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- Tasks: Lead the AI/ML strategy for an innovative Risk Exchange platform.
- Company: Dynamic insurance tech company based in the UK, focused on innovation.
- Benefits: Remote work, competitive salary, equity options, and strong work-life balance.
- Why this job: Shape the future of insurance technology with cutting-edge AI/ML solutions.
- Qualifications: 5+ years of product management experience in data-rich environments.
- Other info: Collaborative culture with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
An innovative insurance technology company based in the UK is seeking a Product Manager to lead the AI/ML strategy for its Risk Exchange platform.
Candidates should have at least 5 years of product management experience in data-rich environments, particularly within insurance.
This remote position offers a competitive benefits package, emphasizing work-life balance and collaboration across distributed teams.
Platform AI/ML Product Manager - Remote + Equity employer: Accelerant Re Ltd.
Contact Detail:
Accelerant Re Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform AI/ML Product Manager - Remote + Equity
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance tech space, especially those who are already working with AI/ML. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies that highlight your experience in product management, particularly in data-rich environments. This will help us see how you can lead our AI/ML strategy effectively.
✨Tip Number 3
Be ready for a virtual coffee chat! We love getting to know candidates beyond their CVs. Practise discussing your past projects and how they relate to our Risk Exchange platform – it’s all about making that personal connection.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always on the lookout for passionate individuals who want to make an impact in the insurance tech world.
We think you need these skills to ace Platform AI/ML Product Manager - Remote + Equity
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in product management, especially in data-rich environments like insurance. We want to see how your skills align with our AI/ML strategy!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about AI/ML and how you can contribute to our Risk Exchange platform. Keep it engaging and relevant to the role.
Showcase Your Achievements: Don’t just list your responsibilities; show us what you've achieved in your previous roles. Use metrics and examples to demonstrate your impact in product management.
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!
How to prepare for a job interview at Accelerant Re Ltd.
✨Know Your AI/ML Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning, especially as they relate to insurance. Be ready to discuss how you've applied these concepts in your previous roles and how they can enhance the Risk Exchange platform.
✨Showcase Your Product Management Experience
With at least 5 years of experience required, be prepared to share specific examples of successful product launches or strategies you've implemented. Highlight your ability to work with data-rich environments and how you've navigated challenges in the past.
✨Emphasise Collaboration Skills
Since this role involves working with distributed teams, demonstrate your experience in remote collaboration. Share examples of how you've effectively communicated and coordinated with team members across different locations to achieve common goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI/ML strategy and the future of the Risk Exchange platform. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals and values.
