Product Engineer

Reposted 19 Days Ago
Be an Early Applicant
London, Greater London, England, GBR
Hybrid
110K-120K Annually
Senior level
Artificial Intelligence • Information Technology • Software
The Role
As a Front-end Engineer, you will develop user-facing features, implement AI interaction patterns, and collaborate with cross-functional teams to enhance product impact.
Summary Generated by Built In

We’re looking for a Front-end Engineer who’s excited to help define how people at the world’s largest companies to 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.

You want to work at the cutting edge of human-computer interaction

We’re pushing the boundaries of AI with next-generation agentic systems that can manage entire procurement workflows. Our mission is to make global manufacturing supply chains robust to an ever-changing world - that’s a $3tn market opportunity.

If that’s not exciting enough - we’re backed by world-class investors including Sequoia Capital, and you’d be working along a super talented team which brings together expertise from OpenAI, Meta, Revolut, NASA and McKinsey (and that’s just the first 11 people!).

What You’ll Do

  • Own the development of new user-facing features

  • Track and implement the latest interaction patterns for AI-driven tools

  • Interact with users to understand their problems and design solutions

  • Make complex AI workflows feel easy and enjoyable for non-technical users

  • Collaborate with a cross-functional team to continually increase the impact of our product

  • Help maintain a robust, scalable design system using React and Tailwind

You Might Be a Great Fit if You

  • Have 6+ years of professional software-engineering experience

  • Are fluent TypeScript/JavaScript (we use React)

  • Strong product and interaction design skills: you care deeply about making things intuitive and enjoyable for users

  • Communicate clearly with both engineers and business stakeholders

  • Thrive in an early-stage, high-ownership environment: prototype today, deploy tomorrow, iterate next week

Bonus Points

  • Experience building products powered by LLMs

  • Familiarity with supply-chain, procurement, or manufacturing domains

  • Comfortable with Python

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 £110,000-£120,000

  • 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.

  1. 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.

  2. Take-home task (45 mins): we'll give you an exercise to demonstrate the key skills for the role.

  3. Paired programming interview (45 mins): we'll give you an exercise to demonstrate the key skills for the role.

  4. In-person interview: 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 will include a culture interview, a founder interview and skills-based interview(s) with the team.

Top Skills

JavaScript
Python
React
Tailwind
Typescript
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The Company
13 Employees
Year Founded: 2024

What We Do

Magentic provides an enterprise-grade AI Agent Platform for the world’s supply chains. Magentic helps global manufacturers hunt down and deliver P&L savings opportunities with AI teammates called “Mages”.

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