At a Glance
- Tasks: Join us to shape AI solutions and collaborate with top-tier clients in manufacturing.
- Company: Magentic, a cutting-edge AI company backed by Sequoia Capital.
- 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
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 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 how your experience and ambitions align with the role.
- 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.
Senior Engineer - Testing employer: Magentic
Magentic is an exceptional employer that fosters a dynamic and innovative work culture, where employees are empowered to make significant contributions to the future of AI in supply chain management. With competitive equity, a supportive hybrid work environment in London, and numerous opportunities for personal and professional growth, team members can thrive while collaborating with industry leaders and shaping impactful solutions. The company prioritises employee well-being through regular social events, comprehensive benefits, and a commitment to responsible AI development, making it a truly rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer - Testing
✨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. Plus, it shows you’re genuinely interested in joining the Magentic team.
We think you need these skills to ace Senior Engineer - Testing
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 Senior Engineer - Testing. Highlight your experience with Python and data analysis, and don’t forget to mention any relevant projects that showcase your ability to tackle 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, so make sure your ideas come across clearly and succinctly.
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 its applications in supply chains. Be ready to discuss how you've used AI in past projects and how it can be ethically deployed in real-world scenarios.
✨Data Analysis is Key
Since you'll be dealing with large, messy data sets, practice analysing similar data before the interview. Prepare to showcase your ability to extract insights and present them clearly, as this will be crucial during the take-home exercise.
✨Master the Role-Play
For the role-play interview, think about common problems Magentic might face and how you would approach solving them. Practise sketching out solutions on a whiteboard, as this will help you articulate your thought process effectively.
✨Build Relationships
During the culture interview, focus on demonstrating your ability to build strong relationships with clients and stakeholders. Share examples of how you've collaborated with different teams in the past, as this will show you're a great fit for the Forward-Deployed Engineer role.
