Sales Development Representative

This Is Prime
Leeds
11 months ago
Applications closed

Related Jobs

View all jobs

Sales Data Analyst – Finance Sector

Junior Data Analyst – Power BI & Power Platform

Junior Data Analyst

Data Analysts ITSM and Azure Data Platform

Data Scientist (Full Stack)

(Senior) Forecasting Data Engineer

Business Development Executive

Location: Leeds City Centre (Hybrid Working)

Salary: £25K - £26K basic, OTE £35-40K

Sector: Marketing/Events/Tech/Software


The Company:

Our client are an outsourced business development and marketing department that help b2b companies across the globe focusing in on the UK, US, Europe, China and APAC to win new clients and grow their business. Their clients range from tech giants and disruptors including household names like Google, Adobe, Verizon, and Steven Bartlett's company Social Chain!

Founded in 2012, the company has gone from strength to strength and now with a team of over 55 people based out of their London HQ, they boast an impressive client portfolio, a vibrant city office location, and a truly collaborative and social environment. They're now looking to expand across the Globe but beginning with Manchester and Leeds.

You’ll research then build a list of prospects that hit the client ICP brief, invite them along to events where they can hear from expert speakers typically on a challenge they might be facing, and you'll then look to generate sales meetings post- event. You’ll also get to attend these events which are hosted at cool venues such as Soho House, The Shard and The Gerkin.


The Benefits:

  • Competitive salary and uncapped commission
  • Clear and structured progression path – 1st promotion within your first year
  • Opportunity to work with some of the biggest tech companies worldwide
  • Monthly team socials paid by the company
  • Hybrid working
  • Dedicated Line manager who will help plan your working week and drive your personal development.
  • Lots of clubs and activities – i.e., book club / yoga / 5 a side football / regular social events


The Role:

  • Generate attendees to client webinars & events. You’ll reach out to prospects via LinkedIn, the phone and email.
  • Support the wider Business Development team on various client accounts – helping to build and nurture new business leads and relationships.
  • Generate new leads from cold by leveraging insight, content, events and trends to spark the conversation.
  • Schedule meetings and demos for your clients with prospects who would be interested in the clients’ products.
  • Communicate with clients and undertake general account management responsibilities such as compiling reporting documents and ensuring your client has all the information about the leads you generate.
  • Work towards monthly targets focused on a set amount of meetings booked and attended and/or event registration sign ups comprising of digital and in-real-life events.


You Should Apply If:

  • Have any kind of office working experience
  • Have fantastic communication skills both verbal and written
  • If you’re a team player whilst maintaining an ambitious and competitive mindset
  • Have the ability to grasp new topics and acquire new skills quickly
  • Be curious and have a solution focused mindset, always finding a way to overcome challenges and deliver results
  • Be incredibly coachable and willing to learn
  • Possess excellent organisational skills

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.