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- Tasks: Lead the vision and development of AI-enabled damage assessment technologies.
- Company: Join a global organisation at the forefront of technology and transformation.
- Benefits: Up to £90k salary, completion bonus, car allowance, and flexible working.
- Other info: Opportunity for international travel and collaboration across global teams.
- Why this job: Make a real impact by shaping innovative solutions in a dynamic environment.
- Qualifications: 5+ years in product management with strong digital product knowledge.
The predicted salary is between 90000 - 90000 £ per year.
Cedar is supporting the search for a Global Product Manager - Damage Accuracy, who will lead the vision, development, and adoption of next-generation AI-enabled damage assessment capabilities within a global organisation. This role is central to establishing the foundations of these technologies, including evaluating and shaping multiple possible initiation pathways such as internal development, partnerships, pilots, vendor collaborations, or hybrid approaches. The Product Manager will ensure the organisation identifies the right strategic approach to kickstart the product, deliver early value, and build a scalable solution.
Damage accuracy requires a complex solution, expected to include:
- A customer-facing mobile capability for capturing images of vehicle damage, guiding users through image capture and supporting a configurable journey (pre/post booking depending on market needs)
- An AI-powered image analysis tool to assess and classify damage
- A back-office capability to enable manual image review and insurer data capture
Each component will involve distinct stakeholder groups, requiring careful prioritisation and alignment. The customer-facing experience is seen as a key differentiator and must be delivered to a best-in-class standard.
Beyond the initial phase, the Global Product Manager will own the end-to-end lifecycle of damage accuracy technologies: defining vision, strategy, roadmap, ensuring quality and regulatory compliance, and driving global rollout across North America, Europe, and other regions. This is a hands-on product role requiring strong experience across product development, customer experience, commercial thinking, and close collaboration with data science, engineering, digital, and operational teams.
Key Responsibilities
- Product Vision & Initiation
- Define the vision for damage accuracy capabilities, assessing multiple initiation routes (build, partner, acquire, pilot-first)
- Develop a scalable global product template, adaptable depending on the chosen approach
- Analyse customer journeys, processes, competitor trends, and emerging AI technologies
- Lead early discovery work evaluating feasibility, cost, risk, and speed across options
- Product Definition & Roadmap
- Translate discovery into product requirements, user stories, and specifications
- Own a multi-scenario roadmap including pilots, PoCs, vendor evaluation, and development
- Prioritise initiatives based on value, feasibility, and strategic alignment
- User Experience and Customer Journey
- Partner with customer experience teams to deliver a world-class UI and configurable journey suitable for multiple markets
- AI Product Delivery & Continuous Improvement
- Collaborate with data scientists, ML engineers, and partners to evaluate AI/ML approaches
- Lead prototype testing, pilots, and early trials
- Define KPIs such as model accuracy, operational uplift, and user feedback
- Monitor pilot performance and refine strategy accordingly
- Stay current with AI advancements, regulatory changes, and competitive landscape
- Stakeholder Management & Global Alignment
- Align product strategy with business priorities and opportunities
- Manage stakeholder expectations across vision, roadmap, and delivery
- Lead business case development and investment proposals
- Build strong relationships across global business units
- Ensure consistent and transparent communication
- Leadership & Ways of Working
- Lead cross-functional teams including engineering, data, DevSecOps, and third parties
- Promote a collaborative, high-performance culture aligned to customer and business outcomes
Skills & Experience
- Bachelor's degree
- 5+ years' experience in product management, programme management, or software delivery
- Strong understanding of digital products, UX, and customer experience
- Proven track record of delivering and scaling products
- Excellent communication and stakeholder management skills
- Ability to operate strategically and execute tactically
- Experience working in agile environments
- Strong leadership capability across cross-functional teams
- Experience in automotive, insurance, or related industries is advantageous
Location
This is a global role with a primary base in Surrey (UK), with flexibility for international candidates. Regular travel across Europe is expected, with potential travel to North America and APAC.
Global Product Manager in London employer: Cedar
Contact Detail:
Cedar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global Product Manager in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Understand their vision and how your skills can contribute to their goals. Tailor your responses to show you're the perfect fit for their team.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. This will help you articulate your thoughts clearly and boost your confidence when it’s time to shine.
✨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 are proactive about their job search.
We think you need these skills to ace Global Product Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Global Product Manager role. Highlight your experience in product management, especially in AI and customer experience. We want to see how your skills align with our vision for damage accuracy!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to our mission. We love seeing enthusiasm and a clear understanding of what we do at StudySmarter.
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements! Use metrics and examples to demonstrate how you've successfully delivered and scaled products in the past. We’re all about results here at StudySmarter!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Let’s get started on this journey together!
How to prepare for a job interview at Cedar
✨Know Your Product Inside Out
As a Global Product Manager, you need to demonstrate a deep understanding of damage accuracy technologies. Research the latest AI advancements and how they can be applied to damage assessment. Be ready to discuss your vision for the product and how it aligns with customer needs.
✨Showcase Your Stakeholder Management Skills
This role requires strong stakeholder management, so prepare examples of how you've successfully aligned diverse teams in the past. Think about times when you had to manage expectations or navigate conflicting priorities, and be ready to share those stories.
✨Demonstrate Your Strategic Thinking
The interviewers will want to see your ability to think strategically about product development. Prepare to discuss how you would evaluate different initiation pathways for the product, including building, partnering, or piloting. Show them you can balance long-term vision with short-term execution.
✨Prepare for Technical Questions
Expect questions related to digital products, UX, and AI technologies. Brush up on your technical knowledge and be ready to explain how you would collaborate with data scientists and engineers. Highlight any experience you have in agile environments, as this will be crucial for the role.