Product Engineer, Magentic
£110-120k
+ Equity
3-4 days a week in office
The AI agent platform for supply chain and procurement
Open for applications
The AI agent platform for supply chain and procurement
1-20 employees
Open for applications
£110-120k
+ Equity
3-4 days a week in office
1-20 employees
Company mission
To build autonomous teammates for the supply chain and procurement teams that keep the world moving.
Role
Who you are
- Have 6+ years of professional software-engineering experience
- Are fluent TypeScript/JavaScript (we use React) and comfortable in Python
- Have design experience or great intuition about UI/UX
- Can select the right tool for each job, balancing speed and scalability, and can quickly up-skill on new tools when needed
- Can take a loosely defined problem, extract the true requirements, and design and deliver a production-ready solution in days, not weeks
- Communicate clearly with both engineers and business stakeholders
- Thrive in an early-stage, high-ownership environment—prototype today, deploy tomorrow, iterate next week
Desirable
- Experience building products powered by LLMs - however, we consider many great candidates without previous AI experience
- Strong visual and interaction design skills — you care deeply about details, polish, and making things feel "just right”
- Familiarity with supply-chain, procurement, or manufacturing domains
What the job involves
- We’re looking for a Front-end Engineer who’s excited to help define how people at the world’s largest companies work with AI day to day
- At Magentic, you’ll shape the core product experience for enterprise users as they collaborate with AI agents that run real to achieve things that they currently can’t imagine are possible
- Own the development of new user-facing features end-to-end
- Track and implement the latest interaction patterns for AI-driven tools
- Interact with users to understand their problems and design solutions
- Act as part of a design team until we have that function
- Collaborate with a cross-functional team to continually increase the impact of our product
- Help maintain a robust, scalable design system — React, Tailwind
Application process
- 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
- Take-home task (2-3 hours): we'll give you an exercise to demonstrate the key skills for the role
- A) In-person interview (half-day, paid): for the final step, we invite you to come meet the team in-person and work alongside us! 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, some live coding work and a discussion of your work with the team
- B) CEO interview (30 mins): a chance for you to meet Robin, hear about his vision for the company - this may happen at the in-person, dependent on scheduling constraints
Salary benchmarks
Our take
Supply chains act as the unseen motor of the modern world, providing the materials for almost everything in our daily lives. The importance of material procurement within the supply chain is more important than ever before, and teams in this market are at a breaking point, dealing with larger orders and filtering through unstructured information. Magentic remedies this with its AI agent built for the supply chain industry.
Through its AI teammates - Mages - Magentic helps manufacturing procurement teams track down and save money on purchases, removing a long-winded research step for the time-pressed supply chain market. Through a pipeline of research, order error correction, automated messaging and compliance reporting, Magentic removes what is often a manual and arduous step in the procurement cycle.
With 2025 bringing in new funding for Magentic, the company is scaling its operations and saving time and money for global manufacturers.
Steph
Company Specialist at Welcome to the Jungle
Company
Company HQ
Chalk Farm, London, UK
Leadership
Robin Van Aeken
(Co-Founder & CEO)Previously a Team Leader at McKinsey & Company.
Odhran O'Donoghue
(Co-Founder & CTO)Previously a Contract Researcher at Open AI, Research Team Lead at the Francis Crick Institute, Computer Vision Engineer at Valar Labs and was a Machine Learning Researcher at the NASA Frontier Development Lab.
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