comfort with ambiguity, uncertainty, and risk, maintaining agility in changing situations</li><li>Openness to actively seek and act on feedback and coaching, enhancing organisational effectiveness</li><li>Knowledge of event-driven architectures and different data storage systems</li></ul>Nice to haves:<ul><li>Experience with ecommerce and marketplace systems in a business-to-consumer environment</li><li>Proficiency with Infrastructure as Code, ideally using Terraform</li><li>Experience using Datadog for monitoring and observability</li><li>Track record of successfully implementing company-wide technical initiatives</li></ul>

Senior Staff Engineer

<div>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> Responsibilities</div><div><div><div><div><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>Requirements<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></div></div></div></div>

ML Ops Engineer

Job DescriptionDepop is looking for an experienced Senior Backend Software Engineer to join us permanently. Within this role, you’ll be working in a product engineering team developing the services used for interaction between our customers and Depop. As a member of this cross functional team, you will collaborate with product, design and other engineers to improve ease of access to support and efficient issue resolution for our customers. Responsibilities:  As a Senior Backend Engineer within this team, you can expect to:<ul><li>Work closely with Engineering Managers, Product Managers, Product Designers, and various 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>Take ownership of product development, from feature discovery, to the breakdown of work, and its implementation</li><li>End-to-end application support, including production incident management </li><li>Embrace agile methodologies and user-centred thinking</li><li>Engage in a culture of continuous improvement by attending events such as blameless post-mortems, architecture reviews, and engineering guild sessions.. </li><li>Collaborate on a daily basis with fellow engineers in the cross functional environment  to solve problems and write code</li><li>Mentor and coach your colleagues  </li></ul>Qualifications:<ul><li>Be capable to write high quality code in Scala or be interested in learning a functional language</li><li>Experience working with RDBMS, ideally Postgres</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>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 Scala </li><li>Willing to work in Python and Scala codebases</li><li>Proficient in testing solutions at different levels — unit and integration —</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</li><li>Experience with Play framework</li><li>Experience with web frameworks, or web development</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>

Senior Backend Engineer

RoleAt Depop, machine learning is integral to our value proposition. As a Machine Learning Scientist,  you will work on building state-of-the-art ranking models to power Depop&#39;s app, serving millions of personalised results to users daily.ResponsibilitiesYou will:<ul><li>Research, design and deliver machine learning solutions to tackle problems</li><li>Understand requirements from various stakeholders across the business, designing machine learning solutions to solve business problems</li><li>Set up and conduct large-scale experiments to test hypotheses and drive product development</li><li>Keep up to date with state-of-the-art research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, 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>Qualifications<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 common 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 points<ul><li>Experience working on learning-to-rank, search or recommendation models</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 Backend Software Engineer to join us permanently. Within this role, you’ll be working in the cross-functional team in partnership with mobile, web and machine learning/data science teams to drive the team to success.Responsibilities:As 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 on a daily basis with fellow engineers in the cross functional environment  to solve 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 guidance 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 looking for a dedicated Associate Machine Learning Scientist to join one of our teams.You will work alongside a cross-functional team of Product Managers, Engineers, Analysts and other Machine Learning Scientist, playing a key role in building machine learning models.Responsibilities:<ul><li>Research, design, and deliver machine learning solutions to tackle problems within the pricing and product matching space</li><li>Understand requirements from various stakeholders across the business and design machine learning solutions to solve applied business problems</li><li>Design and conduct large-scale experiments to test hypotheses and drive product development</li><li>Keep up to date with applied research, contribute to knowledge sharing and apply new techniques for prediction, information retrieval, text and image processing, causal inference, and optimisation</li><li>Participate in team ceremonies (e.g. following the agile cadence, technical whiteboarding sessions, planning and product roadmapping)</li><li>Report and present technical findings to technical and non-technical audiences  </li></ul>Skills and Experience:<ul><li>Experience developing ML models to solve real-world problems, experience working as a Data Scientist or Machine Learning Scientist</li><li>Proficiency in Python</li><li>Solid understanding of machine learning concepts, familiarity working with frameworks such as TensorFlow or PyTorch</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 applied ML developments</li></ul>Bonus Points:<ul><li>Experience with pricing models, causal inference, or revenue optimisation</li><li>Experience with NLP, image processing, information retrieval, and deep learning 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>

Associate Machine Learning Scientist

The RoleThe Scaled Moderation Manager is responsible for bringing about improvements in moderation via a test, learn, adapt approach to improve the user experience. This includes bringing about improvements in user sentiment, including improving user sentiment around “As a user, I feel fairly treated by Depop”. You will work closely in collaborating with the other content moderation stakeholders within T&amp;S and other T&amp;S team members, as well as stakeholders within Policy, Engineering, Product, PR, Comms, Legal, HR, Finance, PALS, Real-time team, CX and external stakeholders such as Depop’s BPO, and third party content moderation provider.  You&#39;ll analyse data, to identify trends, decide what the biggest pain points are, and then design tests to solve those problems. The Scaled Moderation Manager will run those tests in a product led way, e.g. via experimentation, with set hypotheses, metrics to test to validate or invalidate the hypotheses, a set duration of testing, dashboards to monitor metrics and clear success measures. The role will test, learn and adapt scaled moderation as much as possible to ensure the user experience is continually improved.The ways of working to achieve this includes;<ul><li>Customer centricity</li><li>Learning and iterating</li><li>Focus and prioritisation</li><li>Collaboration is key</li><li>Team empowerment </li><li>Challenge what eats your time</li></ul>Responsibilities<ul><li>Lead a small team currently of one content moderation specialist and one senior specialist, to contribute to the transformation of the way in which Depop moderates content at scale, enabling improvements in proportionate and fair moderation</li><li>Run experimentation to bring about user experience improvements in relation to moderation</li><li>Ensure relevant stakeholders are kept updated on 1) tests being run, 2) results and 3) learnings</li><li>Bring about, as fast as possible, turn around of tests, whilst ensuring tests are run responsibly, to enable a fast pace of learning and improvements to be made to the user experience in relation to moderation</li><li>Communicate feedback, challenges, roadblocks, insights effectively and concisely to appropriate audiences and stakeholders</li><li>Lead, manage and coach team members to develop them in their roles and to foster a culture of excellence, reliability, respect and humility</li><li>Oversee the relationship with the third party content moderation provider and ensure 1) service requirements are met and strong relationship nurtured via providing feedback on strengths and areas for improvement and 2) Depop leverages their new features to enhance scaled moderation</li><li>Ensure the right balance between the team spending the majority of their time on experimentation, rather than managing bugs or conducting administrative work relating to the content moderation provider.  Where there is administrative work to be done, the Scaled Moderation Manager can support the more junior content moderation specialist to undertake most of that administrative work, but also encourage them to push back on the content moderation provider where necessary</li><li>Keep up-to-date on industry trends and emerging issues in the Trust &amp; Safety space, particularly in relation to moderation</li><li>Ability to remain calm and effective under pressure and coach the team to effectively navigate and communicate in a fast paced and ambiguous environment</li></ul>Requirements - Essential<ul><li>Experience leading teams, ideally in Trust &amp; Safety Operations, or Risk operations in domains such as content moderation, compliance, risk or authentication</li><li>Experience having led experiments / test, learn, adapt approach within a technology company</li><li>Experience of owning and delivering solutions to ambiguous problems</li><li>Sound experience in a fast paced, technology company, either in Trust and Safety, Product or other function aimed at managing risks and improving the user experience,  ideally using a product led approach to experimentation</li><li>Critical thinker with the ability to identify root causes of issues, and propose solutions, and translate them into operational processes</li><li>Knowledge and experience of creating and setting up rules and workflows in a rules engine/content moderation system</li><li>Experience of liaising with Product, Engineering and Data Science stakeholders to ensure an objective and empirical approach is used to enable platform safety</li><li>Sound understanding of the Trust and Safety landscape, challenges, risks, and good practice</li><li>Excellent relationship management skills - able to work with cross-functional stakeholders from a variety of different backgrounds, culture and walks of life, who sit within different functions across the business, including but not limited to; Product, Engineering, PR and Comms, Legal, CX, Fraud, and Marketing</li><li>Excellent communication skills; able to tailor communication to a variety of audiences - able to step back and provide high level overviews for senior leadership and zoom into the detail to ensure adequate insights into operational matters when needed</li><li>Drive to proactively lead experimentation without the need for close supervision to ensure progress</li><li>Proactive, can do attitude, able to work on own initiative and drive impact without the need for tasks to be delegated to them</li></ul>

Scaled Moderation Manager

Job DescriptionDepop is looking for a versatile Senior Machine Learning Scientist to join our Recommendations team in the UK. As part of the team you will work alongside a Product Manager, Backend Engineers and other ML Scientists playing a key role in building innovative models to power Depop’s search engine and ranking across the app.Responsibilities:You will:<ul><li>Research, design and deliver ML solutions to take on problems within the search &amp; discovery space:<ul><li>Learning-to-rank models</li><li>Vector search &amp; embedding models</li><li>etc.</li></ul></li><li>Understand requirements from various partners across the business, designing machine learning solutions to address business problems, such as:<ul><li>How can we surface relevant results for this search?</li><li>How can we show users personalised results in real time?</li><li>What is the right price for this user?</li></ul></li><li>Set up and conduct large-scale experiments to test hypotheses and drive product development</li><li>Keep up to date with pioneering research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc.</li><li>Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc)</li></ul>QualificationsSignificant experience (3&#43; years) working as a Machine Learning Scientist, with a track record of delivering models to solve industry-scale problem<ul><li>Experience with experiment design and conducting A/B tests</li><li>Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering &amp; MLOps</li><li>Solid understanding of machine learning concepts, familiarity working with common frameworks such as sci-kit-learn, TensorFlow, or PyTorch</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 points<ul><li>Experience with Databricks and PySpark</li><li>Experience with deep learning &amp; large language models</li><li>Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch)</li><li>Experience working with AWS or another cloud platform (GCP/Azure)</li></ul>

Senior Machine Learning Scientist - Recommendations

Job DescriptionDepop is looking for a versatile Senior Machine Learning Scientist to join our Search &amp; Ranking team in the UK. As part of the team you will work alongside a Product Manager, Backend Engineers and other ML Scientists playing a key role in building innovative models to power Depop’s search engine and ranking across the app.Responsibilities:You will:<ul><li>Research, design and deliver ML solutions to take on problems within the search &amp; discovery space:<ul><li>Learning-to-rank models</li><li>Vector search &amp; embedding models</li><li>etc.</li></ul></li><li>Understand requirements from various partners across the business, designing machine learning solutions to address business problems, such as:<ul><li>How can we surface relevant results for this search?</li><li>How can we show users personalised results in real time?</li><li>What is the right price for this user?</li></ul></li><li>Set up and conduct large-scale experiments to test hypotheses and drive product development</li><li>Keep up to date with pioneering research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc.</li><li>Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc)</li></ul>QualificationsSkills and experience<ul><li>Significant experience (3&#43; years) working as a Data Scientist, with a track record of delivering models to solve industry-scale problem</li><li>Experience with experiment design and conducting A/B tests</li><li>Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering &amp; MLOps</li><li>Solid understanding of machine learning concepts, familiarity working with common frameworks such as sci-kit-learn, TensorFlow, or PyTorch</li><li>Collaborative and humble great teammate with an ability to work wimulti-functionalnal 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 points<ul><li>Experience with Databricks and PySpark</li><li>Experience with deep learning &amp; large language models</li><li>Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch)</li><li>Experience working with AWS or another cloud platform (GCP/Azure)</li></ul>

Senior Machine Learning Scientist - Search

RoleDepop is looking for a talented ML Manager to lead our Search ML team in the UK. In this role, you will lead a team of ML Scientists, building state-of-the-art models to power Depop’s search engine.ResponsibilitiesYou will:<ul><li>Lead and mentor a team of ML Scientists, setting the vision and fostering an inclusive, experiment-driven culture.</li><li>Partner with the team’s leads (Product Manager, Backend EM, Data Analyst) to translate business questions into an actionable search-ML roadmap that moves GMV, conversion and engagement.</li><li>Collaborate with the MLOps team to embed best practices and efficient ML workflows - covering CI/CD, feature management, monitoring, etc..</li><li>Collaborate with other ML teams, sharing models, tooling and insights, particularly in areas like Recommendations and Ranking</li><li>Stay on the pulse of new research in NLP, CV and multimodal retrieval, champion responsible-AI best practices, and present findings to technical and non-technical audiences.</li></ul>Qualifications<ul><li>Significant experience (7&#43; years) working in Machine Learning, delivering models to solve industry-scale problems, and 2 &#43; years leading teams of ML Scientists and/or ML Engineers</li><li>Deep expertise in search and recommendation techniques: semantic embeddings, learning-to-rank, personalisation algorithms, etc.</li><li>Proven track record of delivering ML modes end-to-end: data strategy, training, deployment and monitoring , using Python, Spark and major deep-learning frameworks (e.g. PyTorch or TensorFlow)</li><li>Experience working in cloud and MLOps environments</li><li>Strong command of experimental design, offline metrics and online A/B testing to drive product strategy</li><li>Excellent collaboration and communication skills, able to translate complex ML concepts seamlessly for PMs, engineers and executives</li></ul>Nice to have<ul><li>Experience with AWS &amp; Databricks</li><li>Experience with OpenSearch</li></ul>

Machine Learning Manager

RoleWe’re looking for a Staff Backend Engineer – Data Platform to be a key technical leader within the teams responsible for Depop’s data platform. You’ll drive the technical vision and implementation for our foundational data platform — from experimentation, event ingestion pipelines to our data lake, governance frameworks, and data observability and real-time analytics capabilities.You will work closely with data scientists, machine learning engineers, backend teams, and product leaders, providing deep technical expertise to ensure our data systems are scalable, secure, observable, and enable innovation across the company.  Responsibilities<ul><li>Partner with stakeholders across Product, Data, and Engineering to translate strategic goals into well-architected, scalable platform capabilities.</li><li>Drive the technical design and implementation of core data platform components, providing hands-on coding and architectural leadership.</li><li>Define and evolve the technical roadmap for Depop’s modern data platform, ensuring reliable and scalable analytics.</li><li>Champion engineering excellence, setting high technical standards and advocating for best practices in system design, maintainability, performance, and privacy.</li><li>Lead efforts in data observability, governance, and privacy-by-design principles, ensuring their robust implementation across the organization.</li><li>Mentor and coach engineers, elevating the technical capabilities of the team and fostering a culture of technical excellence.</li><li>Identify and address complex technical challenges and bottlenecks, proposing and implementing effective solutions.  </li></ul>Qualifications<ul><li>Proven experience as a Staff Engineer or equivalent senior technical leadership role in data infrastructure or platform at scale, ideally in a consumer or marketplace environment.</li><li>Deep understanding of distributed systems and modern data ecosystems — including extensive experience with Databricks, Apache Spark, Apache Kafka, Apache Flink, Apache Beam and DBT.</li><li>Demonstrated success in designing, building, and operating data platforms at scale, encompassing both batch processing and real-time streaming architectures.</li><li>Expertise in data warehousing concepts, advanced ETL/ELT processes, and analytics engineering best practices.</li><li>Exceptional programming skills, particularly in Python, Scala, or Java, and deep expertise with cloud platforms (AWS, GCP, or Azure).</li><li>Extensive experience working with privacy-sensitive datasets and implementing robust data observability and governance frameworks.</li><li>A strong technical background with a track record of hands-on architecture and development of complex data systems.</li><li>Ability to think strategically and pragmatically: you can define long-term technical strategies and execute rapidly.</li><li>Excellent communication and collaboration skills; you’re comfortable influencing technical direction and aligning diverse stakeholders across the organization.</li></ul>  Bonus points:<ul><li>Experience with machine learning infrastructure or ML Ops practices.</li><li>Familiarity with event-driven architectures in a mobile-first product environment.</li><li>Prior work in fashion, marketplaces, or sustainability-driven tech.</li></ul>

Staff Backend Engineer - Data Platform

<h2>Role</h2>Depop is looking for a Senior Machine Learning Scientist to join our new Core ML team in the UK. You will work alongside a cross-functional team of Product Managers, ML Engineers, and fellow ML Scientists, helping build and maintain foundational machine learning models and infrastructure, such as product matching models, image embedding services, and lightweight classifiers, that support multiple product and marketing use cases across Depop.As a senior member of the team, you will be expected to take ownership of high-impact projects, lead technical direction on core modelling efforts, and mentor others while working across multiple domains and stakeholders.<h2>Responsibilities</h2>You will:<ul><li>Research, design, and deliver robust machine learning solutions to solve cross-cutting problems within the fashion resale space</li><li>Work with and fine-tune models for representation learning, computer vision, and classification, and lead efforts to productionise and scale them</li><li>Identify and define requirements from multiple stakeholders across the business, and lead the design of general-purpose machine learning solutions that power features like content understanding, moderation, and personalization</li><li>Set up and conduct large-scale experiments to test hypotheses and guide model and product improvements, ensuring statistical rigour and real-world applicability</li><li>Stay up to date with research, actively contribute to internal knowledge sharing and ML best practices, and help shape the long-term technical strategy for the team</li><li>Participate in team ceremonies, such as agile cadences, technical whiteboarding sessions, and planning/roadmapping</li><li>Communicate technical findings clearly and confidently to both technical and non-technical audiences, including senior stakeholders</li></ul><h2>Qualifications</h2>Skills and Experience:<ul><li>Significant experience working as a Machine Learning Scientist, with a proven track record of delivering and scaling models that solve complex, real-world problems</li><li>Deep understanding of machine learning concepts and experience applying them in production settings, using frameworks such as Transformers, PyTorch, or TensorFlow</li><li>Strong Python skills, with the ability to write clean, modular, production-grade code, and a solid understanding of data engineering and MLOps principles</li><li>Ability to lead end-to-end ML projects, work independently in ambiguous problem spaces, and mentor junior team members</li><li>Strong collaboration and communication skills, with experience aligning technical approaches with cross-functional teams and stakeholders</li></ul>Bonus Points<ul><li>Experience with NLP, image classifiers, deep learning, or large language models</li><li>Experience with experiment design and conducting A/B tests</li><li>Experience building shared or platform-style ML systems</li><li>Experience with Databricks and PySpark</li><li>Experience working with AWS or another cloud platform (GCP/Azure)</li></ul>

Senior Machine Learning Scientist

<h2>Role</h2>Depop is looking for a dedicated Machine Learning Engineer to join our new Core ML team in the UK. You will work alongside ML Scientists, Backend Engineers, and MLOps to build, deploy, maintain, and monitor machine learning infrastructure, such as product matching pipelines, image embedding services, and lightweight classifier deployments, that support multiple product and marketing use cases across Depop.<h2>Responsibilities</h2>You will:<ul><li>Design and implement pipelines for training, deploying, and monitoring real-time and batch ML models</li><li>Work closely with ML Scientists to productionise models and improve reliability, latency, and observability</li><li>Partner with backend and product teams across Depop to define integration requirements and coordinate deployments of shared ML components</li><li>Help design and extend the ML platform at Depop in collaboration with the MLOps team, across areas such as:<ul><li>Robust prototyping and training workflows</li><li>CI/CD for model deployment</li><li>Real-time and batch model serving</li><li>Online/offline feature consistency via our feature store</li><li>Monitoring and alerting</li></ul></li><li>Hold high standards for operational excellence, including testing, monitoring, maintainability, and incident response</li><li>Contribute to a strong ML engineering culture focused on scalability, collaboration, and continuous learning</li></ul>Required Skills and Experience<ul><li>Proven track record of building and deploying ML pipelines and contributing to ML platform tooling</li><li>Solid understanding of ML workflows and experience supporting scientists through to production</li><li>Strong ownership mindset and ability to work independently</li><li>Excellent communication skills across technical and non-technical stakeholders</li><li>Experience designing systems in modern cloud environments (e.g. AWS, GCP)</li></ul>Technologies and Tools<ul><li>Python</li><li>ML and MLOps tooling (e.g. SageMaker, Databricks, TFServing, MLflow)</li><li>Common ML libraries (e.g. scikit-learn, PyTorch, TensorFlow)</li><li>Spark and Databricks</li><li>AWS services (e.g. IAM, S3, Redis, ECS)</li><li>Shell scripting and related developer tooling</li><li>CI/CD tools and best practices</li><li>Streaming and batch data systems (e.g. Kafka, Airflow, RabbitMQ)</li></ul>

Senior Machine Learning Engineer

We are seeking a dynamic and strategic Seller Growth Senior Manager to join our team at Depop, based in New York. In this role, you will play a pivotal part in accelerating the growth and success of our sellers on the platform. Role Overview: The primary goal of this role is to drive the growth of Depop’s seller community in the US by developing and executing strategic seller acquisition initiatives. In addition to acquiring new sellers, the role will focus on supporting their ongoing success on the platform — ensuring they become active, engaged, and high-performing contributors.This is a highly cross-functional role that will collaborate closely with teams across Product, Marketing, and Customer Support. The role includes managing a small team (1–3 direct reports), guiding them in the execution of acquisition programs and seller growth initiatives.Key Responsibilities:<ul><li>Develop and execute seller acquisition strategies to grow the number of high-quality sellers in the US, owning acquisition initiatives end to end, from ideation and messaging to targeting, activation and measurement. </li><li>Design and test onboarding and early engagement initiatives to support seller success and retention post-acquisition.</li><li>Partner cross-functionally with Product, Marketing, Customer Support, and Data teams to ensure acquisition strategies are well-integrated and supported across the business.</li><li>Manage and mentor a small team (1–3 direct reports), providing clear direction and coaching.</li><li>Represent the voice of sellers internally, championing their needs and feedback across all Depop teams. </li><li>Stay informed on industry trends and competitive strategies in marketplaces, social commerce, and small business enablement.</li></ul>Qualifications:<ul><li>Excellent communication and relationship-building skills, capable of influencing stakeholders at all levels, as well as external partners. </li><li>Strong leadership skills, with a proven ability to align cross-functional teams around shared goals and drive initiatives to completion.</li><li>Business development mindset, highly entrepreneurial, resourceful, and comfortable rolling up your sleeves to test, learn and iterate as required — with the ability to thrive in a fast-paced, dynamic environment where priorities evolve quickly. </li><li>Exceptional analytical capabilities, with experience using data and insights to inform decisions, optimize performance, and uncover new opportunities.</li><li>Proven track record in people management roles within seller growth, marketplace operations, or other high-growth, seller- or customer-facing functions.</li><li>Deep understanding of marketplace dynamics and seller behavior, ideally with experience in fashion, e-commerce, or social commerce sectors.</li></ul>Why Join Us? This role offers a unique opportunity to lead impactful initiatives that shape the growth trajectory of sellers on Depop&#39;s vibrant marketplace. You will work in a collaborative environment that values innovation and creativity, contributing directly to the success and evolution of our platform.

Senior Seller Growth Manager (12month FTC)

We’re looking for a Senior Product Designer with deep web expertise to shape the end-to-end buyer experience on Depop - from discovery and trust-building all the way through to checkout and post-purchase. You’ll play a key role in defining what shopping on a fashion marketplace should feel like - intuitive, inspiring, and seamless. If you enjoy solving complex problems, thrive in a fast-paced, mission-led environment, and care about crafting experiences that drive real business impact, we’d love to hear from you.Responsibilities<ul><li>Craft Strategy and Vision: Collaborate with the product trio to define and evolve the strategy for customer support, aligning with user needs and Depop’s overarching goals.</li><li>Drive Vision-Aligned Design: Design experiences that simplify and enhance Depop&#39;s customer support ecosystem, aligning with our product vision. e.g. our Help Centre, dispute resolution processes, and reporting functionalities</li><li>Optimise In-App and Web Channels: Synthesising qualitative and quantitative data, to expand and refine the support experience.</li><li>Develop Cross-Functional Collaboration: Build tools and features that empower not only the user, but also our support agents. Work closely with stakeholders to agree service design processes that underpin the user’s experience</li></ul><div>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 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>Experience with service design methodologies - able to map end-to-end user journeys across channels and touch points, and design for both front-stage and backstage experiences.</li><li>Proven ability to solve complex interaction design challenges and excellent visual design skills</li><li>Ability to design flows and experiences that simplify and distil down complex actions into usable interfaces</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></div>

Senior Product Designer

Contract: Fixed-term (12 months)We’re looking for a Senior Product Data Scientist to join our Insights team for a 12-month maternity cover. You’ll partner closely with product, engineering, and machine learning to deliver insights, drive experimentation, and shape the future of Depop’s product ecosystem.This role sits at the intersection of technical excellence and strategic impact. You will not only dive deep into data, pipelines, and experimentation frameworks, but also influence product direction, user experience, and commercial outcomes.What You’ll Do:Lead analytics and technical discovery for a core product area:Partner with product managers, engineers, and ML scientists to explore opportunities through advanced analytics. You&#39;ll apply analytical methods (e.g. statistical methods) and work with ML practitioners to assess algorithmic impact, define success metrics, and shape product direction with a strong technical foundation.Influence product and business strategy:Provide a strategic lens to product thinking—connecting your domain insights and helping the product team ladder up to company-wide goals. Be a thought partner and challenge assumptions, raise the quality of decision-making, and help drive a culture of evidence-based thinking.Design and run experiments:Define hypotheses, implement A/B tests, and rigorously evaluate impact with deep dives and customer behaviour insights to inform roll out decisions and future product development.Work together with other teams to enable self-serve data driven decision making:Collaborate with product, platform and data teams to ensure scalable, accurate datasets for analysis. Develop dashboards and reporting that drive awareness and actionable insights.What We’re Looking For:<ul><li>Strong SQL skills and experience querying large, complex datasets</li><li>Proficiency in Python, with experience in advanced analytics techniques, analyzing model outputs or supporting ML evaluation workflows</li><li>Familiarity with ETL workflows and debugging data issues</li><li>Proven experience with A/B testing design and interpretation</li><li>Hands-on experience with visualisation tools (Looker, Tableau, or similar)</li><li>Excellent communication skills—able to explain complex topics clearly and persuasively</li><li>Commercial mindset with the ability to balance user and business needs</li><li>Strong sense of ownership, highly organised, and proactive</li><li>Comfortable working across ambiguity and fast-changing environments</li></ul>Bonus Points:<ul><li>Experience in C2C marketplaces or mobile-first consumer products</li><li>Experience working alongside machine learning teams or embedding data science in ML-powered product discovery</li></ul>

Senior Data Scientist (Product) 12 Month FTC

We are seeking a highly commercial and strategic Senior Finance Business Partner to act as a trusted advisor to our dynamic Marketing leadership team. Your primary goal is to drive financial performance, optimise spend, and provide critical insights to fuel our growth.You will be deeply integrated into the Marketing function in this true business partnering role. You&#39;ll be expected to challenge assumptions, influence key commercial decisions, and shape strategy through compelling storytelling and robust financial analysis.We are seeking a hands-on individual who can collaborate effectively within a team yet also possesses the autonomy and confidence to engage directly with the business. This role will be both challenging and rewarding as you manage multiple priorities in a dynamic, fast-paced environment to support our ambitious growth strategy.  Responsibilities:Strategic Partnership &amp; Decision Support:<ul><li>Serve as a dedicated and embedded thought partner to the marketing leadership team and direct reports, proactively identifying opportunities for value creation and risk mitigation, going beyond simple budget oversight to influence long-term strategic direction.</li><li>Bridge the gap between Finance and the business by demystifying financial data, translating complex financial concepts into actionable insights for non-finance stakeholders.</li><li>Constructing financial models for strategic initiatives including sensitivity analysis and scenario planning to understand the potential range of outcomes and presenting a clear view of the financial risks and rewards.</li><li>Support on robust business cases that go to the executive leadership team, working alongside and in collaboration with analytics and strategy to articulate not just the financial projections but also the strategic rationale, competitive landscape, potential risks, and operational requirements needed for success.</li></ul>Financial Planning &amp; Analysis<ul><li>Own the entire financial planning cycle for Marketing and other areas of the business as required, including the annual budget, quarterly re-forecasts, and the 3 year strategic plan. You will set clear timetables, provide guidance, and rigorously challenge assumptions from each marketing sub-function to deliver a consolidated, bottoms-up plan that aligns with top-down corporate targets.</li><li>Prepare and present compelling monthly review packs for the leadership team. Your focus will be on the &#39;why&#39; behind the numbers, providing deep-dive analysis on performance drivers and delivering forward-looking commentary on emerging trends, risks, and strategic opportunities.</li></ul>Process Improvement &amp; Leadership<ul><li>Constantly identify and implement improvements to financial processes, reporting, and tools to increase efficiency and the level of insight provided to the business</li><li>Champion financial literacy and commercial acumen across the Marketing function through informal training and day-to-day partnership, empowering marketers to make better, faster decisions.</li></ul>Requirements:<ul><li>CIMA or ACCA accounting qualified</li><li>​​You will be an ambitious, dedicated individual that is excited about the opportunity to develop in a fast-paced global business that is constantly changing</li><li>Proven experience in a commercially focused Finance Business Partner or FP&amp;A role</li><li>Exceptional financial modelling, forecasting, and analytical skills with an expert-level proficiency in Microsoft Excel / Google sheets</li><li>Outstanding communication and interpersonal skills, with a demonstrated ability to build relationships and influence senior stakeholders.</li><li>Great awareness of deadlines and competing priorities. </li><li>Ability to work autonomously and as part of a team. Natural curiosity to seek out improvements and proactively taking initiative.</li></ul>

Senior Finance Business Partner (Marketing)

We are seeking a commercially astute and strategically-minded Senior Finance Business Partner to act as a trusted advisor to our General Manager of Fulfilment and direct leadership team. This pivotal role covers the critical domains of Shipping, Payments, and Fraud Prevention, which together represent a strong business focus and significant area of our P&amp;L.Your primary goal is to drive operational efficiency, optimise a significant cost base, and enhance the customer experience through data-driven financial insights. This role moves far beyond traditional cost accounting; you will be a key player in high-stakes commercial negotiations, strategic decision-making, and long-term planning; directly impacting both our profitability and our customer value added proposition.We are seeking a hands-on individual who can collaborate effectively within a team yet also possesses the autonomy and confidence to engage directly with the business. This role will be both challenging and rewarding as you manage multiple priorities in a dynamic, fast-paced environment to support our ambitious growth strategy.  ResponsibilitiesCommercial &amp; Strategic Partnership:<ul><li>Act as the dedicated financial and strategic advisor to the Shipping, Payments, and Fraud teams, translating operational initiatives into financial outcomes.</li><li>Provide robust financial modelling and analysis to support commercial negotiations with key external partners.</li><li>Develop and champion compelling business cases for major strategic initiatives. Eg new shipping services, payment types or new fraud detection platforms..</li><li>Partner with the Payments team to analyse key performance indicators such as payment authorisation rates and chargeback levels, modelling the financial impact of any changes.</li><li>Collaborate with the Fraud prevention team to quantify the Return on Investment (ROI) of fraud tools and strategies, striking the critical balance between preventing fraud losses and minimising friction for legitimate customers.</li></ul>Financial Planning &amp; Analysis:<ul><li>Own the entire financial planning cycle for fulfilment, including the annual budget, quarterly re-forecasts, and the 3 year strategic plan, covering both revenue and costs, challenging assumptions and ensuring alignment with the company&#39;s strategic objectives.</li><li>Deliver insightful and actionable monthly performance analysis and commentary for senior leadership. Your reporting will tell the story behind the numbers, explaining why variances occurred and what actions should be taken.</li><li>Become the in-house financial expert on our total cost of payment acceptance, enabling modelling and analysis of the impact of different payment methods, transaction and interchange fees on our bottom line.</li><li>Develop and enhance KPI dashboards in partnership with the Data &amp; Analytics team to provide real-time visibility into the key operational and financial drivers of the Fulfilment function.</li></ul>Requirements<ul><li>CIMA or ACCA accounting qualified</li><li>​​You will be an ambitious, dedicated individual that is excited about the opportunity to develop in a fast-paced global business that is constantly changing</li><li>Proven experience in a commercially focused Finance Business Partner or FP&amp;A role</li><li>Exceptional financial modelling, forecasting, and analytical skills with an expert-level proficiency in Microsoft Excel / Google sheets</li><li>Outstanding communication and interpersonal skills, with a demonstrated ability to build relationships and influence senior stakeholders.</li><li>Great awareness of deadlines and competing priorities. </li><li>Ability to work autonomously and as part of a team. Natural curiosity to seek out improvements and proactively taking initiative.</li></ul>

Senior Finance Business Partner (Shipping, Payments and Fraud)

We’re looking for a mid-weight User Researcher to join our growing UX Research team and help us understand our users, their needs, and the experiences that drive them. You’ll support research efforts across product teams, working closely with fellow researchers, designers, product managers, and analysts to bring the voice of the user into everyday decision-making.At Depop, user research is embedded in how we build and iterate on products. This is a great opportunity for someone with a strong foundation in user research methods who is looking to deepen their skills, grow their impact, and work on meaningful problems in fashion, marketplaces, and community.What you&#39;ll do<ul><li>Support end-to-end research efforts across a product or feature area, with guidance from more senior researchers.</li><li>Work closely with product teams to define research goals, plan appropriate methods, recruit participants, and deliver findings.</li><li>Conduct a variety of research studies, including interviews, surveys, usability tests, and concept evaluations, to inform product design and direction.</li><li>Collaborate with designers, PMs, and analysts to identify knowledge gaps and turn business questions into research questions.</li><li>Contribute to synthesis efforts by analysing qualitative and quantitative data, helping to generate clear, actionable insights.</li><li>Help communicate findings in ways that engage teams, from short-form summaries to presentations, workshops, or insight decks.</li><li>Champion the user perspective in product conversations and design critiques.</li><li>Contribute to the development of research team practices and shared resources.</li></ul>Who you are<ul><li>You have experience conducting UX research in a product or design environment.</li><li>You have experience applying a range of research methods (e.g. usability testing, interviews, surveys) and know when to use them.</li><li>You’re comfortable working with data - both qualitative and quantitative - and can spot meaningful patterns in user behaviour.</li><li>You communicate clearly and collaborate well with designers, PMs, and engineers</li><li>You’re a strong storyteller who can turn insights into action.</li><li>You’re curious, adaptable, and excited to keep learning and growing in your research practice.</li><li>You care deeply about users and want to help create meaningful, inclusive, and delightful experiences.</li></ul>Bonus if you have<ul><li>Experience working in consumer tech, marketplaces, or fashion.</li><li>Familiarity with remote testing and research platforms like UserTesting, Userzoom, Maze, Dscout</li></ul>

User Researcher

Job DescriptionAs an iOS engineer at Depop you’ll work in one of our Product teams to add new functionality as well as improve existing features through a data driven A/B testing workflow.   You will be working in Swift, alongside a cross-functional team, leveraging our Mobile Continuous Integration pipeline, with Unit and Integration Testing built in, to iterate our iOS application to help our millions of users.  You will work in a multidisciplinary product team that is supported by a much wider community of Depop iOS developers, insights teams, product managers and platform engineers.  Want to find out more about Depop &amp; our engineering team? Take a look at our blog! We write about technology, people and smart engineering - <a href="https://workable.com/nr?l&#61;https%3A%2F%2Fengineering.depop.com%2F" target="_blank">https://engineering.depop.com</a>/  Responsibilities:<ul><li>Support the team to deliver weekly features/upgrades.</li><li>Take full ownership of the components the team ships to the iOS app. Monitor and resolve issues.</li><li>Support the A/B testing workflow and collaborate with the insights team to ensure high quality.</li><li>Work closely with the design, product management and backend teams to ensure that new features are implemented efficiently and effectively.</li><li>Refactor existing code to leverage the latest developments in the iOS framework.</li><li>Communicate any engineering challenges faced when supporting a wide range of devices.</li></ul>Qualifications<ul><li>Commercial experience using Swift or Objective-C, with real exposure to different platforms and OS versions.</li><li>Experience working within a Mobile Continuous Integration framework.</li><li>Experience with Unit (XCTest) and Integration Testing.</li><li>Experience in consuming a RESTful API.</li><li>Prior experience mentoring junior developers</li></ul> Desirable: <ul><li>Experience with the VIPER architecture.</li><li>Experience with A/B testing and solving complex experiments</li></ul>

iOS Engineer

Job DescriptionDepop is looking for an experienced Senior Web Engineer to join us permanently. Within this role, you’ll be working in the Marketplace product engineering pillar developing the services used for interaction between our customers, Depop agents, and Depop. As a member of this multi-functional space, you will collaborate with product, design and other specialists to build a detailed, efficient, and credible journey for our users, from the moment they register to the moment they receive an order or need customer support.You’ll be responsible for the entire lifecycle of small/medium projects of moderate complexity in both our web app and web APIs. You’ll need to be comfortable dealing with uncertainty and ambiguity, proactively pulling in people at the right time. Your work will be pivotal in ensuring we facilitate excellent interactions between Depop and our customers on the platform. Responsibilities:  As a Senior Web Engineer within this team, you can expect to:<ul><li>Work closely with Engineering Managers, Product Managers, Product Designers, and various Engineers to understand problems and to craft 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>Take ownership of product development, from feature discovery, to the breakdown of work, and its implementation</li><li>End-to-end application support, including production incident management </li><li>Adopt agile methodologies and user-centred thinking</li><li>Engage in a culture of continuous improvement by attending events such as blameless post-mortems, architecture reviews, and engineering guild sessions. </li><li>Collaborate daily with fellow engineers in the multi-functional environment  to address problems and write code</li><li>Mentor and coach your colleagues  </li></ul>Qualifications<ul><li>Proven JavaScript skills, including concepts like asynchronous programming, promises, closures, types, and ES6.</li><li>HTML/CSS experience, including concepts like layout, specificity, cross browser compatibility, and accessibility.</li><li>Experience in TypeScript, React and Node.js. </li><li>Building automated tests using Javascript test frameworks.</li><li>Experience consuming RESTful API services.</li><li>Comfortable in using Git.</li><li>Experience working collaboratively as part of an agile team in a product-focused business.</li></ul> Nice to haves:<ul><li>Experience deploying web applications at scale.</li><li>Experience writing RESTful API services, either in Javascript or Kotlin/Scala.</li><li>Knowledge of Docker and Kubernetes.</li><li>Experience with databases like PostgreSQL, DynamoDB, MySQL</li><li>Experience of CI (Continuous Integration) and CD (Continuous Delivery) and adopting DevOps with maintaining pipelines using Jenkins.</li></ul>

Senior Web Engineer

<h2>Role Overview:</h2>We&#39;re looking for a Senior FinOps Analyst experienced in cloud cost management, particularly across AWS, Databricks and Datadog. This is a new role for Depop, and one which we see as crucial for optimising our cloud spend, driving strategic cost-saving initiatives, and providing actionable insights across our cloud services.Operating in a fast-paced and agile environment, this role supports the Engineering teams, working closely with Finance to enable the business to achieve strategic growth and significant cost savings. Reporting directly to the CTO with a dotted line into our Lead Vendor Manager, you&#39;ll work directly with Engineering while also collaborating closely with Legal, Finance, and our parent company, Etsy. Your insights and recommendations will be instrumental in aligning cloud usage with business objectives and financial forecasts.Key Responsibilities:Cloud Spend Strategy &amp; Analysis:<ul><li>Develop and maintain accessible dashboards and reports, ensuring transparency of spend.</li><li>Monitor, analyse, and report cloud expenses for primary vendors as well as a number of our other key service providers like Cloudflare &amp; Tecton, collaborating with Engineering and Machine Learning teams to forecast and align future usage with platform developments.</li><li>Identify optimisation opportunities through analysis of cloud usage patterns, industry trends, pricing models, and purchasing options.</li><li>Forecast and lead cloud budgets</li><li>Define, track, and communicate critical metrics to measure efficiency of cloud spend optimisation efforts.</li><li>Regularly prepare and present clear cloud spend analyses to senior technical and financial partners.</li></ul>Operational Management &amp; Collaboration:<ul><li>Apply your expertise in cloud billing models, tools, and configurations to deliver actionable recommendations on cost savings directly to Engineering Managers and leadership.</li><li>Act as the central point of contact facilitating effective communication across Engineering, Product, Finance, and Etsy.</li><li>Engage cloud service providers to negotiate driven pricing and contracts.</li><li>Collaborate across Depop to supervise dependencies, timelines, and mitigate risks related to cloud spend.</li><li>Work closely with the Vendor Management team to ensure timely processing of cloud purchase orders and payments.</li><li>Maintain compliance with cloud vendor agreements, contractual terms, and internal financial policies.</li></ul>Cloud Spend Enablement:<ul><li>Stay abreast of the latest practices, industry trends, and compliance requirements, driving a culture of financial accountability and efficient cloud usage.</li><li>Communicate standard processes around cloud spend management, budgeting, and forecasting to all relevant and interested partners</li><li>Develop training materials and mentorship to nurture cost awareness and encourage responsible cloud usage. </li></ul>Requirements:<ul><li>Proven experience in this area: Previously undertaken roles as a FinOps Analyst or in a similar, with a focus on cloud cost management.</li><li>Hands-on cloud expertise and strong technical literacy: A strong and applied understanding of cloud services and infrastructure, including AWS, Databricks and Datadog</li><li>Analytical and problem-solving skills: business driven attitude and user focused approach to identify and tackle problems </li><li>Teamwork, interpersonal and communication skills: Strong communication and collaboration skills, with the ability to collaborate effectively with cross-functional teams</li><li>Financial leadership skills: Knowledge of financial management principles and experience in financial analysis, modeling, forecasting, and reporting. </li><li>Data analysis and visualisation skills: Proficiency in data analysis techniques, including data visualisation and statistical analysis. </li><li>Organised, agile and pragmatic: Ability to operate in a fast-paced, ambiguous environment and lead multiple priorities simultaneously</li><li>Experience with FinOps practices and compliance: Experience implementing and maintaining FinOps practices and methodologies, including knowledge of cost optimisation frameworks and relevant industry regulations and compliance needs </li></ul>Nice to have: <ul><li>Familiarity with cloud cost optimisation tools</li><li>Experience with SQL, Python, and data analysis tools</li><li>Experience in strategic financial planning and analysis</li></ul>

Senior Cloud FinOps Analyst

Role:As a Senior iOS engineer at Depop you’ll work in one of our Product teams to add new functionality as well as improve existing features through a data driven A/B testing workflow. You will be working in Swift, alongside Backend and other iOS Engineers, leveraging our Mobile Continuous Integration pipeline, with Unit and Integration Testing built in, to iterate our iOS application used by millions of users.You will work in a small multidisciplinary product team that is supported by a much wider community of Depop iOS developers, insights teams, product managers and platform engineers.Want to find out more about Depop &amp; our engineering team? Take a look at our blog! We write about technology, people and smart engineering -<a href="https://workable.com/nr?l&#61;https%3A%2F%2Fengineering.depop.com%2F" target="_blank"> https://engineering.depop.com/</a>Responsibilities:<ul><li>Support the team to deliver weekly features/upgrades.</li><li>Take full ownership of the components the team ships to the iOS app. Monitor and resolve issues.</li><li>Support the A/B testing workflow and collaborate with the insights team to ensure high quality.</li><li>Work closely with the design, product management and backend teams to ensure that new features are implemented efficiently and effectively.</li><li>Refactor existing code to leverage the latest developments in the iOS framework.</li><li>Communicate any engineering challenges faced when supporting a wide range of devices.  </li></ul>Qualifications:<ul><li>Commercial experience using Swift or Objective-C, with real exposure to different platforms and OS versions.</li><li>Experience working within a Mobile Continuous Integration framework.</li><li>Experience with Unit (XCTest) and Integration Testing.</li><li>Experience in consuming a RESTful API.</li><li>Prior experience mentoring junior developers  </li></ul>Desirable: <ul><li>Experience with the VIPER architecture.</li><li>Experience with A/B testing and solving complex experiments</li></ul>

Senior iOS Engineer

Depop is looking for a Senior Data Platform Engineer to help architect, build, and scale our data platform, empowering teams with self-serve capabilities. You’ll combine hands-on technical expertise with strategic thinking to shape the foundation that supports our products and customers, enabling teams own, process, query, and manage their data with efficiency and ease.  You will work closely with people from a wide variety of domains, as well as our Insights, Analytics Engineers, Data Scientists, MLOps, MarTech and other Data Engineering teams. You will help manage our growing data needs and support increasingly complex business problems by building and promoting self-service tools and data best practices that will be used across the organisation, including taking ownership of our data transformation and orchestration tooling; batch and streaming infrastructure and exploration tools (Databricks, Airflow, dbt) and look after our Datalake (ingestion, storage, governance, privacy).  You’ll work with a modern, cutting-edge data stack and play a key role in shaping data-as-a-product practices. As we scale to meet Depop’s bold growth ambitions, you’ll help introduce the next generation of data capabilities.Want to find out more about Depop &amp; our engineering team? We write about technology, people and smart engineering here: <a href="https://workable.com/nr?l&#61;https%3A%2F%2Fengineering.depop.com%2F" target="_blank">https://engineering.depop.com/</a>  What You’ll Do<ul><li>Pave a path for data as product: Champion data as a first-class citizen by introducing robust data observability and governance tooling into the platform</li><li>Software Engineering: Develop microservices, libraries, data pipelines </li><li>Technical Design: implement, and evolve platform services that enable teams to work with data efficiently and securely, using modern tooling such as Terraform, Docker, and cloud-native patterns</li><li>Lead Technological Initiatives: Lead initiatives working with end users: data scientists, ML engineers, analytics engineers, product engineers and beyond to enable, support and accelerate their data needs, embracing a platform as product attitude.</li><li>Uphold operational excellence: Automating infrastructure and monitoring, leading incident response and root cause analysis, and continuously improving the health and performance of our data platform. Champion scalable standard processes through automation, clear documentation, and knowledge sharing via tutorials and training sessions. </li><li>Stakeholder Collaboration: Work closely with both technical and non-technical stakeholders to define, design, and implement solutions within our Data Platform. Trusted relationship will be key for success</li><li>Invest in others’ growth: Mentoring and sharing knowledge, helping elevate technical standards and fostering a culture of continuous improvement.</li><li>Build on engineering culture You take an active role in improving the engineering culture at Depop and encourage others around you to follow these values</li></ul>What You’ll Bring<ul><li>Advanced knowledge in a high-level programming language (e.g. Python, Scala) with proven foundation in software engineering best practices - testing, clean coding standards, code reviews, pair programming, automation-first mindset</li><li>Experience delivering data compliance &amp; privacy solutions ensuring that we uphold data subject rights for our customers</li><li>Experience introducing a data governance &amp; observability stack enabling rich data lineage, data contracts, SLA/SLO, tagging and data quality monitoring capabilities both on our own platform but also for data owners</li><li>Proven experience designing, building, and scaling data platforms and backend infrastructure in production environments - have worked to enable advanced data users:  ML Engineers, analysts, analytics engineers and have a strong grasp of their needs and how they operate</li><li>Big data technologies, with expertise in tools &amp; platforms such as Airflow, dbt, Kafka, Databricks and data observability &amp; catalogue) solutions (e.g. Monte Carlo, Atlan, Datahub)</li><li>Cloud Platform Proficiency: Familiarity with AWS, GCP, or Microsoft Azure, with hands-on experience building scalable, reliable data solutions on cloud platforms</li><li>A passion for learning new things and keeping on top of the latest developments and technologies in our field. We take pride in our learning and make sure to have dedicated time set aside for our growth and development (we offer personal development time and other platforms to share knowledge with your peers)</li></ul>Nice To Have<ul><li>Knowledge of systems design within a modern cloud-based environment (AWS, GCP) including AWS primitives such as IAM, S3, RDS, EMR, ECS and more</li><li>Advanced experience working and understanding the tradeoffs of at least one of the following Data Lake table/file formats: Delta Lake, Parquet, Iceberg, Hudi</li><li>Previous hands-on expertise with Spark</li><li>Experience working with containerisation technologies - Docker, Kubernetes</li><li>Streaming Knowledge: Experience with Kafka/Flink or other streaming ecosystems, with a solid understanding of their components</li><li>DevOps experience building CI/CD pipelines (Jenkins), IaC (Terraform)</li><li>Direct experience contributing to projects involving lakehouse / medallion architectures in Databricks</li></ul>