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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.

Role:We’re currently hiring for a Senior Product Manager (AdTech) in our London HQ to run one of Depop’s cross-functional teams. You’ll report to the Group Product Manager in the Martech pillar and you will be expected to help guide your unit while delivering a contribution to its impact and strategic roadmap.Responsibilities:Vision, strategy and roadmap:<ul><li>Create and evolve a strategic roadmap for our AdTech capabilities by identifying emerging trends and technologies in AdTech and assess their potential impact on Depop </li><li>Collaborating with leadership to ensure AdTech strategy supports broader business objectives</li><li>Maintain and prioritise a backlog of improvements that is balanced and refined continuously</li><li>Define key performance indicators (KPIs) to measure the success of AdTech initiatives</li></ul>Deciding what to build:<ul><li>Prioritising features to deliver the highest impact against quarterly objectives based on your team’s resources and a full and future facing view of the ever-changing AdTech / Privacy landscape</li><li>Combine research, an understanding of marketing strategy, rigorous data exploration and technical guidance to make informed decisions about the vital few worth building, what to not pursue and when to adjust focus where necessary. You iterate on hypotheses and solutions as you learn. </li><li>Scope and effectively prioritise new features to ensure the right balance between effort and impact.</li></ul>Owning how we build it:<ul><li>Facilitating close alignment across the paid marketing and adtech development teams to ensure features are built to stakeholder specifications.</li><li>Help to validate marketing data across multiple vendor systems by understanding the flow of event passback and how to test on different ad-networks</li><li>Ensure disparate marketing tools within the Depop stack are fully integrated to maximise ROI</li><li>Collaborate with AdTech engineers to understand and optimise the data architecture, working as a bridge between the technical teams and our marketing stakeholders</li><li>Recognising obstacles to the team, and making sure they are escalated or resolved before they impact delivery. </li><li>Keeping effort vs value at the forefront of your decision making.</li></ul>Keeping everyone aligned and informed:<ul><li>Aligning with the Group PM for martech and the functional leadership on the priorities and strategic goals of the wider product area</li><li>Motivating the adtech team and giving them the context they need to reach their potential. Creating a team culture that keeps people engaged and focused.</li><li>Building a feedback loop that enables the business to understand the impact of adtech strategy</li><li>Identifying and leveraging the expertise of key functional stakeholders (e.g. Engineering, Design, Product Marketing) and other product squads to help shape and execute on the vision for your area and fully understanding the opportunities, potential solutions, and constraints. </li></ul>Requirements:Must-haves:<ul><li>Expert adtech domain knowledge. You have a deep and applied understanding of the advertising ecosystem, including product catalogues, ad conversion data, targeting and measurement, as well as the changing privacy and compliance scape</li><li>You have a proven ability to roll out marketing technology solutions in mobile apps and on web, including contributing to large cross-functional projects end to end</li><li>Great commercial awareness. You think constantly about driving business results and base your decisions on data, user interviews, and rigorous analysis.</li><li>Resilience. We’re scaling fast. The things that we do today won’t work tomorrow. You need to be comfortable with the rate of change we’re going through, and excited by the opportunities that afford.</li><li>A strong sense of ownership and be highly organised. You create order in the world around you and get huge satisfaction from delivering the highest quality features.</li><li>Excellent communication and leadership skills. You are adaptable, articulate, and can effectively influence and collaborate with all levels of stakeholders </li><li>You have considerable experience as a Product Manager/Owner or SME in an agile, fast-moving environment, with a focus on AdTech or digital advertising products (feeds, offsite ads, attribution etc)</li></ul>Things that would be useful, but are not essential:<ul><li>Experience working in a marketplace business.</li><li>Experience working in a mobile-first environment or on social products.</li><li>Applied knowledge of other aspects of Martech/marketing experience, for example CRM and customer engagement tooling</li><li>An engineering background</li><li>Experience with customer data platforms like Segment and building reverse ETL systems, tag management tools such as Google Tag Manager, and Marketing Analytics software such as Branch and GA4</li><li>Experience working across a range of ad-networks and marketing channels incl. Google’s ad ecosystem, Meta, Tiktok, Snap and others</li><li>A love of fashion, especially if you’re already part of the Depop community.</li></ul>

Senior Product Manager (AdTech)

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 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 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>Additional InformationUK Benefits Health &#43; Mental Wellbeing<ul><li>Cash-plan or PMI - you have the choice of a healthcare plan that best suits you</li><li>Subsidised counselling and coaching - we partner with Selfspace to provide you with the opportunity for a good conversation with a qualified person</li><li>Cycle to Work scheme - choose between Evans or the Green Commute Initiative to help access a bike for your commute</li><li>Employee Assistance Programme (EAP) - have access to a confidential support network of expert advice 24/7</li><li>Mental Health First Aiders - we have trained individuals across the business to offer support and signposting</li></ul>Work/Life Balance<ul><li>25 days annual leave with the option to carry over up to 5 days</li><li>1 company-wide day off per quarter, for you to take some time for yourself and decompress</li><li>2 activism days per year for you to use for volunteering, demonstrations or internal initiatives</li><li>We offer sabbaticals for our long-serving employees.</li></ul>Flexible WorkingWe’re Flexa® accredited, meaning we offer genuinely flexible working. MyMode is our hybrid-working model, designed to empower our employees to choose a working mode that works for them. MyMode is composed of 3 working modes: Flex, Office Based and Remote.<ul><li>Flex: we&#39;d love you to head to your nearest Depop office once a week, but feel free to work from home the rest of the week.</li><li>Office: Want to head into the office more? No problem, you can opt to be &#34;Office-Based&#34;, with your very own desk.</li><li>Remote: depending on your role you can request to be a remote worker, and only head into the office 4 times per year.</li></ul>All of our offices are also dog-friendly! Do your best work with your best friend. You can also apply to work abroad for 4 weeks of the year (in UK tax treaty countries).Family Life<ul><li>Our parental leave policies aim to support and enable parents to play equal roles in nurturing their families, in a way that is flexible and truly gender-neutral. Our full-time regular employees are eligible for 18 weeks of paid parental leave for the birth or adoption of their child. We also offer IVF leave, shared parental leave and paid emergency parent/carer leave.</li></ul>Learn and Grow<ul><li>We offer budgets for conferences, learning subscriptions and more. We also sponsor and run a myriad of programmes, conferences and meet-ups to upskill our employees and enhance their journey with us.</li></ul>Your Future<ul><li>Life Insurance (financial compensation of 3x your salary)</li><li>Pension (Depop will match your contribution up to 6% of your qualifying earnings)</li></ul>And finally, as a valued Depop employee we waive all of our employees’ fees when they sell on Depop so you can ship your sold items anywhere in the UK for free.

Backend Engineer

<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’s two ‘Retrieval’ teams, ‘Search’ and ‘Recommendations’ are at the heart of the discovery experience, guiding buyers to the perfect listings within Depop’s diverse inventory. We’re looking for a Product Manager to lead one of these teams, owning its roadmap and collaborating with Engineering and Machine Learning partners to craft systems that power relevant, personalised discovery for our users. Reporting to the Product Lead for Depop’s Match initiative, you’ll work cross-functionally with Product Managers from other areas across the business to understand and prioritise their needs.Responsibilities:Strategy and roadmap:<ul><li>Work with technical co-partners to define and implement a product vision and strategy.</li><li>You won’t be expected to come up with all the ideas, but instead facilitate excellent conceptualisation, prioritisation and decision making with your technical co-partners. </li><li>Work with Product Analysts to define and monitor the key metrics for your team and ensure ongoing experimentation best practices. </li></ul>Deciding what to build:<ul><li>Prioritise your team’s time and resources to achieve the maximum progress on key quarterly objectives, ensuring efforts are directed where they matter most</li><li>Interact with stakeholders throughout the business to understand and prioritise their retrieval needs</li><li>Use user research and thorough data analysis to make informed decisions about what to and what not to build and ensure this technical team remains connected to the needs of our users. </li></ul>Keeping everyone aligned and informed:<ul><li>Aligning with the Product lead and the functional leadership on the priorities and strategic goals of the wider ‘Match’ product area (Recommendations, Search, Ranking teams)</li><li>Keeping all stakeholders informed about team direction and progress</li><li>Motivating the team and giving them the context they need to reach their potential</li></ul>Requirements:<ul><li>Experience as a Product Manager ideally working with ML products, or in a highly relevant technical field.</li><li>Excellent communication skills. You are logical, articulate, and can work collaboratively with highly technical stakeholders.</li><li>A strong sense of ownership and be highly organised. You create order in the world around you and get huge satisfaction from delivering the highest quality features</li><li>Beginner’s Mindset is one of our core values. We’re a learning organisation, and a group of people that thrive on getting better every day. Your curiosity and thirst for knowledge are more important than what you know already.</li><li>Great commercial awareness. You think constantly about driving business results, and base your decisions in data, user interviews, and rigorous analysis</li></ul>Things that would be useful, but are not essential:<ul><li>Experience working in a marketplace business</li><li>Experience working in Recommendations, Search or Ranking</li><li>Technical background, for example, engineering or machine learning</li><li>A love of fashion, especially if you’re already part of the Depop community</li></ul>

Product Manager

We are looking for a Product Data Scientist to become an integral member of our Insights team. The product analytics team works closely with product stakeholders to support all aspects of the Depop product. This includes curating and driving inventory, helping our buyers find what they are looking for, ensuring all of our users are getting good value, creating fresh and exciting content and growing the platform. We also work with many other parts of the business, for example the data team, to ensure that data being produced is accurate and useful for analysis, or the data science team to assess how well their work is helping our users navigate the Depop experience. You will work with a product analytics lead to support a set of product squads on discovery work, experimentation and measurement, using analytical methodology and insights. You will also work with your Insights team to gain knowledge of the wider Depop business and an understanding of how your product area fits into the overall ecosystem. This role will therefore require you to develop a deep understanding of a specific area and also a high level view across the business, enabling you to guide your stakeholders to make robust, data-driven business decisions.Responsibilities:<ul><li>Supporting with the product teams’ on analytical requests: you will work closely with the product teams in order to help them identify areas of opportunity, measure effect sizes through experimentation and track key metrics through dashboards and visualisations</li><li>Strategic thinking: you will be expected to bring a strategic view to all of your work. You will be expected to build deep strategic thinking to product improvements in our area for our users, whilst also the ability to have a wider strategic view across the business, understanding how your remit is serving the goals of the overall product organisation.</li></ul>Requirements:<ul><li>Proficiency in SQL and the ability to work with large datasets</li><li>Experience with visualisation tools like Looker or Tableau</li><li>Understanding of Python and some command over ETL scripts</li><li>An analytical mind with good problem-solving skills and a love of numbers</li><li>Commercial awareness and a proactive attitude to make a difference and drive impact</li><li>A hunger to learn, natural curiosity and a keen eye for detail</li><li>A strong sense of ownership and highly organised nature</li></ul>Bonus points for:<ul><li>Experience working within a P2P marketplace or consumer-facing mobile-first products</li><li>Experience with experimentation and A/B testing</li></ul>

Product Data Scientist

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>