Product Manager

Job not on LinkedIn

🕒 October 22

🇬🇧 United Kingdom – Remote

💵 £80k - £95k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

✅ Product Manager

🚫👨‍🎓 No degree required

👻 Ghost score 15%

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• Open for 19 days.

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nPlan

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51 - 200 employees

Founded 2017

🤖 Artificial Intelligence

🏗️ Construction

☁️ SaaS

💰 $16M Series B - nPlan on 2025-10

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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

• Run user and buyer research and participate in client and sales meetings • Understand customer needs and use feedback to guide product decisions • Use PostHog and Userflow to analyze product usage and guide users toward valuable features • Own detailed scoping of new work with engineers and Deployment Engineers • Plan each quarter, own the mission, reconcile priorities, and make product trade-offs • Communicate high-level plans to the Senior Leadership Team • Design AI agents, including their capabilities, constraints, and human-in-the-loop workflows • Shape how risk and forecasts become actionable decisions for executives • Contribute to monthly Product Day sessions in the London office • Collaborate with Deployment and Engineering teams on ideas, planning, and complex solutions

🎯 Requirements

• Two-plus years owning a B2B or enterprise AI or SaaS product • Accountable for a product area, not tickets, with shipped and adopted features that real clients depend on • Ability to handle ambiguous problems, identify customer needs, and make trade-offs • Strong communication skills across engineering, customer, and leadership audiences • Experience building with LLMs, including model choice, prompting, context and retrieval, tool use, and evaluation suites • Up-to-date knowledge of AI technologies • Data fluency, including structured evaluations and measuring product outcomes • Nice to have: experience with technical products built on data science or machine learning • Nice to have: experience selling or shipping to senior operational or finance buyers • Nice to have: understanding of construction, planning, and/or risk • Must mention the word 'crane' in the application

🏖️ Benefits

• Meaningful equity • Generous paid holiday / unlimited days paid vacation • Flexible working hours • Flexible remote setup • Regular lunches and socials • Quarterly company get-togethers and team events • Learning & Development budget • Health & Wellbeing support • Generous family leave • High degree of ownership and growth opportunities • Inclusive, collaborative work environment

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