nPlan on cord

nPlan

Talent Acquisition Associate

External position
London, UK
Hiring internally for nPlan?
Machine Learning and AI · Analytics · Data
Machine learning to improve construction projects
Active
over 6 months ago
Posted
a month ago
Checked
cord regularly checks that external positions are still open
12 hours ago

Skills & Experience

Job roles: Talent Acquisition
Experience level: Entry, Junior, Mid
Core skills considered: Candidate sourcing, ATS, Building Teams
Other skills considered: Communication software, Interviewing, Recruitment strategy

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: FTC
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

Own the whole thing. Five to seven live searches, brief to accepted offer. No coordinator beneath you, nobody above you doing the interesting parts. We're a company of around fifty people, so one hire visibly moves it.

Hunt for people who don't answer job ads. ML researchers, product people who can hold their own with programme directors, enterprise sellers who sell into infrastructure. Small pools, no inbound shortcut. This is most of the job.

Work like a talent team of five, as one person. We're an AI company, so obviously we know what AI can do. We'll give you the AI tooling and the time to learn it properly. What we need is someone who'll actually run with it.

We're looking for the person who's blowing the roof off the expectations of what good looks like at your level and wants to take real ownership and accelerate their growth.

This is a contractor role that has the potential to grow into more. nPlan is growing fast and we're always on the lookout for exceptional talent that can help us create a step-change in the growth of our business.

We don't have a talent team. We have this role, and the hiring managers you'll partner with.

That's a wider remit than someone a few years in usually gets. That's because we'd rather back one person who is hungry and learning fast, with real ownership and real support, than hire someone senior to do a fraction of what they're capable of. The bet only works if you close the gap quickly, so we've been specific below about where we'll carry you and where we won't.

One important thing: If you're not comfortable picking up the phone, please don't apply.

You'll have three main focus areas:

Sourcing is the engine, not the fallback. We hire for competencies that are genuinely scarce, and passive channels don't fill those roles. You'll run active, targeted outbound as the default, with the structure to keep five to seven searches alive at once without any of them going quiet for a fortnight. This is the part we expect you to already be good at.

We want recruiting here to be data-driven. We've started building the infrastructure, and now need you to use it and help us improve it. You will be asked to keep the data honest, know your own numbers cold, and change what you're doing when they tell you to. We'd rather you kill a sourcing channel with evidence and move on to the next one than defend one with anecdote.

AI is how one person covers this much ground. We're an AI company, so obviously we know what AI can do. We don't expect you to arrive with a built-out AI workflow but we do expect someone who teaches themselves quickly and is truly curious. You'll get proper onboarding on the tooling, a budget for more, and roughly a quarter to get fluent. After that it's the difference between coping and being genuinely good at this.


What you'll do

  • Source actively, every day. Build target lists and market maps, find people who aren't looking, and write outreach that gets replies from people who ignore twelve InMails a week. Pick up the phone - our experience tells us this is still the most effective way to source and accelerate time to fill in our talent pools.
  • Run five to seven searches end to end. Intake, market map, outbound, screen, coordination, offer, close. You'll know where every search stands without having to look it up.
  • Help us close. Our preferred candidates are in demand and will have counter-offers and multiple processes moving at speed. Getting someone across the line when they have options is a team effort, and you'll help us make sure they're excited and we're prepared.
  • Keep the numbers honest and use them. Log properly, know your key metrics, understand and own what's happening in each role you're working, and bring data to our weekly one-to-one with a view on what you're changing.
  • Get fluent with the AI stack. Research, list-building, enrichment, drafting and personalising outreach, structuring screens, pulling your own reporting. We'll teach you the first version; we expect you to build on it and make it better.
  • Learn the domains properly. Machine learning, product, enterprise sales into infrastructure. You don't need to arrive knowing any of this. You do need to reach the point where an ML engineer or construction industry insider takes your call seriously. That means immersing yourself with our team, our products, our industry, and our clients.
  • Work closely with hiring managers. Run real intake conversations, keep them moving, and get comfortable telling them when the brief and the market don't agree.
  • Please mention the word 'crane' in your application.

What we're looking for

  • Around two years of hands-on recruiting where you found your own candidates - outbound, headhunting, referrals, networks - rather than working a queue of inbound applicants. Agency, in-house, embedded or RPO; we care about what you did, not where you did it.
  • You teach yourself things. Tell us about something you learned on your own initiative and what you did with it. This matters more to us than what you already know, because the tooling and the domains here will move faster than any of us can keep up with.
  • Ambition in the specific sense we mean it: reaching past the brief. The person who researches a market unprompted, who asks why we're hiring the role at all, who comes back with the candidate nobody asked for. Not longer hours - that's a meaningless (and often negative) metric.
  • Placements you can actually evidence. How many people you put into roles, into what, over what period, and roughly what your outreach reply rate looks like. We'll ask, and we'd rather have a modest honest number than a large vague one.
  • You've carried a heavy concurrent load and can describe the system that made it possible - the actual mechanics, not "I'm organised."
  • Experience recruiting in technology, data, or adjacent fields, for mid-career and experienced professionals rather than graduate or early careers programmes.
  • You're comfortable with numbers - conversion rates, funnel maths, honest reporting on your own performance.
  • You write well. Outreach, candidate updates, hiring manager summaries. Writing is most of this job.
  • You can set your own pace. Nobody here will be setting your daily targets. We'll give you cadence and support, but the discipline has to come from you. Some people find that liberating and some find it disorienting - be honest with yourself about which you are.

Nice to have

  • You already use AI tools in your workflow and can show us how.
  • Exposure to hiring machine learning, data science, or enterprise sales talent.
  • Recruiting into the UK, US, or Australian markets.
  • Working knowledge of an ATS beyond submitting into it.
  • Something you've built or automated in a recruiting workflow - a scoring rubric, a sourcing agent, a report nobody asked for.
  • Some interest in construction, infrastructure, or AI. You'll be selling this company to sceptical people; caring about it helps.

Company Benefits

  • Flexible working hours
  • Unlimited paid time off policy
  • Flexible working locations
  • Share options for all employees
  • Fitness allowance for gym, classes, clubs or anything else that keeps you physically healthy!
  • Headspace subscription
  • Learning budget: conferences, books and workshops
  • Annual company retreat and regular social events on our roof terrace
  • EAP and eye tests
  • Season ticket loan
  • Contribution towards relocation costs
  • Work from home opportunities
  • Health insurance
Talent Acquisition Associate at nPlan
Position posted a month ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
Alex Yeates on cord
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