Forward Deployed Engineer
Magentic
| Company | Magentic |
| Category | Engineering |
| Location | London |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 2 Apr 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
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.
Equal Opportunities and Accommodations Statement
At Magentic, our mission is to build AI that helps solve some of the world's most complex real world problems. We believe building a diverse workforce will be the key to solving this for our customers.
Magentic is committed to creating a truly inclusive team and we’re proud to be an equal-opportunity employer. As we grow, we're intentional about building teams with a broad range of backgrounds, experiences and viewpoints, recognising that this leads to better ideas, stronger collaboration and better outcomes for our customers therefore we strongly enco
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