Engineering Manager Depop

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Depop is a peer-to-peer circular fashion marketplace where anyone can buy sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new.

Founded in 2011 Depops diverse community has helped move resale into the mainstream where buying secondhand is no longer an alternative but how people of different ages now engage with fashion. Today more than 56 million registered users come to Depop to find great value express their own personal style and give clothes a longer life. We believe that everything you want already exists and our role is to help people discover it. From everyday essentials to vintage and designer finds Depop brings together a wide range of affordable styles in one place. Its a marketplace where anyone can clear out their wardrobe or build a business explore their style and take part in a more circular way to shop.

Powered by a team of over 500 people our company is headquartered in London with offices in New York. For more information visit our News Room here.

We are looking for an Engineering Manager to lead a team of talented engineers building large-scale systems and ML-powered products across recommendations pricing search and related marketplace this role you will help define technical direction drive execution and support the growth of a high-performing team delivering solutions at scale. You will partner closely with product data science analytics design and peer engineering teams to create experiences that improve relevance personalization and marketplace performance.

This is a great opportunity for a people-first engineering leader who enjoys developing talent solving complex technical problems and balancing near-term delivery with long-term platform and product strategy.

• Lead and develop a high-performing engineering team delivering scalable products and platforms spanning recommendations pricing search and machine learning use cases.

• Drive execution of key initiatives that improve customer relevance personalization and marketplace outcomes while maintaining a high bar for quality reliability and operational excellence.

• Partner with product managers data scientists analysts designers and engineering groups across functions to define roadmaps prioritize opportunities and deliver measurable business impact.

• Shape the technical vision for your team guiding architecture engineering standards experimentation practices and production readiness for large-scale distributed and ML-enabled systems.

• Foster an inclusive collaborative team culture through coaching feedback hiring and career development helping individuals grow while strengthening overall team health.

• Balance short-term delivery goals with long-term investment in platform capabilities system performance and maintainability to support innovation at scale.

What you will bring:

• 10 years of professional software engineering experience with 23 years of experience managing and developing engineering teams.

• Bachelors degree in Computer Science Engineering or a related technical field or equivalent experience.

• Strong technical background in building and operating scalable distributed systems with experience in one or more of the following areas: search recommendations pricing machine learning or other data-intensive applications.

• Experience leading teams that deliver customer-facing products or platform capabilities using modern engineering practices strong execution discipline and measurable outcomes.

• Ability to collaborate effectively with cross-functional partners.

• Strong communication and people leadership skills including coaching performance management organizational planning and the ability to align stakeholders around technical and business priorities.

Additional Details

This job posting relates to an existing vacancy within eBay.

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