Software Engineer (General)

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.

Extend

Extend is building a modern document processing platform, reimagined with LLMs. We're on a mission to transform how the world works with unstructured data. As a Software Engineer at Extend, you’ll be responsible for building our core platform that companies use to configure, test, and deploy document processing. We’re looking to hire exceptional engineers who care about crafting intuitive product experiences, relentlessly focus on the details, and operate with high agency. WHY YOU SHOULD CONSIDER JOINING * We've grown revenue 4x last year to several million ARR, with our growth continuing to accelerate * We have a product loved by users and being used in mission-critical flows at companies like Chime, Flatiron Health, Brex, Square, Zillow, Opendoor, Checkr, and many more * We're building the next generation document processing platform — the market for document processing has expanded 1000x due to LLMs, and existing solutions are all low NPS * We're punching well above our weight, supporting customer and revenue metrics with half the team size of other startups — everyone joining at this stage will have outsized impact * We're tackling novel, unsolved problems at the intersection of LLMs, complex data processing, and human ↔ AI interfaces * We're backed by world class investors, including YC, Homebrew, investors from OpenAI, and more * You'll get a front row seat to how a successful startup is built with plenty of leadership opportunities as we grow quickly We're a lean team, and our customer base is growing too fast for us to keep up. We're looking for talented engineers to join our founding team ahead of our next round and execute on an ambitious roadmap. IMPACT We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time). Here's a few of the complex technical problems we're working on: * How do we enable enterprises to deploy LLM-powered document processing into production with confidence? * How do we handle never before seen edge cases in customer data? * How do we build a self-correcting system that automatically gets better over time? * How do we enable non-technical domain experts to improve models with their expertise & business logic? * How do we help customers make tradeoffs between latency, cost, and performance? * How do we build reliable systems that can process large data streams in real-time? ROLE * Build, and maintain, durable, scalable systems capable of processing 10s of millions of data points per month. * Design and implement the best human ↔ AI interfaces for designing and understanding document processing. We are building a new territory of UX that previously did not exist. It’s up to us to discover and implement new patterns that work for our users. * Have complete ownership over the work you do — as a founding team member, you’ll have the opportunity to truly own large areas of product and engineering and have direct relationship with customers. * Work directly with the CEO, CTO, and other founding members and help build out our team. IDEAL CANDIDATE CREDENTIALS * Strong foundational understanding of computer science principles through coursework, personal projects, internships, or prior work experience * 3+ years of professional software engineering experience (internships and part-time roles count!) * Enthusiasm for building high-quality, user-facing products and interest in working across the stack * Demonstrated ability to learn quickly, take ownership of projects, and work independently when needed * Interest in AI/ML technologies and curiosity about building products powered by LLMs BENEFITS Beyond the below, we care deeply about each of our candidates on a personal level. We take the time to understand your needs to craft a package designed for you: * Insurance - 90% health insurance premium coverage * Relocation - for candidates based outside of NYC * Unlimited PTO policy - we trust everyone like owners, take what you need * Daily lunch & snacks covered (plus dinner if you're in the office late) - you'll never go hungry and you help pick the snacks * Unlimited token / tooling access - no handicaps on your productivity * Learning and development investment - we invest heavily in our team and support your growth Extend is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, citizenship status, marital status, pregnancy, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

Outtake

ABOUT OUTTAKE Outtake exists to empower and facilitate trust for a digital-first world. Today, impersonation, fraud, AI-driven scams, and identity abuse spread faster than any security team can respond to. So we built something different: an agentic AI platform that proactively detects, monitors, and takes down impersonators, automating protection in hours, not weeks.   Built by ex-Palantir, ex-CTO/founders, and ex-Notion engineers, Outtake is designed for clarity, autonomy, and velocity. Our goal is ambitious: become the trust layer of the modern internet. And we intend to do it with a lean, dense, exceptionally talented team.   Outtake is backed by top-tier investors and operators who believe in our mission and our model. With strong financial footing and a long runway, we prioritize creating an environment where people can do the best work of their careers. THE ROLE This is a product engineering role in the strongest sense of the term. You work close to customers. We believe customer proximity is a competitive advantage. Engineers talk directly to customers, join calls, and participate in tight feedback loops. Forward-deployed work is part of the job - not as support, but as the fastest path to product insight. You shape what we build. Engineers here don't wait for fully formed specs. If you see a problem worth solving, you're expected to make the case, design the experiment, and build the v0. Good product judgment is valued as highly as clean execution. You ship across the stack. You'll work wherever the problem is - backend systems processing TBs of internet-scale data, frontend workflows that make complex analysis feel intuitive, agent frameworks that automate what used to take weeks of manual work. Titles matter less than ownership. You operate with clarity and focus. Mondays we align. Fridays we retro. In between, you're trusted to prioritize what matters most - while staying sharp to signal from customers and the market. THE TEAM "The team you build is the company you build." — Vinod Khosla You'll work alongside engineers from Palantir, Notion, Meta, Microsoft, Slack, and Datadog. Several have founded startups. But credentials aren't the point. This team cares deeply about craft, slope, and truth-seeking. People pair on hard problems, challenge each other in code review, and give direct, thoughtful feedback in 1:1s. Mentorship is intentional, not accidental - you'll learn faster here because the bar is high and the coaching is real. We're building Outtake to be a long-term network of builders: people who go on to lead teams, start companies, and back each other over decades. The goal is simple - working here should make you meaningfully better. YOU This role tends to excite people who've built something from scratch and want to do it again - with better tools, sharper teammates, and real distribution. You might be a fit if: * You've shipped products that users actually used - and at least one that failed, and you understand why that mattered * You ramp quickly, thrive in ambiguity, and have a strong bias to action * You care deeply about why something is being built, not just how * You understand what success looks like for the customer and the business, not just the code * You've done some form of forward-deployed or customer-embedded engineering and found it energizing If you need a roadmap handed to you, this won't be a fit. If you want to help write the roadmap, you'll feel at home. Bonus if you've: * Founded something (even if it didn't work) * Worked in forward-deployed or customer-embedded roles * Built with agents, LLMs, or large-scale data systems WHAT SUCCESS LOOKS LIKE What will you have shipped by month 6 that customers are asking about by name? The engineers who thrive here tend to find a problem early - something they heard on a customer call, noticed in the data, or couldn't stop thinking about - and make it theirs. Within a few months, they've built something real: a detection capability that catches what we were missing, a workflow that cuts hours of manual work, a system that makes the next ten features possible. By month 12, you're not waiting for direction. You're the person others come to for a specific problem space. Customers know your work. Teammates trust your judgment. And you've shaped what Outtake builds next. WHY OUTTAKE If you're choosing between us and another AI startup: * Foundation models are infrastructure. We're building what people actually use to stay safe. * The impact is immediate and real - attacks stopped, fraud prevented, threats caught that humans miss. * The company is working: real customers, real revenue, real momentum. * The people are exceptional - not just in pedigree, but in how they think and build. * The network compounds: your teammates become future founders, collaborators, and references. * The upside is meaningful. Equity reflects impact, not title. LIFE AT OUTTAKE * Office: For those in NY, we are an in-person team (5 days a week, with flexibility as needed) working out of a stunning waterfront office in Brooklyn. Collaboration, speed, and clarity matter. * Health: 100% company-paid medical, dental, and vision for employees. * Time Away: Flexible PTO. We trust adults to manage energy, not clock time. * Culture & Team: Annual company retreats and regular in-person events. Outtake is an equal opportunity employer. We are committed to building a diverse, inclusive team.