Magentic

Backed by global technology visionaries like Sequoia Capital, Magentic brings together world-class AI engineering (formers from OpenAI, Meta, and AWS) with procurement expertise (formers from McKinsey & Company and ABInBev). We are looking for brilliant Forward Deployed Engineers to join our team at Magentic. We're pushing the boundaries of AI with next-generation agentic systems that can manage entire workflows. We're focusing on the $3tn market of supply chains and procurement. Our mission is to make global manufacturing supply chains robust to an ever-changing world, and to harness the potential of generative AI through thoughtful deployment, maximising benefits while prioritising ethical use and safety. Forward Deployed Engineers sit at the intersection of product, engineering, and customer success. You will collaborate closely with customer teams to understand their problems and data, enabling our product engineers to build impactful features. You will be instrumental in shaping solutions and recommending new features for enterprise clients, all while learning and growing your AI skills in a truly AI first company at the forefront of agentic systems. What You'll Do You'll have a huge impact on both Magentic's commercial success and our product direction. This is a rare opportunity to help build a rocket ship. As we grow, you could develop into product management or engineering, into a leader in our customer engineering space, even into sales, as you discover your strengths and interests. Build strong relationships with our flagship clients-household names in the enterprise manufacturing space. Analyse large, unstructured data sets-dig around to discover value that our customers are missing and help configure our product to surface that value. Collaborate directly with executives & operators-run white boarding sessions, turn ambiguous requirements into concrete specs, demo our product, and train users. Shape our roadmap-gather insights from customers to determine the highest-priority new features and products. You Might Be a Great Fit if You Are proficient in Python. Have 2+ years of professional experience Are a data whizz - can extract insights from large, messy data sets with ease Can take a loosely defined problem, sketch an architecture, and deliver a production ready solution in weeks, not months. Can communicate clearly with both engineers and business stakeholders. Are keen to travel to spend time with customers on a regular basis.link Are an enthusiastic student and user of AI. Thrive in an early stage, high ownership environment-you learn quickly and by doing. Bonus Points Familiarity with supply chain, procurement, or manufacturing domains. Compensation and Benefits At Magentic, we recognise and reward the talent that drives our success. We offer: Competitive Equity: play a real part in Magentic's upside. A salary of £50,000 £65,000 Hybrid London HQ (3 4 days in the office/customer site) Lunches provided in our Camden office Salary sacrifice pension and nursery schemes Annual team retreat-a fully funded off site to recharge, bond, and build. Our interview Process There are a quite a few components because it's really important that both we and you have all the information to make a great decision at this stage of our journey. We can move quickly through these stages, so let us know if you have any timelines we need to meet. Culture interview (45 mins): this first step is an opportunity for you to hear more about Magentic and the role, and for us to learn more about your how your experience and ambitions align with the role. Role play interview (45 mins): in this step, we present you with a real problem Magentic encounters, and we ask you to design a solution in a whiteboarding exercise. Take home exercise (2 3 hours): analyse a data set similar to one that our clients would provide us, and create a presentation with your findings. In person interview (2 hours): Come see the office, meet the team in person, present your work to the tech and commercial teams and do a case study interview with Robin, our CEO. Responsible AI Statement At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI's capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission. Equal Opportunities and Accommodations Statement Magentic is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010. We actively encourage applications from candidates of all backgrounds and cultures and believe a diverse workforce enhances our ability to deliver innovative solutions. We also ensure that our employment decisions are based solely on individual qualifications, merit, and business needs. Magentic is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process, please indicate this in your application or contact us directly.

A cutting-edge technology company based in Greater London is seeking Forward Deployed Engineers to join their team and lead the development of AI-based solutions for supply chains. In this role, you will enhance client relationships, analyze data sets, and shape product features to drive success. The ideal candidate will have a strong background in Python, at least 2 years of experience, and a passion for AI. This position offers a competitive salary, hybrid working environment, and opportunities for professional growth.

A leading technology firm in the UK seeks a Data Analyst / Engineer to join their Forward Deployed Engineering team. You will partner directly with customers during trials, transforming complex data into insights that drive AI procurement solutions. Ideal candidates will have over 2 years of experience, be fluent in Python and SQL, and have demonstrated the ability to work with messy data effectively. This position comes with a competitive salary of £60-70k and offers a hybrid work model along with excellent benefits.

We're looking for a Data Analyst / Engineer to join Magentic's Forward Deployed Engineering team. You'll be embedded at a critical point - working directly with customers during pilots and onboarding, turning complex, messy data into the insights that make our AI procurement solution sing. This isn't a build-dashboards-on-request role. You'll be working on real problems with real stakes, using modern data tooling - including LLMs - to move fast without sacrificing rigour. You'll be joining a small but exceptional team with backgrounds from Revolut, OpenAI, Meta, NASA and McKinsey. We're backed by Sequoia Capital and chasing a $3tn market opportunity. What You'll Do Partner with Forward Deployed Engineers to design and execute complex analyses during customer pilots and onboarding Turn ambiguous, real-world data into clear, actionable outputs for both technical and commercial audiences Use LLM-based techniques as a native part of your analysis workflow - not as a curiosity, but as a tool Work with data platform tooling built by our data platform team; potential to grow into building platform components yourself Communicate findings clearly to engineers and business stakeholders alike You Might Be a Great Fit if You Have 2+ years of experience in a data analyst, data engineer, or BI engineer role Are fluent in Python and SQL Have hands-on experience integrating LLM-based steps into a data analysis or pipeline workflow Can work with messy, real-world data and still ship something clean and useful Are a strong communicator with commercial understanding - you're comfortable explaining what you found and why it matters Thrive in fast-paced environments where speed and quality both matter Bonus Points Experience with dbt or similar SQL-based transformation tools Familiarity with cloud data storage (Azure Blob Storage, S3, or GCS) Experience building or contributing to data platform infrastructure Familiarity with a data orchestration tool (Dagster, Airflow, Prefect, or similar) Familiarity with supply-chain, procurement, or manufacturing domains. Compensation and Benefits At Magentic, we recognise and reward the talent that drives our success. We offer: Competitive Equity: play a real part in Magentic's upside A salary of £60-70k Enhanced parental leave 25 days holiday exc bank holidays, plus an extra day for our Christmas shutdown In-office lunches provided Salary sacrifice pension and nursery schemes Hybrid London HQ (WFH Thurs and every other Tues, with flex if you have appointments etc) Annual team retreat-a fully-funded off-site to recharge, bond, and build Our Interview Process We can move quickly through these stages, so let us know if you have any timelines we need to meet. Initial call (30 mins): this first step is an opportunity for you to hear more about Magentic and the role, and for us to learn more about how your experience aligns with the role. Paired-programming interview (45 mins): in this step, we'll ask you to present some of your work to us and discuss it. In-person interview: for the final step, we invite you to come meet the team in-person. We find this is the best way for candidates to get a sense of what working at Magentic is like. This day will include a culture interview, founder interview and a presentation task and a discussion of your work with the team. Responsible AI Statement At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI's capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission. Equal Opportunities and Accommodations Statement Magentic is committed to creating a diverse and inclusive workplace and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010. We actively encourage applications from candidates of all backgrounds and cultures and believe a diverse workforce enhances our ability to deliver innovative solutions. We also ensure that our employment decisions are based solely on individual qualifications, merit, and business needs. Magentic is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process, please indicate this in your application or contact us directly.