Product Manager, QuantSpark

• If you've got consulting experience, or you've owned external client relationships before, you'll feel at home fast
• External client ownership: You've owned a client relationship (ideally in Consultancy)
• A solid understanding of AI: both in terms of being a builder yourself and understanding AI implementation at enterprise levels
• Comfort running short engagements: You can take a messy problem from first conversation to a working, tested solution inside a matter of weeks
• Confident, clear communication: You can hold a room of senior stakeholders and communicate with gravitas
• Consulting experience: This role is built around consulting-style delivery, so you'll need to have worked in a consulting (or similar) environment
• Comfort with pace and autonomy: You've thrived somewhere fast-moving and you tend to build the process you need rather than wait for someone to hand it to you
• Commercial acumen: You understand how a product decision affects a client's relationship with us

Desirable

• This role will focus on AI transformation work - helping clients adopt and embed AI tools into how they operate. You'll move across a portfolio of client engagements focused on AI adoption and transformation, some short and exploratory, some longer and more complex
• You'll own the roadmap, run discovery, manage senior client relationships, and prototype directly using AI tools to validate ideas. We're looking for someone who can run delivery with autonomy today, who will hold a project team together day to day
• Own client engagements end to end: From discovery through to a working solution
• Run structured discovery: Map the current process, work out what data can be trusted and get to the problem
• Prototype: Build functional rapid prototypes yourself to validate an idea before any engineering time gets committed
• Protect scope without overriding expertise. Push back on scope creep and unrealistic timelines, but design solutions that respect the judgement of the people who know the client's business best, rather than centralising every decision just because an AI system can
• Present recommendations to senior stakeholders
• Partner with engineering: Own delivery, sprint planning and prioritisation, and understand the technical trade-offs well enough to have an informed opinion
• Make sure what gets built gets adopted
• A growth environment with real ownership, and trust to own complex client work where you can grow your skills quickly
• An extremely innovative environment, with exposure to cutting edge AI
• The freedom to bring new ideas and ways of working to a project, backed by a team that values initiative
• Client exposure which develops and hones practical, commercial skills fast