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- Tasks: Lead the engineering of innovative AI products in the commercial insurance sector.
- Company: Dynamic company focused on transforming the insurance industry with AI.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by building cutting-edge AI platforms that solve industry challenges.
- Qualifications: 15+ years in software engineering and strong leadership experience required.
- Other info: Join a fast-paced environment with the chance to scale engineering teams significantly.
The predicted salary is between 72000 - 108000 £ per year.
Base pay range
This range is provided by Movement8. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Director of Product Engineering – Python, AI, ML
London Hybrid (3 days in-office)
To lead the engineering behind brand new AI products within the commercial insurance space.
After joining you will be the integral part in building AI platforms that tackle some of the hardest problems within the insurance industry.
This role is to scale a product engineering organization that delivers transformative AI capabilities to industries crying out for innovation.
Responsibilities
- Architect and contribute code to cutting-edge AI systems
- Establish technical excellence standards and foundational systems
- Drive architectural decisions that position the platform ahead of the market
- Scale engineering across multiple AI product lines
- Build and lead world-class engineering teams
- Partner with product leaders to translate ambitious AI capabilities into real-world impact
- Create engineering culture and processes that enable rapid innovation
- Balance innovation with sustainable growth and platform evolution
Experience & Leadership
- 15+ years in software engineering, 5+ years leading technical teams
- Hands-on coding ability—must contribute as a full-time engineer initially
- Proven track record of shipping complex products from concept to scale
- Experience scaling engineering orgs from 10 to 100+ engineers
- Strong technical depth and business acumen
- Startup experience preferred with scaling from Series A to growth stage
Technical Skills
- Experience with AI/ML systems, document processing, or workflow engines
- Cloud platforms, CI/CD, automated testing
If this sounds like you and you really want to make a difference in establishing a complete engineering team and structure for a company, then let’s arrange a call
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- Technology, Information and Media and Insurance
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Director of Product Engineering employer: Movement8
Contact Detail:
Movement8 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Product Engineering
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who are already working in AI or product engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving Python and AI. This will give potential employers a taste of what you can bring to the table and help you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership experience. Be ready to discuss how you've scaled teams and delivered complex products. We want to see your passion for innovation and how you can drive change!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Director of Product Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Director of Product Engineering role. Highlight your hands-on coding experience and leadership in scaling engineering teams, as these are key to what we’re looking for.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about AI and how your background makes you the perfect fit for this role. Share specific examples of your past successes in leading technical teams and delivering innovative products.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise, especially in Python and AI/ML systems. We want to see your hands-on experience and how you’ve contributed to complex projects in the past.
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 this exciting opportunity to shape the future of AI in the insurance industry.
How to prepare for a job interview at Movement8
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning systems. Be ready to discuss specific projects you've worked on, especially those that involved Python and scaling engineering teams. This will show that you not only understand the technology but also how to apply it in real-world scenarios.
✨Showcase Your Leadership Skills
As a Director of Product Engineering, you'll need to demonstrate your ability to lead and inspire teams. Prepare examples of how you've successfully scaled engineering organisations and fostered a culture of innovation. Highlight your experience in building world-class teams and driving architectural decisions.
✨Be Ready to Code
Since this role requires hands-on coding initially, be prepared for technical assessments or coding challenges. Brush up on your Python skills and be ready to discuss your approach to system design and APIs. Showing that you can still contribute code will set you apart from other candidates.
✨Understand the Business Side
It's crucial to balance technical depth with business acumen. Familiarise yourself with the commercial insurance space and how AI can transform it. Be ready to discuss how your engineering decisions can drive real-world impact and align with business goals, demonstrating that you can bridge the gap between tech and strategy.
