At a Glance
- Tasks: Lead a team to deliver cutting-edge AI systems and drive impactful customer deployments.
- Company: Join OpenAI, a leader in AI research and deployment with a mission for humanity.
- Benefits: Enjoy a hybrid work model, relocation assistance, and opportunities for professional growth.
- Other info: Work in a fast-paced environment with a focus on collaboration and continuous learning.
- Why this job: Make a real impact in the AI field while leading a dynamic and innovative team.
- Qualifications: 8+ years in engineering, with experience managing high-performing teams and delivering technical projects.
The predicted salary is between 80000 - 100000 £ per year.
Location: London, UK
Employment Type: Full time
Location Type: Hybrid
Department: Model Deployment for Business
About the team: OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
About the role: As an FDE manager, you’ll lead FDEs through high-stakes, ambiguous customer deployments and own technical and business value outcomes end to end. You’ll grow a team that can operate under pressure and help OpenAI learn from the field. You’ll partner closely with Product, Research, Sales, and GTM to ensure fieldwork informs roadmap priorities, drives new exploration, and supports safe deployment at scale. Your decisions will influence how OpenAI is trusted by the customers closest to our deployment work. Your success will be measured by how consistently your team ships, how clearly you deliver signal to Research and Product, and how durable your team and delivery model prove to be. This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. This role also will require travel up to 25%.
In this role you will:
- Lead and grow a team of FDE delivering production systems with frontier models.
- Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality.
- Codify what works into tools, playbooks, and roadmap inputs that create leverage for both OpenAI and our wider developer community.
- Notice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practices.
- Use judgement to distinguish what requires action and what does not.
- Set a high bar for FDE performance and support each person’s growth through direct, actionable feedback.
- Define how we staff and support field teams that can scale without added complexity.
You might thrive in this role if you:
- Bring 8+ years of engineering or technical delivery experience, including 2+ years managing high-performing FDE or customer-facing engineers.
- Have led high-pressure technical projects from prototype to production.
- Write and review production-grade code across frontend and backend using Javascript or Python.
- Simplify complex work and make fast, sound decisions under pressure.
- Elevate team performance through clarity, not process.
- Operate with urgency in ambiguous or evolving environments.
- Translate field experience into sharp, actionable feedback for Product and Research.
- Build deep trust with your team by modeling calm, focus, and judgment when it matters most.
About OpenAI: OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
Manager, Forward Deployed Engineering - London employer: Slope
Contact Detail:
Slope Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager, Forward Deployed Engineering - London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those at OpenAI. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for the interview by understanding the role inside out. Know what it means to lead a team of FDEs and how you can bring value to OpenAI's mission.
✨Tip Number 3
Showcase your problem-solving skills during interviews. Share examples of how you've navigated high-pressure situations and delivered results—this is key for a managerial role!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Manager, Forward Deployed Engineering - London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the role. Highlight your experience in managing high-pressure technical projects and how you've led teams to success. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills: Don’t forget to mention your coding experience, especially with Javascript or Python. We love seeing examples of production-grade code you've written or reviewed, so if you have any projects to share, include them!
Demonstrate Your Leadership Style: As a manager, your leadership approach is key. Share specific examples of how you've supported team growth through feedback and clarity. We’re keen to know how you build trust and elevate performance under pressure.
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 shows you're proactive, which we love!
How to prepare for a job interview at Slope
✨Know Your Stuff
Make sure you’re well-versed in both the technical and managerial aspects of the role. Brush up on your knowledge of production systems, engineering principles, and the specific technologies mentioned in the job description, like Javascript and Python. This will help you answer questions confidently and demonstrate your expertise.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading high-performing teams, especially in high-pressure situations. Think about times when you’ve successfully managed projects from prototype to production, and be ready to discuss how you supported your team’s growth through feedback and clarity.
✨Understand the Company Culture
Familiarise yourself with OpenAI’s mission and values. Be ready to discuss how your personal values align with theirs, particularly around safety and human needs in AI. This shows that you’re not just a fit for the role, but also for the company culture.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about the challenges the Forward Deployed Engineering team is currently facing or how they measure success in deployments. This not only demonstrates your enthusiasm but also helps you gauge if the role is right for you.