At a Glance
- Tasks: Lead the development of an innovative AI-powered insurance platform and shape its future architecture.
- Company: Exciting early-stage Insurtech with strong financial backing and ambitious growth plans.
- Benefits: Competitive salary, potential equity, remote work, and outstanding career progression.
- Other info: Join a dynamic startup environment with genuine influence over product and technology direction.
- Why this job: Be a key technical leader in transforming the insurance industry with cutting-edge AI technology.
- Qualifications: Experience in software engineering, particularly in insurance, with a passion for AI technologies.
The predicted salary is between 60000 - 80000 £ per year.
AI-Powered Specialty Insurance Platform
Location: UK or Eastern Europe (Remote, with occasional team meet-ups)
Salary: to £100,000 / €100,000 depending on location, plus potential equity
The Opportunity
Our client is one of the most exciting early-stage Insurtech businesses in the Specialty insurance market. Having already achieved significant commercial traction and backed by substantial financial investment, they are now entering the next phase of growth. This newly created Engineering Manager role offers the opportunity to become one of the key technical leaders within the business, taking ownership of the next evolution of their market-leading Policy Administration Platform.
The Role
This is a highly hands-on Engineering Manager position combining technical leadership with software engineering excellence. You will take ownership of designing and building the next generation of the company’s AI-enabled Policy Administration System for the Specialty Insurance market.
- Lead the technical design and development of the company’s next-generation Agentic AI platform.
- Remain highly hands-on across software design, architecture and development.
- Build new functionality whilst modernising the existing PAS platform.
- Take ownership of technical decisions, software quality and engineering best practice.
- Work across front-end, back-end and data architecture, collaborating with specialist engineers where appropriate.
- Use modern AI development tools to accelerate software engineering, including prompting, debugging, code generation and workflow optimisation.
- Evaluate emerging AI technologies and identify opportunities to improve both the product and engineering processes.
- Collaborate closely with Product, Operations and the executive leadership team to deliver business objectives.
- Mentor and support engineers as the team expands.
- Help shape the long-term engineering strategy as the company continues to grow.
About You
We’re looking for someone who enjoys building software as much as leading people. You’ll likely be working today as a Software Engineering Manager, Lead Engineer or Technical Lead within an Insurtech or insurance software business and will have retained a strong hands-on technical capability.
- Recent experience developing software within an Insurance Policy Administration System (PAS) environment.
- Strong hands-on software engineering background across both front-end and back-end development.
- Experience designing scalable data architectures and cloud-based applications.
- Previous experience leading or mentoring software engineering teams.
- Comfortable remaining actively involved in coding and software design.
- Experience working with modern cloud technologies and distributed architectures.
- Excellent understanding of software engineering principles, design patterns and scalable system architecture.
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
- Self-motivated and comfortable working within a fast-moving startup environment.
AI Experience
We’re particularly interested in engineers who are already embracing AI as part of software development. This may include experience:
- Using AI coding assistants as part of daily development.
- Building software through effective prompt engineering.
- Debugging and refining AI-generated code.
- Experimenting with Agentic AI frameworks and autonomous workflows.
- Exploring Large Language Models and AI orchestration.
- Identifying opportunities for AI to improve engineering productivity and product capability.
You don’t need to be an AI Expert —but you should have genuine enthusiasm for where AI is taking software engineering and be excited about helping build one of the next generation of AI-native Insurtech platforms.
Why Join?
- Join a rapidly growing Insurtech with significant commercial momentum.
- Strong financial backing and ambitious international growth plans.
- Opportunity to own and build a next-generation AI-enabled insurance platform.
- Genuine influence over product and technology direction.
- Remote-first working with flexibility across the UK or Eastern Europe.
- Competitive salary up to £100,000 / €100,000 depending on location.
- Potential equity participation for the right individual.
- Outstanding long-term career progression as the business scales.
This is a rare opportunity for an ambitious engineering leader who wants to remain deeply technical while helping define how Agentic AI transforms Policy Administration Systems within the Specialty Insurance market. If you’re excited by the prospect of building rather than maintaining, innovating rather than iterating, and shaping the future of insurance technology, we’d love to hear from you.
Engineering Manager - Insurtech (equity options) in England employer: Calibre Candidates
Join a pioneering Insurtech company that is redefining the Specialty insurance market with cutting-edge AI technology. Our remote-first culture promotes flexibility and work-life balance, while offering competitive salaries and potential equity options. With a strong focus on employee growth, you will have the opportunity to shape the future of our innovative platform and advance your career in a dynamic, supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager - Insurtech (equity options) in England
✨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 Calibre Candidates 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 Calibre Candidates.
✨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 Calibre Candidates.
✨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 Calibre Candidates 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 Engineering Manager - Insurtech (equity options) in England
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 Calibre Candidates.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Calibre Candidates 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 Calibre Candidates
✨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 Calibre Candidates 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.
