Senior Full Stack Engineer

Scan.com

We’re 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'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 HOW WE WILL INTERVIEW YOU We keep our interview process short and sweet, and we're a nimble team that can progress at pace. Here are the stages you can expect, but we might switch up the order depending on team availability: * Introductory call with our Senior Talent Partner, approximately 30 minutes by phone. * Video call with a senior software engineer on the team, approximately 45 minutes, structured deep-dive into the role and technical domain. * Assessment stage, which may be a take-home exercise, in-person session, or additional video calls. We will be mindful of your time. * Meet the founders and/or other team members. * Offer! BENEFITS We go beyond the basics with our benefits package. Here's what you can expect from us: * Competitive salary range, plus performance bonus and equity * 401k * Healthcare, Vision, and Dental * All equipment needed to do your role effectively * Flexible and remote/hybrid working options * Personal development budgets * 18 days PTO plus public holidays * 10 paid sick days * Inclusive policies designed by our team, for our team Diversity at SCAN.COM Scan.com is committed to eliminating discrimination and encouraging diversity within our team. We strive to provide equality and fairness for all job applicants and employees, and never discriminate on the basis of gender, marital status, age, race, ethnicity, religion, or physical differences. We are opposed to all forms of unlawful treatment and discrimination. Our ambition is for our team and its Board to be representative of the diversity in society, and for every employee to feel respected and able to bring their best selves to work.

Man Group

About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $228.7 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants here * As at 31 March 2026   About Man Direct Lending Man Direct Lending is a specialist middle-market direct lender, focused on creating value-added financing solutions to private equity sponsors and investors in private credit since 2014. The firm’s approach is highly selective, focusing exclusively on direct lending to the core middle market, structuring loans to non-cyclical businesses in the US operating in recession-resilient sectors, typically with an EBITDA of between US$10 million and US$75 million. As a trusted partner for sponsors, Man Direct Lending has completed financing for over 330 borrowers. The Team The Man Direct Lending technology team is part of Man’s Discretionary Technology department, 20 engineers across London and New York building the platforms that power Man Group’s discretionary investment and client-facing operations. The team works very closely with the front-office investment professionals in New York, as well as the broader Discretionary tech department in the UK. The team is focused on integration and automation of deal pipelines, data flows and report generation, leveraging the best tools available from Man’s technology platform. The technology stack in Man Direct Lending is actively being built out, this is a rare opportunity with a high degree of greenfield work, low levels of legacy maintenance, and plenty of opportunity to actively shape the platform yourself. Generative AI and LLM-powered tooling form a growing and strategically important part of our work. We are one of the most active AI-adopting engineering teams in Man Group, and the Man Direct Lending team is at the forefront of applying these capabilities to private credit workflows. The Role This is an engineer role within the Man Direct Lending technology team in New York, working side-by-side with investment professionals and in collaboration with the wider Discretionary tech department in the UK. You will contribute to building and maintaining production systems across the full stack — data pipelines, analytics platforms, web tools, and AI-powered automation — while developing a close understanding of the investment team’s workflows and helping them embrace new technology.  Essential Skills * A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches * Strong knowledge of Python * Proficient on Linux platforms with knowledge of various scripting languages * Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas * Experience of web-based development and visualisation technology for portraying large and complex data sets and relationships * Experience building with or integrating AI/LLM-based tools — we are active early adopters of AI-assisted development and expect engineers at all levels to engage with these tools  Advantageous Skills * Experience in private credit or direct lending investment * A keen interest and understanding of financial markets and instruments * Relevant mathematical knowledge e.g. statistics, optimisation algorithms * Familiarity with LLM agent frameworks, vector search, or RAG pipelines * Experience with Kubernetes and containerisation * Experience with Airflow for scheduled data pipelines * C#/.NET familiarity — some systems across the wider team are built in .NET  Personal Attributes * Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics, or equivalent worked experience * Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others * Demonstrable passion for technology e.g. personal projects, open-source involvement, or active engagement with the AI tooling space * Intellectually robust with a keenly analytic approach to problem solving * Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities * Strong interpersonal skills; able to establish and maintain a close working relationship with investment professionals and senior business stakeholders * Confident communicator; able to argue a point concisely and deal positively with conflicting views Our Technology The target technology stack is on Linux with the majority of code written in Python, using the full scientific stack like Pandas and scikit-learn. We also have C# integrations with Excel, and several web-based tools using a variety of languages and frameworks like React, Streamlit, FastAPI and Django. We are heavy users of Man’s own high performance proprietary database ArcticDB, alongside traditional RDBMS’. Generative AI forms a core and expanding part of our estate — we actively build and ship LLM-powered agents, document intelligence tools, and vector search applications for our investment teams. All our code is deployed using Kubernetes and modern cluster computing frameworks.  Working Here Man Technology has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. * We open-source some of our technology. See https://github.com/man-group * We regularly talk at leading industry conferences We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. In general, Technology roles are expected to be in the office for 3 days a week. However, the specifics can vary based on the role, team, and individual circumstances, and are ultimately subject to the manager’s discretion. The anticipated based salary range for this position is listed below. Compensation packages would also include benefits and a discretionary bonus. This is the base salary range that the Company believes it will pay for this position at the time of this posting based on the location and requirements of the position as well as the skills, qualifications, and experience of the applicant.  The Firm reserves the right to modify this pay range at any time. US Pay Range $130,000—$150,000 USD Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.

V7

V7 At V7, we’re building AI platforms that help humans do their best work, at incredible scale and speed. Our mission is to turn human knowledge into trustworthy AI, making complex tasks faster, smarter, and more accurate. We’re growing fast, backed by leading investors and AI pioneers (including the minds behind Transformers and Gemini).   THE PRODUCT V7 Go is a platform for building and deploying custom AI agents, made for the document-heavy work finance and insurance teams handle every day. It takes multi-modal data and returns verifiable outputs with transparent logic, so accuracy and compliance come built in. It runs on the latest models too, including GPT, Claude and Gemini. Have a look at what we're building for finance and insurance. Most AI agents still behave like black boxes. They wander off-task, miss the context that matters, and make calls you can't check. Go Agents are different: predictable, transparent, and auditable at every step. * Build custom AI workflows with controlled analysis at every stage. Every output comes with citations and a full audit trail, so the human in the loop can see exactly how it got there. * The Context Graph makes all your data (across workflows, documents and integrations) queryable in one place, giving your agents the context to be properly useful. It's your institutional memory.   THE TEAM YOU'LL BE JOINING AND IMPACT YOU'LL HAVE * You'll join a high-velocity sales and customer success org that has grown 5x in the last 12 months and is scaling fast - our customers consistently expand their usage, with 160%+ NRR within 12 months. * You'll work alongside a tight-knit account management team, taking responsibility for a real book of business from day one - accounts are handed to you because the team is oversubscribed, not to fill a quota. * You'll sit at the intersection of commercial and technical, acting as the bridge between customers and our Solutions Engineers - freeing SEs to focus on building, while you manage adoption and growth. * This is a foundational hire that will shape what the AM function looks like as we scale ARR - with a clear path to a leadership role for the right person.   WHAT YOU'LL BE DOING FROM DAY ONE: * Own a book of business with a clear expansion target - you'll be expected to drive NRR of 140%+ by identifying new use cases, upselling into departments, and keeping customers deeply engaged with the platform. * Run onboarding and enablement with minimal support - you'll get customers live, train end users, and drive adoption across accounts without needing to lean on Solutions Engineers for every step. * Build and present AI agents to customers - demonstrating new workflows, pitching use cases, and showing stakeholders how to get more value from V7 in ways that make sense to their teams. * Partner with AEs and SEs to ensure a smooth post-sale handoff and flag expansion opportunities - you'll be a key voice in shaping how we serve and grow enterprise accounts.   WHO YOU ARE * You're genuinely technical and commercial. You don't need to write production Python, but you can build an AI agent end to end, understand when to use different LLMs, and get hands-on with a platform quickly without much hand-holding. * You've managed customer relationships in a SaaS environment and you know the difference between keeping a customer happy and actually growing an account… You're motivated by expansion, not just retention. * You thrive in environments where the playbook doesn't exist yet or you've come from a startup or a fast-moving scaleup and you don't wait to be told what to do. * You're a strong communicator who can hold a room; whether you're onboarding a 30-person team, presenting a new agent workflow to a VP, or having a commercial negotiation, you show up with clarity and confidence.   V7 champions equality and inclusion because diverse teams build better products. Don't check every box? Apply anyway — we value what makes you unique and will support you through the process, just let our Talent team know how they can help.