At a Glance
- Tasks: Join us to develop AI solutions that revolutionise supply chains and procurement.
- Company: Magentic, a cutting-edge AI company backed by top investors.
- Benefits: Competitive salary, equity options, hybrid work, and fun team socials.
- Other info: Opportunity for career growth into product management or engineering roles.
- Why this job: Make a real impact in AI while growing your skills in a dynamic environment.
- Qualifications: Proficient in Python with 2+ years of experience and a passion for data.
The predicted salary is between 50000 - 65000 £ per year.
About the job
Backed by global technology visionaries like Sequoia Capital, Magentic brings together world-class AI engineering with procurement expertise. 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, 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.
- 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.
- 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.
- 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 experience and ambitions.
- 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.
- 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.
- 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.
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.
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.
Engineer senior employer: Magentic
Magentic is an exceptional employer that fosters a dynamic and innovative work culture, where Forward Deployed Engineers can thrive at the intersection of AI technology and customer success. With competitive equity, a supportive hybrid work environment in London, and ample opportunities for personal and professional growth, employees are empowered to shape impactful solutions while enjoying a vibrant team atmosphere filled with regular social events and retreats.
StudySmarter Expert Advice🤫
We think this is how you could land Engineer senior
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those at Magentic. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for the role-play interview by practising problem-solving on the spot. Grab a friend, throw some real-world scenarios at each other, and get comfortable thinking on your feet.
✨Tip Number 3
Show off your data skills! When analysing datasets, focus on how your findings can directly impact the business. Tailor your presentation to highlight value for potential clients.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Engineer senior
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see how you've engaged with AI technologies and how they inspire you. Share any projects or experiences that highlight your passion.
Tailor Your Application:Make sure to customise your application to fit the role of Forward Deployed Engineer. Highlight your experience with Python and data analysis, and connect your skills to the specific challenges we face at Magentic. This shows us you understand what we're all about!
Be Clear and Concise:We appreciate clarity in communication, so keep your application straightforward. Use simple language to explain your experiences and how they relate to the job. Avoid jargon unless it's relevant, and make sure your key points stand out.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end.
How to prepare for a job interview at Magentic
✨Know Your Tech
Make sure you're well-versed in Python and any other relevant technologies. Brush up on your coding skills and be ready to discuss how you've used them in past projects, especially when it comes to analysing large data sets.
✨Understand the Role
Familiarise yourself with the responsibilities of a Forward Deployed Engineer. Think about how your experience aligns with the job description, particularly in terms of collaborating with clients and shaping product features.
✨Prepare for Role-Play
During the role-play interview, you'll need to demonstrate your problem-solving skills. Practice sketching out solutions to ambiguous problems and be ready to explain your thought process clearly to both technical and non-technical stakeholders.
✨Show Your Enthusiasm for AI
Magentic is looking for someone who is passionate about AI. Be prepared to discuss your experiences with AI technologies and how you see their potential in transforming supply chains and procurement. This will show that you're not just qualified, but genuinely excited about the field.
