Product Manager (Squad Lead)

If you want to lead a squad building the AI that runs the world's biggest infrastructure projects, join nPlan. Shape how the world's biggest infrastructure gets built — HS2, Heathrow, Sizewell C and more, where the decisions your product informs are measured in years and billions. Build on world-class AI — the most accurate construction risk forecasting on the market, from a MacRobert Prize–finalist engineering and research team.

The role — read this part carefully. We don't run product management the way most companies do. AI has collapsed the cost of building software, so we've rebuilt how we work around a simple idea: when execution is cheap, judgment is the scarce resource. We organise into squads of 2–3 people, and everyone in a squad is a contributor. There is no "write the spec and wait," no design‑and‑handover. As a Product Manager at nPlan, you lead one or more of these squads. You're accountable for planning your squad's quarter: you own the mission, reconcile priorities when unplanned work lands, and have genuine authority to make trade‑offs — including saying "not this quarter." And you build. You'll prototype with AI tools, direct agents, review and edit generated code, and take ideas to working tests in days, not weeks.

What you'll do:

• Own your squads' quarter: plan it, reconcile it against unplanned work and support demands, and deliver it.
• Make build/kill decisions on evidence, and know what value a piece of work will create — and how you'll measure it — before you build it.
• Build, not just brief: write clear specs, prompt agents effectively, and review and edit generated code and output rather than writing from scratch or handing over.
• Keep idea‑to‑test in days by choosing the cheapest path to a valid test.
• Design and ship AI agents: decide what an agent should do, what it must never do, and where the human stays in the loop.
• Run evals — this is central to what we do: define what good looks like before you build, then prove it with structured evaluations — representative datasets, scoring rubrics, and success metrics covering quality, cost, and reliability.
• Help people decide under uncertainty: our products exist to help people act when the future isn't certain.
• Get close to customers: run user and buyer research, sit in on client and sales meetings, and treat real customer feedback as your most valuable input.
• Lead contributors, not a process: lead your squad to decisions and delivery with no handovers, coordinate dependencies with other squads, and spread what your squad learns through our guilds.

What we're looking for:

• Two-plus years owning a B2B or enterprise AI or SaaS product — accountable for a product area, not tickets — with shipped, adopted features that real clients depend on.
• You already build with AI, daily: prototypes, analysis, working code you review and edit rather than write from scratch.
• You can go from idea to a working test without an engineer as intermediary.
• You’ve built with LLMs in earnest — enough to reason about model choice, prompting, context and retrieval, and tool use, and to know that an eval suite is what separates a good agent from a lucky demo.
• You can take an ambiguous problem, get to the heart of what customers actually need, and make the right calls — because you understand the trade‑offs, not because you followed a framework.
• You’ve killed things. You can point to experiments you ran, what they told you, and the roadmap items that died as a result.
• You’re fluent with data: you use it to find the problem worth solving and to know whether what you shipped actually worked — including designing structured evaluations, not just reading dashboards.
• You communicate sharply: you can make a complex trade‑off legible to an engineer, a customer, and a member of the leadership team in the same afternoon.

Nice to have:

• Experience with a product built on data science or machine learning, and comfort talking about forecasting, uncertainty, and probabilities.
• Experience selling or shipping to senior operational or finance buyers (the people accountable for large, complex programmes of work).
• Some understanding of the construction industry, planning, and/or risk.
• A formal technical background (development, engineering, or data).

What working at nPlan will be like:

• We are still a relatively small team, so there is plenty of opportunity for a high degree of ownership and growth over different areas of the product, and you will be directly exposed to all areas of the business.
• Meaningful equity — you're taking on real ownership, and we want you to share in what you help build.
• Generous paid holiday, because time with the people and things you care about matters.
• Flexible working hours and a flexible remote setup — into the Shoreditch office just 1–2 times per month (or as often as you'd like), plus quarterly company get‑togethers.
• Regular lunches, socials and opportunities to connect as a team.
• A Learning & Development budget, strong Health & Wellbeing support, and generous family leave.
• Your voice will always be heard. What you do or say counts, not who you are or where you're from.

We are working hard to create a workplace that is inclusive to everyone, no matter their background, or where they are in life. We believe that only a truly diverse place can create great products that serve a wide audience and improve the world. We believe in equality of opportunities and that's why we make sure that these ideas are reflected in our values, and that we really apply these in all aspects of our company culture.

If you have a need for any adjustments during our interview process, let us know and we will do our best to accommodate them.

Hiring process:

• Intro call (Product team member) (15 min)
• Skill set interview (Product Lead) (30 min)
• Practical exercise: prototype something with AI tools and show us how you'd eval it (Product Lead & squad member) (60 min)
• Values Alignment call (60 min)
• On‑site (half a day, can be remote)

If this sounds like you, we'd love to hear from you!