At a Glance
- Tasks: Join us to develop AI solutions that transform supply chains and enhance customer success.
- Company: Magentic, a cutting-edge AI company backed by top investors.
- Benefits: Competitive salary, equity options, hybrid work, and fun team socials.
- Other info: Exciting career growth opportunities in a diverse and inclusive workplace.
- 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 strong data analysis skills.
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—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
- 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
- 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): 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 any protected characteristic.
Engineer or Senior Engineer 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. Join us to be part of a mission-driven company that prioritises ethical AI deployment and values diverse perspectives.
StudySmarter Expert Advice🤫
We think this is how you could land Engineer or Senior Engineer
✨Tip Number 1
Get to know the company inside out! Research Magentic's mission, values, and recent projects. This will help you tailor your conversations during interviews and show that you're genuinely interested in being part of the team.
✨Tip Number 2
Practice your problem-solving skills! Since you'll be tackling real-world issues in the role-play interview, try simulating similar scenarios with friends or colleagues. This will boost your confidence and help you think on your feet.
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider insights and might even lead to referrals, which can make a big difference in landing the job.
✨Tip Number 4
Don't forget to showcase your passion for AI! During interviews, share your experiences and projects related to AI. This will demonstrate your enthusiasm and commitment to the field, making you a standout candidate for Magentic.
We think you need these skills to ace Engineer or Senior Engineer
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We love candidates who are not just skilled but also genuinely excited about the technology and its potential. Share any personal projects or experiences that highlight your interest in AI.
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 don’t forget to mention any relevant projects that showcase your ability to solve complex problems. We want to see how you can contribute to our mission!
Be Clear and Concise:In your written application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate candidates who can communicate effectively with both technical and non-technical audiences, so make sure your application reflects that skill.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about Magentic and what we stand for!
How to prepare for a job interview at Magentic
✨Know Your AI Stuff
Make sure you brush up on your AI knowledge, especially around generative AI and agentic systems. Familiarise yourself with the latest trends and technologies in AI, as this will help you engage in meaningful conversations during the interview.
✨Data Analysis Skills are Key
Since you'll be analysing large, unstructured data sets, practice extracting insights from similar data. Prepare to discuss your approach to data analysis and be ready to showcase any relevant projects or experiences that highlight your skills.
✨Prepare for Role-Play Scenarios
Expect a role-play interview where you'll need to solve a real problem. Think about how you would approach ambiguous requirements and sketch out potential solutions. Practising whiteboarding exercises can help you feel more confident during this part of the interview.
✨Show Your Enthusiasm
Magentic is looking for passionate individuals who thrive in a high-ownership environment. Be sure to express your enthusiasm for AI and your eagerness to learn and grow within the company. Share examples of how you've taken initiative in past roles.
