
Man Group · New York City
About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, D...
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
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
code review, unit testing, refactoring and related approaches
engineers at all levels to engage with these tools
Advantageous Skills
Personal Attributes
Engineering or Physics, or equivalent worked experience
space
priorities
senior business stakeholders
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 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
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.
The Product team builds full-stack features end-to-end. From designing our data models to implementing the subtle interaction behaviors that differentiate good software from great software. We work closely with UI designers and are supported by our infrastructure team. We aim to delight users with both large new features and smaller, daily product enhancements—thanks to our continuous deployment architecture. We want to create a superlative user experience, down to the smallest details. This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve * You will work full-stack to develop new features used by millions of Asana users * Participate in every step of the product development process with an open and curious team * Develop clean, beautiful code and leave it better than you found it * Experience growth and development by being paired with a mentor who will support and guide you through opportunities to stretch and learn About you * 3+ years of experience working within large, well maintained codebases * Experience using Typescript and React * Excellent communication skills for collaborating with other teams * Sound judgment when balancing moving quickly with producing quality code and long-term code maintainability * Passionate about creating a superlative user experience and attentive to details * Appreciate productivity and care deeply about helping teams collaborate more effectively and efficiently, including your own At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $171,000 - $180,500. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: * Mental health, wellness & fitness benefits * Career coaching & support * Inclusive family building benefits * Long-term savings or retirement plans * In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-AS2 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.
STAFF SOFTWARE ENGINEER - AGENT QUALITY P-1215 At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions. The Databricks AI Research organization is pushing the frontier of next-generation enterprise AI. We believe a company's data is its greatest competitive advantage, and we're building the models and agents that unlock it. Our work spans the full stack, from model training to advanced multi-agent systems. As a Staff Software Engineer - Agent Quality, you will be a founding member of a new team focused on evaluating and continuously improving Databricks' AI Agents. You will design and scale the infrastructure, tooling, and developer workflows that let researchers and engineers evaluate agents rigorously — driving a flywheel where evaluation results feed directly back into agent improvement across the full lifecycle, from development and training to production. THE IMPACT YOU WILL HAVE * Stand up the foundational evaluation infrastructure for Genie Agents, enabling rigorous benchmarking, regression detection, and quality measurement across research and product teams. * Build the flywheel that connects evaluation results back into agent improvement — closing the loop between production signals, training, and iterative development. * Shape the long-term technical direction for agent quality infrastructure, with real influence over how Databricks measures and improves its first-party agents and agent development platform. * Help shape the long-term technical direction for agent quality infrastructure as Databricks expands its first-party agents and agent development platform. WHAT WE LOOK FOR * 6+ years industry experience building software systems * Strong Python programming skills, with experience building production or research infrastructure * Experience building or operating distributed systems, data pipelines, or large-scale infrastructure with a focus on reliability, correctness, and operational maturity * Ability to design pragmatic but rigorous systems that produce trustworthy, reproducible signals for complex applications * Comfort working across ambiguous research and product boundaries, and partnering with both researchers and engineers to turn ideas into robust internal platforms * A high bar for technical quality, strong ownership, and the ability to influence roadmap and execution across multiple teams NICE TO HAVE * Experience with devtools, CI/CD platforms, testing frameworks, observability tooling, or benchmarking infrastructure * Familiarity with how LLM or agent quality is measured — whether through evals, experimentation platforms, or production monitoring Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $190,000—$270,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
P-1607 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks. The impact you'll have: * Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency * Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth * Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences * Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities * Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers * Define and drive the strategy for building end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant. What we look for: * 10+ years of experience with HTML, CSS, and JavaScript * Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback. * You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app * High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption. * Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives. * Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember) * 10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go) * Proven experience building and shipping end-to-end generative AI products, ideally with a significant UI/UX component * Proven experience building and shipping end-to-end generative AI products * Deep familiarity with LLMs and generative AI, including hands-on experience with techniques like retrieval-augmented generation (RAG), prompt design, evaluation, and monitoring AI quality and safety in production. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $190,900—$253,750 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.