[Hiring] AI Product Manager @Verve

Role Description

If you’re excited by finding the right problems to solve — and getting people moving to solve them — this is it.

As an AI Product Manager in our R&D Lab, you’ll sit at the intersection of users, product, technology and the wider business.

• Identify opportunities for new and improved Vero tools and processes
• Deeply understand problems from the user and business perspective, not just the technical one
• Translate user needs and business problems into clear product requirements and priorities
• Own projects from initial idea through experimentation, development, testing and implementation
• Work closely with technical developers, R&D colleagues and internal stakeholders to bring solutions to life
• Define project priorities, milestones, responsibilities and deadlines
• Coordinate fast, lightweight experiments and prototype testing
• Gather feedback from users and stakeholders and turn it into clear product improvements
• Help determine which ideas should progress, change direction or stop
• Manage competing requirements and keep teams aligned around what matters most
• Identify dependencies, blockers and risks early and help teams resolve them
• Drive successful prototypes towards implementation and adoption
• Communicate progress, decisions and technical concepts clearly across different audiences
• Ensure the solutions we build are practical, scalable and genuinely useful

Qualifications

• Strong product and/or project management experience, ideally in a technology or AI-enabled environment
• Experience managing projects end-to-end and keeping multidisciplinary teams moving towards delivery
• Strong user-centred problem solving — you want to understand the problem before jumping to the solution
• Ability to translate complex or ambiguous problems into clear priorities and actions
• Experience collaborating across product, development, marketing and other multidisciplinary teams
• Strong stakeholder-management skills and confidence working with people with different priorities and technical backgrounds
• Working knowledge of AI concepts and infrastructure such as LLMs, APIs, prompt engineering and RAG
• Enough technical fluency to have productive conversations with developers, ask good questions and understand technical trade-offs
• A clear, confident communication style — able to explain complexity simply and align teams around decisions
• Strong organisation and prioritisation skills
• Comfortable experimenting, gathering feedback and changing direction when the evidence suggests you should
• A growth mindset — you’re comfortable with ambiguity, take initiative without waiting for detailed direction, and thrive in fast-moving, entrepreneurial environments

Bonus Points For

• Experience delivering AI or technology products
• Experience using AI to improve business processes or ways of working
• Experience running early-stage experiments or rapid prototypes
• Experience with low/no-code prototyping tools such as Lovable
• Some hands-on coding or technical development experience
• Experience in the market research or insight sector

Benefits

• Exposure to cutting-edge AI tools and thinking — practical, not theoretical
• The opportunity to shape products at the intersection of AI, insight and real-world decision-making
• Working closely with technical, product, consultancy and business teams
• A fast-paced, agile and empowering environment
• Autonomy to test, learn, prioritise and influence what gets built
• Collaboration with an ambitious global team solving real-world problems