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For Companies At a Glance
- Tasks: Lead a team to deliver innovative AI solutions that transform the insurance industry.
- Company: Join hyperexponential, a pioneering tech company revolutionising insurance with AI.
- Benefits: Enjoy competitive salary, equity, generous holiday, and a £5,000 training budget.
- Why this job: Make a real impact in a fast-paced environment while growing your career.
- Qualifications: Experience in leading engineering teams and delivering complex AI products.
- Other info: Be part of a diverse team committed to innovation and personal development.
The predicted salary is between 80000 - 100000 £ per year.
About hyperexponential (hx)
At hyperexponential, we’re building the AI-powered platform that enables the world’s most critical decisions in a £7 trillion industry. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we’re scaling globally - already trusted by nearly 50 of the world’s largest insurers.
About the team
Our Agent teams are building and scaling cutting-edge AI agents that power real customer workflows. You will sit at the heart of translating ambitious product ideas and performance targets into robust, production-ready agent capabilities. This group operates like a highly aligned, elite squad: tight collaboration between Engineering, Product, Design, and Research Engineering; fast feedback loops; and a bias towards experimentation over theory.
As Engineering Manager, you will own the technical delivery of one of our Agent roadmaps, leading AI Engineers to ship features that meet real customer requirements. Your impact will be visible in the capabilities customers rely on day to day.
What you’ll be doing
- Owning end-to-end technical delivery for one Agent team, turning customer requirements into shipped capabilities.
- Designing and institutionalising an explore/exploit operating model for your team.
- Partnering with Product, Design, and Research Engineering to co-design solutions.
- Building and maintaining a DevEx roadmap focused on engineering velocity.
- Coaching and mentoring AI Engineers to take on larger, more complex problems.
- Creating a culture of high trust and high accountability.
What you’ll need to have done
- Led the technical delivery of complex products or systems.
- Built and iterated on a structured experimentation or discovery framework.
- Owned and delivered a DevEx or platform roadmap.
- Managed or technically led a high-performing engineering team.
- Shipped AI/ML powered features or systems at production scale.
- Collaborated closely with cross-functional partners.
You’re unlikely to thrive here if
- You prefer working only with well-defined requirements.
- You see DevEx and engineering velocity as separate from product impact.
- You avoid direct ownership of difficult decisions or trade-offs.
Compensation
At hx, we’re committed to salary transparency. Our approach is to design compensation that’s competitive in the market, fair across teams, and aligned with the impact our people make. Equity: We offer equity across all roles at hx.
Benefits
- £5,000 training and conference budget.
- 25 days of holiday plus 8 bank holidays (33 days total).
- Company pension scheme via Penfold.
- Mental health support and therapy via Spectrum.life.
- Private healthcare insurance through AXA.
- Cycle to Work Scheme.
Additional perks
- Top-spec equipment.
- Regular remote and in-person hackathons, lunch and learns, socials, and game nights.
- Exceptional opportunities for personal development and growth.
Our commitment to Diversity
hxers are at the centre of everything we build. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive.
Please note that background checks will be conducted as part of the hiring process.
Engineering Manager - AI Team (London) employer: hyperexponential
Contact Detail:
hyperexponential Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager - AI Team (London)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at hx or similar companies. A friendly chat can lead to insider info about job openings and even referrals, which can give you a leg up in the hiring process.
✨Tip Number 2
Prepare for interviews by diving deep into hx's products and values. Understand how AI is transforming the insurance industry and be ready to discuss how your skills can contribute to their mission. Show them you’re not just another candidate, but someone who truly gets what they do!
✨Tip Number 3
Practice your problem-solving skills! Since hx thrives on innovation and tackling complex challenges, be prepared to showcase your thought process during technical interviews. Use real-world examples to demonstrate how you've navigated ambiguity and delivered results.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the hx team. Let’s get you on board!
We think you need these skills to ace Engineering Manager - AI Team (London)
Some tips for your application 🫡
Be Authentic: When you're writing your application, let your personality shine through! We want to get to know the real you, so don’t be afraid to share your unique experiences and perspectives.
Tailor Your Application: Make sure to customise your application for the Engineering Manager role. Highlight your relevant experience in AI and engineering management, and show us how you can contribute to our mission at hyperexponential.
Showcase Your Impact: We love seeing tangible results! Share specific examples of how you've led teams or projects that made a difference. Quantify your achievements where possible to really make your application stand out.
Apply Through Our Website: For the best chance of success, apply directly through our website. This way, your application goes straight to us, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at hyperexponential
✨Understand the AI Landscape
Before your interview, dive deep into the current trends in AI, especially as they relate to insurance. Familiarise yourself with how AI is transforming decision-making processes in the industry. This knowledge will not only impress your interviewers but also help you articulate how your experience aligns with their mission.
✨Showcase Your Leadership Style
As an Engineering Manager, your leadership approach is crucial. Be prepared to discuss specific examples of how you've led teams through ambiguity and uncertainty. Highlight your methods for fostering a culture of experimentation and accountability, as this aligns with their values.
✨Prepare for Technical Challenges
Expect technical questions that assess your problem-solving skills and understanding of AI/ML systems. Brush up on your knowledge of CI/CD, testing frameworks, and observability tools. Being able to discuss how you've improved engineering velocity in past roles will be a big plus.
✨Collaborate and Communicate
Since the role involves working closely with Product, Design, and Research teams, prepare to discuss how you've successfully collaborated across disciplines. Share examples of how you've navigated trade-offs between delivery and foundational investments, showcasing your ability to communicate effectively with diverse stakeholders.