Senior Engineering Manager
$180k - $240kSCAN
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
- 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.
- 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
- 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.
- You can explain a workflow you redesigned so that a machine does the boring 80%.
- You have a view on where agentic systems help and where a human must stay in the loop, especially in regulated, PHI-adjacent work.
- Assessment: A practical exercise where you use AI tools live or in a take-home.
- You don't quit on hard problems. Fail fast, dust off, go again.
- You celebrate wins, then seek the next opportunity.
- You see it, you fix it. No task is beneath you, at any level.
- Talent recognizes talent. You actively bring quality hires into the business.
- You trust your colleagues to deliver.
- You open-source your knowledge. You're never a single point of failure.
- Strong opinions, weakly held. You welcome challenge and feedback.
- You get to the point: direct challenge plus an alternative solution.
- You ask "why". Before calling something bad, understand why it exists.
- You proactively seek feedback, whatever your level.
- You invest in understanding our business: teams, customers, processes.
- You invest in your own growth and are willing to unlearn.
- Introductory call/interview with our Senior Talent Partner. The call is via telephone and lasts around 30 minutes.
- Should it feel like there is an initial fit for all, we will invite you to a video call with the hiring manager for around 45 minutes. This is a more structured interview that will deep-dive into the role and technical needs.
- 'Scan Standard' interview, where our panel screens for values alignment and the success factors that matter at Scan.com. You will also be assessed on your AI fluency at the stage and depth relevant to your role (see AI Requirements above).
- Meet the founders and/or other team members. Again, length varies depending on how many interviewers, and whether in person or via video call.
- Offer!
- Salary range of $180,000 - $240,000
- Flexible remote or hybrid work options
- Dedicated personal development budget
- Medical, vision, and dental coverage
- 28+ days of paid time off across PTO and wellbeing days, so you can show up at your best
- Paid parental leave
- 401k retirement plan
- All the equipment you need to do your best work
- Inclusive, people-first policies designed by our team, for our team
Vacancy posted 2 days ago
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