Location: Hybrid- typically 3 days office
Reports to: Product Director
Overview
Citation Group helps over 120,000 SMEs across the UK, Australia and Canada take care of the non-negotiables of running a business — HR and employment law, health & safety, ISO certification, background screening, cybersecurity, e-learning and more. Our mission is simple: build better businesses to create a better world.
We’re changing how we build products, not just what we build. Small, high-leverage teams — we call them Compass or Tiger teams — pair a product manager with engineers using agentic coding tools and a quality/evals specialist, and ship AI-native products and experiences faster and to a higher bar than the traditional model allows. This is the frontier of Citation’s product organisation: fewer layers, more building, and AI woven into both the products we ship and how we ship them.
As AI Product Manager, you’ll lead one of these teams. This isn’t a roadmap-and-backlog role — you’re a builder. You’ll have used agentic coding tools yourself, built evals to know whether an AI feature is actually good, and shipped AI products into production, not just prototyped them. You’ll take a Compass or Tiger team from problem to live product, working hands-on alongside your engineers rather than translating requirements at a distance.
Why this role? Why now?
- Build genuinely AI-native products. Not bolt-on AI features — agents, intelligent workflows and experiences that anticipate and act on a client’s behalf. You’ll define what good looks like as much as build it, because much of this is new ground for the industry as well as for us.
- Lead from the front, not the roadmap. You’ll run a small, high-leverage team and be closer to the code and the evals than a traditional PM — using agentic tooling daily, shaping what gets built and how, and proving the pod model works (1 product, 2 AI Engineers).
- A defined mandate on a live initiative. You’ll be shipping into one of Citation’s highest-priority AI programmes, with real client impact and real visibility across Product and Engineering leadership.
- Be part of redefining how Product works. Citation is actively reshaping its product operating model around agentic ways of working. You’ll be one of the practitioners proving it out, not a passenger to a change someone else designed.
What you’ll be doing
Own the team and the outcome
- Lead a Compass or Tiger team — a small pod of engineers using agentic coding tools and a quality/evals specialist — from problem definition through to a live, working product.
- Set direction for the team day to day: what gets built, in what order, and why, grounded in client outcomes rather than output volume.
- Work hands-on alongside your engineers, using agentic coding tools yourself to prototype, unblock and move fast.
- Assess the commercial value of what you’re building before and after you build it — sizing the opportunity up front, then tracking adoption, revenue impact and cost to serve once live — so the team’s time goes on what actually moves the needle commercially, not just what’s technically interesting.
Build AI-native products, not SaaS features with AI bolted on
- Design product experiences that anticipate and act on a client’s behalf, rather than simply presenting information for a human to act on.
- Define and build evals so the team knows whether an AI feature is actually working — not just whether it shipped.
- Take AI products through to production, including the unglamorous parts: reliability, cost, latency, guardrails and what happens when the model gets it wrong.
Discover and validate with real clients
- Run discovery directly with clients to understand where an intelligent, proactive product genuinely earns its place versus where it’s AI for its own sake.
- Own the product analytics for your team’s product — usage, adoption, retention, funnel and cost/performance metrics — and use it alongside client feedback and evals results to decide what to build next.
Work across Product and Engineering
- Partner closely with the wider engineering teams on tooling, models and platform capability.
- Bring back what you learn — on agentic ways of working, on evals, on what AI-native product development actually takes — to the wider Product team.
What we’re looking for
- A product builder first. You can write a clear requirements doc when the situation calls for it, but you’re just as comfortable in the codebase, prototyping alongside engineers using agentic coding tools (Claude Code or equivalent) as a regular part of how you work, not as an experiment.
- Real experience shipping AI products to production. Not a pilot that stayed a pilot — a live product, with real clients, that you built and are accountable for.
- Hands-on with evals. You know how to define what “good” means for an AI feature and how to measure it, and you’ve built or used evals frameworks to do so.
- Strong on product analytics. You’re fluent in the numbers — usage, adoption, retention, funnel drop-off, cost and performance metrics for AI features — and you use them, alongside evals results, to decide what the team builds next rather than relying on instinct or anecdote.
- Commercially switched on. You can build a business case, size an opportunity and track it through to delivery — you treat commercial return as your responsibility, not something Finance checks after the fact.
- Comfortable with ambiguity. AI-native product development doesn’t have a settled playbook yet. You’re happy defining the approach as you go rather than waiting for one to be handed to you.
- Strong product fundamentals. Discovery, prioritisation, working with data and clients to decide what matters — the core PM craft still applies, it’s just applied faster and closer to the build.
- B2B SaaS experience preferred, ideally in a multi-brand or multi-business-unit environment.
What’s in it for you
- The chance to build genuinely AI-native products from the ground up, inside one of Citation’s most consequential initiatives.
- A hands-on, builder-focused role at the leading edge of how AI is reshaping product development.
- Visibility across Product and Engineering leadership, with real ownership of what you ship.
- A supportive culture that prizes action, innovation and getting great things done — for our clients and each other.
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