Product Manager

nPlan

. Run user and buyer research and participate in client and sales meetings .

Posted 10/22/2026full-timeRemote • United KingdomJuniorMid-Level💰 £80,000 - £95,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing B2B or enterprise AI and SaaS products, with a focus on user research, product decision-making, and collaboration with engineering teams. Proficient in analyzing product usage and guiding product features based on customer feedback and data fluency.

Highest-signal resume keywords

B2B Product ManagementAI TechnologiesUser ResearchCommunication SkillsData Fluency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product ScopingFeature AdoptionLLM ExperienceProduct Outcome MeasurementRisk Analysis

Soft Skills

Problem SolvingCollaborationTrade-off Decision Making

Tools & Technologies

PostHogUserflow

Industry Keywords

SaaSData ScienceMachine LearningConstructionPlanningRisk Management

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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