
Engineering Manager
ScorePlay · Paris, France
Applications are made on ScorePlay's own site. We never sit in the middle.
Job description
ScorePlay is the AI-powered media infrastructure for sports, built to automate the content operations behind the world's biggest sports organizations. We work with 300+ leagues, competitions, teams and broadcasters – including Ligue 1 and Premier League clubs, NBA and NFL teams, the Tour de France, the Australian Open, and leading bodies like UEFA and FIBA – helping them turn every moment on and off the field into high-value, structured content. Our platform brings all their media into one place and makes it effortless to find, edit and share in seconds. Founded in 2021, we’re a 50-person team based between New York and Paris, growing 2x year over year with 98% retention. We’ve raised $20M+ from top investors including Alexis Ohanian and Harry Stebbing’s 20VC and elite athletes like Kevin Durant, Raphaël Varane, Mario Götze, Nico Rosberg and Giannis Antetokounmpo. If you’re passionate about sports and thrive in fast-paced environments - and you want to help shape how the next generation of fans experience sports, you’re in the right place. We’re on track to become the global leader in sports media, and this is definitely the best time to join our adventure. ⚙️ THE ROLE ScorePlay is the platform major sports organizations use to manage, search and share their media, from the second it's captured to the moment it reaches everyone's screen. A photographer uploads thousands of shots after the final whistle. A live feed has to be logged and clipped into highlights while the game is still being played. The right assets have to reach 10,000+ athletes, partners and newsrooms worldwide, automatically. At 145M+ minutes of video ingested every month and 15+ petabytes stored, much of the architecture needed at that scale simply hasn't been built before. We're hiring an Engineering Manager to lead one of our product engineering teams. You'll report to the Head of Engineering and sit on the engineering leadership team. This is a technical role. You'll need a deep understanding of how our systems work to prioritize well and propose the right technical solutions. Shipping code isn't your main priority, though. Your main priorities are building the environment that lets your team ship faster, the quality of its technical decisions, the people you grow, and the problems you solve before they become incidents. Understanding how everything works is a must. Shipping code is extra. 🔥 WHY THIS IS INTERESTING This is a rare chance to work where engineering meets sports. You'll help build a unique, state-of-the-art product whose engineering challenges come from data volume and latency. Content has to be ingested, processed, searched and distributed at petabyte scale, often while the match is still being played. When the whistle blows, the platform has to be fast, and it has to hold. 🧠 WHAT YOU'LL OWN People - Manage and grow your team: regular one-on-ones, clear expectations, direct feedback, growth plans that mean something. - Handle performance head-on. Recognize what's great, address what isn't early and in writing, and see it through when it doesn't improve. - Hire with our talent acquisition team: define the profiles your team needs, run interviews, and onboard new engineers so they ship in their first weeks. Technical direction - Own the quality of your team's technical decisions: review and challenge designs, requests for comments (RFCs) and estimates. - Drive foundational work from problem framing to production, and balance it against client commitments. - Own your team's reliability: incidents, debug complex issues, postmortems, on-call health, and technical debt that gets paid down, not just listed. Product and speed - Run your team's delivery with your product manager as one small team that shares context instead of handing it off. - Make your team faster, every quarter. Take a feature that took twelve weeks and work out how it could have taken one: cut waste, automate what can be automated, and improve your processes. - Define what can be delegated to AI and what needs thorough design and review, and set the guardrails that keep that line clear. - Push back when a product decision doesn't hold up technically, and propose what would. - Work with clients' technical teams on integrations and enterprise workflows when it matters. - Be ready to get your hands dirty and go the extra mile. Sometimes it's all hands on deck, and that means you chip in too (and ship in). Beyond your team - Prioritize topics that go beyond engineering, and work with stakeholders from other teams (product, sales, customer success, support) to move them forward. - Contribute to engineering leadership: how we plan, how we run incidents, how we make decisions. 🛠 THE STACK AND HOW WE WORK Golang for services. PostgreSQL, Kafka, Temporal for workflows, OpenSearch, Kubernetes, all on AWS. We use AI heavily (but wisely), in the product and in how we work as engineers. Small cross-functional teams