At a Glance
- Tasks: Drive customer success from pilot to long-term contracts in a fast-paced AI startup.
- Company: Join a pioneering AI-native startup transforming clinical trial recruitment.
- Benefits: Competitive salary, flexible working, and opportunities for growth.
- Other info: Dynamic role with travel opportunities and a chance to lead as the function grows.
- Why this job: Make a real impact in healthcare while shaping the future of drug development.
- Qualifications: Experience in startups, solutions engineering, and strong problem-solving skills.
The predicted salary is between 90000 - 130000 £ per year.
We are supporting a fast-growing AI-native start up helping leading research sites automate patient pre-screening, scheduling, engagement and follow-up. The platform addresses one of the biggest bottlenecks in drug development. The company is already live in production across a broad network of research sites and studies, with strong recurring revenue and rapid month-on-month growth. Its mission is to replace manual, fragmented workflows with intelligent automation, making clinical trial recruitment faster, more scalable and more effective. The culture is highly collaborative, performance-led and engineering-minded, with a strong emphasis on ownership, pace and building from scratch. It is a mission-driven environment for someone who wants to have real customer impact and help shape the next stage of growth.
What the job entails:
This is a first-of-its-kind hire for the business and a pivotal role focused on pilot conversion. You will own the journey from paid pilot through to long-term contract, helping customers realise value quickly and ensuring pilots convert into scalable recurring revenue. Roughly half of the role will be customer-facing: onboarding customers, supporting live pilots, troubleshooting issues, presenting ROI and helping close commercial conversations. The other half will be internal: prototyping solutions, improving processes, building playbooks and making the platform more standardised while still supporting customer-specific requirements. You will work closely with engineers, clinicians, researchers and operators, and you should expect regular travel to the US, plus some evening work to accommodate customer time zones. As the function grows, there is clear scope to help shape and ultimately lead it. This is a hands-on role for someone who enjoys solving problems, creating order out of ambiguity and building the operating model for a high-growth startup.
Key requirements / What we look for:
- Previous startup or founding experience strongly preferred
- 2–3 years’ relevant experience, ideally in solutions engineering, presales or similar client-facing work
- Strong technical critical thinking; able to prototype and troubleshoot quickly
- Highly organised, process-oriented and confident with customers
- Interest in life sciences, biomedical or healthcare technology (suggestion: or evidence of relevant customer exposure)
- Willing to work full-time onsite in London and travel to the US quarterly
Salary: GBP 90,000–130,000, with flexibility for exceptional candidates.
Forward Deployed Engineer employer: Generative
As a Machine Learning Researcher at our London-based AI lab, you'll be part of a dynamic and ambitious team dedicated to solving significant scientific challenges through innovative AI solutions. We foster a collaborative and inclusive work culture that values curiosity and low ego, offering flexible hybrid working arrangements and opportunities for professional growth in a supportive environment. Join us to make a tangible impact from day one, as you contribute to cutting-edge research that accelerates the discovery of commercially valuable materials.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Generative or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Generative.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Generative.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Generative that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Forward Deployed Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Generative.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Generative and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Generative
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Generative uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
