Engineering Manager, nPlan
£110-130k
+ Equity
More information about location
Machine learning to improve construction projects
Job no longer available
Machine learning to improve construction projects
21-100 employees
Job no longer available
£110-130k
+ Equity
More information about location
21-100 employees
Company mission
nPlan's vision is that all construction projects should be built on time and budget, enabling the cities of the future to be built better.
Role
Who you are
- This role is ideal for someone who thrives on technical depth, intellectual challenge, and impact at scale
- We’re after specialists who bring both expertise and curiosity
- Proven track record of managing 10+ engineers (ideally across multiple disciplines) in a high-growth, product-centric environment
- Comfortable scaling teams, systems and processes towards Series C
- A track record of governing technical debt whilst executing on software delivery at pace
- A background in requirements-driven architecture and systems design in the cloud
What the job involves
- We are looking for an Engineering Manager to lead our Product Engineering team in London
- You’ll report to our CTO and work closely with our VP of Product and senior engineers within the department
- In this role you’ll contribute to the development of the department and our products, guiding engineers from Frontend to Infrastructure in ensuring our capabilities and capacities are constantly growing
- You’ll mentor and grow senior engineers, unblock hard problems, and push the Engineering department by setting and achieving ambitious objectives and high standards of performance
- We work with complex graph data (each with 10,000+ nodes), applying multiple ML and LLM approaches to understanding the data, extracting meaningful insights using a proprietary forecasting engine, and empowering deep human interactions - all of which must work efficiently and robustly in production
- As a startup, we also keep agile in a fast-moving environment
- With this technology, nPlan are creating first of its kind products that can significantly improve the planning and delivery of major construction projects
- You’ll work alongside top engineers, AI specialists and product experts shaping the future of project intelligence
Application process
- Please mention the word ‘crane’ in your application form
- Once you’ve applied, you will hear from us within a week
- Interview stages typically include:
- A 30 minute intro chat
- A deep-dive technical or domain interview
- An interview focusing on our culture and values
- A final stage to test collaboration with our team (on-site or remote)
- We aim to complete the process within 3–4 weeks but can move faster if necessary
- We want every candidate to have a positive experience — and we’ll keep you informed every step of the way
Salary benchmarks
Our take
nPlan is leading the drive to improve decision-making in construction by applying machine learning to dramatically improve how information is retained and utilised to influence risk and uncertainty.
It noticed the construction industry has remained static for decades and projects are consistently not delivered on time or budget. With intelligent software, nPlan has started to change the fundamentals of the industry and improve the outcome for all stakeholders.
Having already worked with some of the biggest construction and infrastructure companies in the world, including Network Rail and Google, the company completed its Series A at the start of 2021 with GV as its lead investor.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Oct 2025
$16m
SERIES B
Aug 2025
$10.4m
SERIES A
Total funding: $49.7m
Company benefits
- Flexible working hours and locations - core hours of 11-3pm GMT
- Uncapped annual leave
- Share options
- Fitness allowance - £50/month to expense on any fitness activity
- Learning budget: £1000/year to spend on conferences, books, courses and subscriptions
- Visa Sponsorship and contribution towards relocation costs (role dependant)
- Health insurance - Private Medical Insurance with Vitality
- Generous family leave policies
Company HQ
Spitalfields, London, UK
Leadership
Dev Amratia
(CEO)Previously worked at Shell for 9 years before authoring the UK's National AI Strategy.
Alan Mosca
(CTO)Spent 7 years as a technologist in quantitative finance and is completing a PhD in deep learning.
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