Product Manager, Squad Lead

🔥 55 minutes ago

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nPlan

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🤖 Artificial Intelligence

🏗️ Construction

☁️ SaaS

🔥 Funding within the last year

💰 $16M Series B - nPlan on 2025-10

Artificial Intelligence • Construction • SaaS

nPlan is an AI-first software company that applies machine learning to project controls and delivery for capital projects. Trained on a proprietary dataset of 750,000 historical schedules representing over $2 trillion of construction spend, nPlan provides forecasting, risk quantification and decision-intelligence tools that integrate with existing schedules to help teams identify and manage risks, improve forecasting, and protect projects from delays and cost overruns. Its product suite includes portfolio and single-project forecasting (Insights Pro/Core/Risk Professional), Schedule Studio for schedule generation and editing, AutoReport, and a Schedule Integrity Checker. nPlan’s customers include owner-operators, general contractors, consultants and PMOs across sectors such as highways, rail, utilities, energy, commercial and public buildings.

📋 Description

• 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. • If you haven't touched an AI coding tool today, something's wrong. • Design and ship AI agents: decide what an agent should do, what it must never do, and where the human stays in the loop. • Shape the context, tools, and guardrails it works with, and own the trade-offs between model choice, prompting, retrieval, and UX. • 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. • An agent that demos well but doesn't improve real outcomes doesn't ship. • Kill things fast when the evidence says so; we measure ourselves in outcomes shipped and experiments correctly killed. • Help people decide under uncertainty: our products exist to help people act when the future isn't certain. • You'll shape how we turn risk and forecasts into something a busy executive can make a confident call on. • 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.

🎯 Requirements

• 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. • The problems are hard, the stakes are real, and the path isn't always clear — you're energised by that, not slowed down by it.

🏖️ Benefits

• 30 days paid vacation • Flexible working hours • Breakfast at work • Regular social & team events