--- title: 'Forward Deployed Engineer at Magentic' canonical: 'https://feeny.ai/job/forward-deployed-engineer-magentic-london-9f3eqf2tbmps' type: 'job' last_seen: '2026-09-05' --- # Forward Deployed Engineer at Magentic - **Company:** Magentic - **Location:** London, United Kingdom - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-04-02 - **Last confirmed live:** 2026-09-05 - **Apply:** https://jobs.ashbyhq.com/magentic/fff3e1f3-4403-4294-901c-cce91c06921f ## Job 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 and 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 and SQL - Have 2+ years of professional experience - Are a data expert who 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 - Are an enthusiastic student and user of AI - Thrive in an early-stage, high-ownership environment and learn quickly 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 (4 days in the office/customer site) - Lunches provided in our Kings Cross 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 encourage applications from all backgrounds and cultures to apply. We recognise that some groups remain underrepresented within the industry and are committed to creating an environment that celebrates and supports everyone. Everyone works differently, and we want to ensure our interview process gives you the best chance to show us what you can do. If you require any reasonable adjustments or accommodations, please let us know and we'll work with you to make the process accessible. 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. - 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. - Technical Task (45 mins): this step involves a live coding session with on of our engineers using SQL. - 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. - In-person interview (1.5 hours): Come see the office, meet the team in-person and do a case-study interview with Robin, our CEO and a culture interview. 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. ## About Magentic ## Company Overview - **One-liner**: Magentic provides an enterprise-grade AI agent platform that deploys autonomous "Mage" digital workers into supply chain and procurement teams to capture P&L savings. - **Entity Type**: Private (Seed/Series A funded) - **Headquarters**: New York, New York, United States - **Founded**: 2024 - **Founders**: Robin Van Aeken (Co‑Founder & CEO), Odhran O'Donoghue (Co‑Founder & CTO) ## Core Business - **Primary industry/industries**: Supply Chain & Procurement Technology (AI Agents) - **Target customers**: Global manufacturers, large enterprises with complex procurement and supply chain operations (B2B, Enterprise) - **Mission or purpose statement**: "Supply chains are the hidden engines of our world… we build a technology that doesn’t keep up, it stays ahead." — inspired by the medication shortage crisis. ## Products & Services - **Mage AI Teammates**: Autonomous digital workers that embed into procurement teams. They use existing company software (ERPs, email, files), search data, manage thousands of documents, and execute actions like updating invoices, notifying suppliers, and preparing price negotiations. **Type**: AI Agent Platform (SaaS + embedded digital workers) - **Mage Internship / Full‑time / BAU Models**: Flexible deployment stages — start with an internship to prove savings, move to full‑time qualification, then continuous business‑as‑usual operation across the spend base. - **No‑cure‑no‑pay pricing**: Customers pay based on measurable value delivered, typically within weeks. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: **$5.5M total funding** (Seed/Series A round, August 2025, led by Sequoia Capital) - **Notable Investors/Partners**: Sequoia Capital (lead), plus three other institutional investors. Partners not explicitly named but integrates with major ERP systems (SAP, Oracle, Coupa). - **Growth Signals**: - Headcount: 16 employees (as of mid‑2026), with +6.2% monthly growth. - 11 active job postings (57% monthly increase), indicating rapid scaling. - Case studies show quantifiable savings: 4% on MRO spend at a $40B manufacturer; 25% supplier document error rate reduction at a Fortune 500 company. - Clients include global manufacturers with >$40B revenue. ## Competitive Advantages - **Deep domain focus**: Built specifically for procurement and supply chain workflows, not a generic AI chatbot — mages are trained on company policies, processes, and ERP data. - **Human‑in‑the‑loop safety**: All actions are deterministic, auditable, and require human approval at key decision points; SOC 2, ISO 27001, GDPR compliant. - **Lightning‑fast onboarding**: Integrates with any data store and ERP in days, not months. - **Outcome‑based pricing**: Low risk for customers (no‑cure‑no‑pay) — the company is incentivized to deliver real P&L value. ## Strategic Focus - **Scale the Go‑to‑Market**: Build on early enterprise wins and expand customer base among global manufacturers. - **Platform expansion**: Deepen integration capabilities with more ERPs and supply chain systems, and extend Mages to additional procurement sub‑domains (e.g., supplier risk, sustainability compliance). - **Talent acquisition**: Aggressively hiring across engineering, product, data science, and go‑to‑market roles to support growth. ## Why Work Here - **Culture**: A mission‑driven team (“We started Magentic when the world ran out of medications…”) focused on solving real‑world supply chain fragility. Small, fast‑paced startup (16 people) with a flat structure and high ownership. - **Remote/Hybrid/Office**: Headquarters in New York, with team members in the UK, Spain, and France. Multiple job postings do not specify location; likely remote‑friendly for technical roles (Forward Deployed Engineer, Data Scientist). - **Notable perks / engineering culture**: The tech stack is modern (Python, TypeScript, React, Kubernetes, Snowflake, dbt). Engineering team includes alumni from Celonis, Revolut, McKinsey, Dynamo AI. Employees are given the autonomy to shape the product from the ground up. - **Career growth**: As an early‑stage company backed by Sequoia, employees have significant impact on product and company direction. The rapid headcount and job posting growth suggest strong upward mobility. ## Sources 1. [Magentic Homepage](https://www.magentic.com/) 2. [Magentic Careers Page](https://www.magentic.com/careers) 3. [LinkedIn Company Page](https://www.linkedin.com/company/magentic-inc) 4. [Tracxn Profile](https://tracxn.com/d/companies/magentic/__H-5TxsN4Zmndil6KMoN42LhTMtfg5jXsFSyLg0W9tKE) 5. [Ashby Careers](https://jobs.ashbyhq.com/magentic) (provided but not crawled; verified via LinkedIn) ## Other roles at Magentic - [Senior Frontend Engineer](https://feeny.ai/job/senior-frontend-engineer-magentic-london-53jms39jcrx7) — London, United Kingdom - [GTM Associate](https://feeny.ai/job/gtm-associate-magentic-london-8vf5dk4dn49x) — London, United Kingdom - [Account Executive](https://feeny.ai/job/account-executive-magentic-london-x4gw7kmrah77) — London, United Kingdom - [Back-end Engineer](https://feeny.ai/job/back-end-engineer-magentic-london-4rzqzfdyygzm) — London, United Kingdom - [Founding Growth Marketer](https://feeny.ai/job/founding-growth-marketer-magentic-london-wjr26z5v5ynq) — London, United Kingdom - [Open Application](https://feeny.ai/job/open-application-magentic-london-yzn6ahtkq1br) — London, United Kingdom - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-monday-com-paris-2y8wvht9z97a) — Paris, France - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-monday-com-london-6fbhd14ej1sg) — London, United Kingdom - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-altara-san-francisco-3wakb3c3jxca) — San Francisco, CA - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-arcade-austin-e48rc1w4eya7) — Austin, TX