Forward Deployed Engineer

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

• Monthly organised socials and an additional flexible monthly social budget for team lunches, coffees, dinners, or activities with colleagues

• 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.

1. 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.

2. 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.

3. 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.

4. 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.