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For Companies At a Glance
- Tasks: Lead the development of cutting-edge AI platforms and shape intelligent automation systems.
- Company: Join a fast-growing AI company backed by top investors and experts from Apple and prestigious universities.
- Benefits: Competitive salary, growth opportunities, and a chance to work with innovative technologies.
- Why this job: Make a real impact on the future of AI and automation in a dynamic environment.
- Qualifications: Strong experience in software platforms, AI products, and leading engineering teams.
- Other info: Be part of a team that’s revolutionising enterprise workflows with intelligent agents.
The predicted salary is between 80000 - 100000 £ per year.
Stax is partnering with a venture-backed (Series A) AI company building advanced virtual agents designed to automate complex operational workflows for enterprise organisations. Following recent investment and strong early traction, the company is entering an exciting phase of growth and expanding its engineering team to support the next generation of its platform. Revenue increased by 400% in Q4 2025, and the company is targeting a further 4x increase in revenue as it continues to scale. The leadership team includes engineers and researchers from organisations such as Apple, Oxford University, and Cambridge University, bringing together deep technical expertise and world-class research backgrounds.
Their platform enables organisations to deploy intelligent agents capable of learning, adapting, and executing real operational processes. At the heart of this vision is a platform that allows these agents to be trained, evaluated, and continuously improved as they interact with real-world workflows. The company is now hiring an AI Engineering Manager (Agentic) to lead the development of this core platform and help define the architecture behind the next generation of intelligent automation systems. This role will report directly to the CTO and lead a team focused on building and scaling the company’s agent platform.
The Opportunity
This is a senior technical leadership role focused on shaping the systems that enable intelligent agents to learn, evolve, and operate reliably in production environments. You will work closely with engineering and product leadership to define the technical direction of the platform while leading a team of experienced engineers responsible for building and scaling it. This is an opportunity to play a key role in defining the architecture behind a rapidly evolving AI platform and to help shape the future of intelligent automation.
Technology Environment
The platform sits at the intersection of AI systems, automation, and scalable platform engineering, typically involving technologies such as:
- Large language model–driven systems
- AI-assisted automation and orchestration
- Intelligent workflow systems
- Data pipelines and evaluation frameworks
- Distributed platform architectures
What We’re Looking For
Core Experience
- Strong experience building complex software platforms or distributed systems
- Experience working with AI-driven or automation-focused products
- Ability to define and deliver technical vision for a platform or product area
- Experience leading or mentoring senior engineering teams
- A strong systems-thinking and platform engineering mindset
Additional Experience
- Experience in high-growth technology environments
- Exposure to enterprise-scale software systems
- Familiarity with automation, workflow platforms, or AI evaluation approaches
Why This Role Matters
This platform sits at the centre of how the company’s technology evolves. Every system built and every workflow automated contributes to improving the intelligence and capability of the platform. Building the right architecture will enable the product to scale efficiently while continuously improving over time. This role offers the opportunity to shape that foundation and have a meaningful impact on the future direction of the technology.
Apply
If you’re excited about shaping the architecture behind next-generation AI platforms and tackling complex technical challenges, we’d love to hear from you. Apply directly or reach out to Stax for a confidential conversation. Due to the high volume of applications we receive, we may not be able to respond to every applicant individually. However, we will endeavour to contact candidates whose experience most closely aligns with the requirements of the role.
AI Engineering Manager employer: Stax - Deep Tech Talent
Contact Detail:
Stax - Deep Tech Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space, especially those who work at companies you admire. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI and automation. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s tech stack and recent projects. Tailor your questions and answers to reflect your understanding of their platform and how you can contribute to its growth.
✨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 being part of our team at Stax.
We think you need these skills to ace AI Engineering Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Engineering Manager role. Highlight your experience in building complex software platforms and leading engineering teams, as these are key to what we're looking for.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and automation, and how your background makes you the perfect fit for our team. Don’t forget to mention any relevant projects or achievements!
Showcase Your Technical Expertise: In your application, be sure to include specific examples of your work with AI-driven products and distributed systems. We want to see how you've tackled complex challenges and contributed to the success of previous projects.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our exciting journey in AI!
How to prepare for a job interview at Stax - Deep Tech Talent
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like large language models and distributed systems. Brush up on your knowledge of AI-driven products and automation techniques, as you’ll likely be asked to discuss how these can be applied to the company’s platform.
✨Showcase Your Leadership Skills
As an AI Engineering Manager, you’ll need to demonstrate your ability to lead and mentor a team. Prepare examples from your past experiences where you successfully guided a team through complex projects or helped them grow technically. This will show that you’re not just a tech whiz but also a great leader.
✨Understand the Company’s Vision
Familiarise yourself with the company’s goals and recent achievements, like the impressive revenue growth. Be ready to discuss how your vision aligns with theirs and how you can contribute to their ambitious plans for scaling the platform and enhancing intelligent automation.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so come prepared with insightful questions about the company’s technology stack, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.