Product Manager

About QuantSpark

We're a (roughly) 50-person analytics and AI consultancy in London - small enough that the work you do is visible to the whole business, and ambitious enough that what we take on is some of the most interesting work in our field, applying data science, machine learning and applied AI to problems that move the needle for the organisations we work with.

We work across financial services, manufacturing, retail and the public sector, on everything from FTSE 100 transformation programmes to long-running work on tricky societal problems.

We deliver that through four capabilities:

• AiRE (AI Rollout Engine): embedding AI tools into how a business actually runs
• QuantSpark Labs: short, sharp engagements that prove or kill an idea fast, before anyone commits serious budget to it
• QuantSpark Transform: consulting-led change to how a business makes decisions, using data, AI and software as the lever
• QuantSpark Forge: enterprise data and AI solutions, built and embedded to solve problems that come up again and again

The role

AI is a vital part of how we work here - we're less interested in whether you've used it, and more interested in what you've done with it, so we'll be curious to hear how it shows up in your own day to day.

You'll move across a portfolio of client engagements spanning our four capabilities, some short and exploratory, some longer and more complex. If you've got consulting experience, or you've owned external client relationship before, you'll feel at home fast. You'll own the roadmap, run discovery, manage senior client relationships, and prototype directly using AI tools to validate ideas before we commit engineering time to them.

We're looking for someone who can run delivery with real autonomy today, who will hold a project team together day to day.

What you'll do

• Own the client relationship. Manage expectations, communicate progress, build trust with senior stakeholders, and hold your ground when it gets commercially tense.
• Shape the product. Define vision, translate strategy into a prioritised roadmap, and make the trade-off calls that come with it.
• Run agile delivery. Lead ceremonies, manage the backlog, write acceptance criteria, keep the team focused on what actually matters.
• Lead discovery. Design and run stakeholder interviews and workshops that get to the real problem, not just the first one mentioned.
• Prototype, don't just spec. Use AI tools to build functional prototypes and test assumptions before engineering resource gets committed.
• Do the business analysis. Turn messy requirements into clear specs, and push back on both clients and engineers when the wrong problem is being solved.
• Keep multiple workstreams moving. Coordinate cross-functional delivery, on time, within scope, without dropping anything.
• Land the change. Lead training and adoption work so clients actually get value from what we've built, not just a product that sits unused.

What you'll need

• Real external client ownership. External client account relationships, with commercial risk attached
• Confident, clear communication. You can hold a room of senior stakeholders and communicate clearly with gravitas
• A track record with AI tools. If you've prototyped something in Claude Code or Cursor to unblock a decision or bypass an engineering queue, tell us about that!
• Consulting or client-facing experience. You'll thrive here if you've worked in a consulting environment, or you've owned client-facing work elsewhere.
• Comfort with pace and autonomy. You've thrived somewhere fast-moving, whether that's a smaller business, a consultancy of any size, or a high-growth environment
• Commercial acumen. You understand how product calls connect to business outcomes

Useful, but not required

• Working knowledge of project tools like Jira, Monday or Confluence
• Comfort with SQL, or exposure to analytics tooling such as Google Analytics, Hotjar or Mixpanel-style platforms
• A product or project management qualification
• Experience with structured change management or adoption frameworks

What you can expect from us

• Real ownership, fast. You'll be trusted with complex client work from day one
• Growth that compounds. £6,000 a year for personal development, ringfenced learning time, and managers whose job includes helping you progress. Last year our team completed more than 30 training programmes and qualifications, from NVIDIA generative AI courses to Master's degrees in Data Science
• A stake in what you build. Our EMI share scheme is open to everyone in the business, regardless of seniority
• A small team that means it. Hybrid, grown-up, human. We hire for craft, curiosity and candour, and we protect the flexibility, work-from-abroad, flexible hours, full Vitality cover, real mental health support, that lets people do good work and still have a life outside it

Benefits

• Bonus scheme combining company profit share and personal performance (up to 10% of salary)
• EMI share options for everyone, regardless of seniority
• £6,000 annual training and conference budget
• Up to 12% matched pension
• Comprehensive private healthcare through Vitality
• 25 days holiday plus 8 bank holidays, with the option to buy or sell up to 5 additional days
• Work from anywhere in the world for up to 1 month a year
• Enhanced maternity, paternity and shared parental leave
• Free annual Headspace subscription
• Cycle to work scheme
• Modern Blackfriars office (Southwark), with regular team socials, monthly QuantSpark Fridays and employee-led clubs
• Retail, travel, technology and fitness discounts via Vitality
• Regular tech talks, knowledge-sharing sessions and dedicated innovation time

Equal opportunities

We strongly believe that diversity of people and ideas is essential for the wellbeing and effectiveness of our team, and we are committed to creating a company where diversity in culture, experience, and background is truly valued. Diverse and inclusive teams bring different perspectives and ideas that help better serve our clients and help us all develop. QuantSpark is an equal opportunities employer and makes every effort to ensure that all potential employees are treated fairly and equally, regardless of their sex, sexual orientation, marital status, race, colour, nationality, ethnic or national origin, religion, age, or disability.