Senior Engineering Manager

We're 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 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 '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 backend or full-stack language, can lead a system design discussion at a senior level, and have not been out of the code for more than a year

Experience in a scaling healthcare technology company is a strong plus. Familiarity with the regulatory environment, interoperability constraints, and the operational complexity of healthcare delivery meaningfully shortens the ramp

Strong cross-functional instincts: you have partnered effectively with Product and Operations, understand how to negotiate scope without burning relationships, and can represent technical constraints to a non-technical audience without losing fidelity

A track record of growing engineers. ICs on your previous teams have been promoted, expanded their scope, and credited you with material development in their careers

High ownership orientation: you do not wait to be asked, you do not manage up problems without a proposed path forward, and you treat the business outcomes of your team's work as personally yours

AI REQUIREMENTS

At Scan.com , AI isn't a side project; it's how we work. We expect everyone to use AI to think faster, remove drudgery, and multiply their output. What we care about is judgment: knowing when AI makes you sharper, when it doesn't, and how to use it responsibly around patient data. We'll assess this in the way that matters for this role, using the tier below. You don't need to be an engineer. You need to be someone who reaches for the best tool and gets more done as a result.

Tier 1 — For this role, the expectation is that you are an AI-Native. You build with AI directly, shipping, automating, or prototyping real work with LLMs and agents, and have clear judgment on where humans must stay in the loop. (this is typically aligned to engineering, data, product, ops automation, RevOps)

You build with AI, not just alongside it. You've shipped, automated, or prototyped something real using LLMs, agents, or AI tooling.

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