Senior Engineering Manager

About the role

We're Scan.com http://Scan.com. We're building America's national imaging network: the infrastructure that connects patients, providers, and payers to faster, better-value diagnostic imaging. Thousands of patients move through our platform every day, and each is a real person waiting for an answer to a healthcare concern. We exist to get them that answer faster.

We manage the medical imaging pathway end-to-end. Providers order through a single point of entry, and from there, we run the entire medical diagnostic pathway. Managing the full pathway, rather than brokering pieces of it, is what lets us deliver imaging faster, at higher quality, and at a lower cost than the fragmented status quo.

We're looking for a Senior Engineering Manager at an exciting time. We've raised over $200m in funding to date, reached profitability, and are growing 100% year on year.

Millions of people wait too long for a diagnosis. Come help us fix that.

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 scale our impact 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 partner with the product organization to deliver on our ambitious roadmap. We expect roughly 20% of your time to be spent writing code, reviewing architecture, or directly shaping technical decisions. The majority of your time will be spent establishing engineering processes, managing technical breakdown of features, reporting progress to leadership, career development of your reports, and exploring new technologies/vendors.

You will report to our CPO 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