Senior Engineering Manager

About this role

We’re Scan.com http://Scan.com, the digital health scale-up making diagnostics accessible, fast, and transparent. Our technology speeds up diagnoses for timely treatments, improving healthcare outcomes for hundreds of patients each day. We're doing diagnostics differently, with solutions tailored to both patients and providers, all backed by our technology and world-class customer operations team. Our B2C marketplace simplifies booking a scan, making it as straightforward for patients as booking a hotel. Our B2B platforms provide live scheduling at the point of care and harness AI to ease workflows for physicians, attorneys, and providers. We're looking for a Senior Engineering Manager at an exciting time. We've successfully launched multiple platforms and products, raised over $100M in VC funding, reached profitability, and have a growth trajectory of over 100% YoY. WHAT YOU WILL BE GETTING INVOLVED IN We are a small, high-output team building across a complex technical surface: consumer marketplace, provider-facing scheduling tools, interoperability infrastructure, revenue cycle tooling, and AI-augmented workflows. We don't scale headcount to scale output. We scale leverage through AI-native development practices, tight feedback loops, and engineers who own outcomes rather than tickets. As Senior Engineering Manager, you will lead a cross-functional engineering team and remain a hands-on contributor. We expect roughly 30% of your time to be spent writing code, reviewing architecture, or directly shaping technical decisions. This is not a role for someone who wants to move fully into management. It's a role for someone who finds that combination energising. You will report to our CTO and partner closely with Product, Operations, and Data to ship the systems that run our business. You are expected to be genuinely AI-native: not just comfortable with AI tooling, but actively shaping how your team uses it. That means deploying agents, building evaluation frameworks, and coaching engineers to work at a level of throughput that wasn't possible two years ago. As a scale-up business, you can expect your role to develop over time. Here are some of the types of things you could be getting involved in: - Lead and develop a team of engineers across multiple product domains, owning velocity, process, performance, technical growth, and team culture - Remain a consistent technical contributor by writing production code, leading design reviews, and pairing with engineers on complex problems. - Define and enforce engineering standards across code quality, system design, testing discipline, deployment practices, and incident response - Drive the team's AI-native operating model by identifying where AI agents can replace or accelerate engineering workflows, building evaluation frameworks to measure output quality, and coaching engineers to leverage AI tooling as a primary development instrument rather than an occasional aid - Partner with Product to refine roadmaps, push back on scope where necessary, and ensure the team is working on the highest-leverage problems at any given time - Own the architecture of your team's systems by making build vs. buy decisions, managing technical debt deliberately, and ensuring the stack can support the growth trajectory of the business - Contribute to Scan.com http://Scan.com's broader engineering culture through interview loops, cross-team design reviews, engineering all-hands, and the institutional knowledge that makes a small team punch above its weight THE TOP 5 THINGS WE WANT YOU TO ACHIEVE IN YOUR FIRST YEAR - Team command and trust. Within 90 days, your team has a clear understanding of expectations, a functioning operating rhythm, and confidence that you are both technically credible and invested in their growth. Engineers on your team are shipping more and learning faster than before you arrived. - AI-native team operating model in production. You have assessed the team's current AI tooling practices, identified the highest-leverage gaps, and implemented a repeatable framework across agents, evals, and development workflows that measurably increases throughput without degrading quality. - Technical ownership. You have a complete grasp of the systems your team owns: their architecture, observability, failure modes, scalability constraints, and debt profile. You have a prioritized plan for the most critical improvements and have begun executing against it. - Meaningful individual contribution. Your 30% contributor commitment is real and visible. You have shipped production code, driven at least one significant architectural decision, and demonstrated to your team that you can still do the work. - Organizational trust. Product, Operations, and Data treat you as a peer. You have built the credibility to push back on scope, advocate for technical investment, and represent Engineering in cross-functional prioritization with authority. You are the go-to person for sequencing within large initiatives. WHAT YOU MIGHT BRING TO THE TABLE You don't need to tick all the boxes to apply for this role. Whether it's your first role or your fifth, we believe everyone can add value, learn, and grow. However, these might be some of the ways you are currently adding value: - Proven experience managing and growing engineering teams in a startup environment. You have operated with limited resources, changing priorities, and a high bar for individual output, and you have thrived in that context. - Genuine AI-native fluency: you have deployed AI agents in production engineering workflows, you understand evaluation frameworks and can design them for non-trivial tasks, and you have coached teams to use AI as a primary tool rather than a novelty. Candidates who cannot speak concretely to this will not be competitive - Active technical contributor with strong engineering fundamentals. You write production-quality code in at least one modern