Technical Sales Manager

Propel
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist Degree Apprentice within Sales & Marketing Data Scientist Degree Apprentice within Sales & Marketing Apprentices Crewe, GB 6 Feb 2026

Product Data Scientist

Lead Data Scientist

Senior Machine Learning Engineer (MLOps)

Senior Simulation Engineer (Data Science)

Senior Machine Learning Engineer (Outfits)

Technical Sales Manager

Location:London or Manchester (1 day per week in the office)

Package:Circa £80k with £70k OTE


About the Role:


We are looking for a Technical Sales Manager to bridge the gap between sales and technical implementation, working in a SaaS company focused on AI-driven computer vision, helping businesses unlock real-time insights, automate processes, and boost efficiency with cutting-edge technology.


Key Responsibilities:


  • Own the full integration process, including API integrations, connectivity, and troubleshooting.
  • Work closely with sales to support pre-sales efforts, demonstrating technical feasibility to potential customers.
  • Lead post-sales implementation, ensuring customer success through hands-on integration support.
  • Collaborate with R&D and product teams to refine integration processes and address technical challenges.
  • Deploy and manage Docker containers, handle API integration calls, and troubleshoot technical issues.
  • Act as a trusted technical advisor, guiding customers through setup and optimisation.


Ideal Candidate:


  • Strong technical background in IT, software integration, or technical sales engineering.
  • Comfortable working with APIs, system architecture, and cloud-based deployments.
  • Ability to install, manage, and troubleshoot Docker containers.
  • Experience working closely with sales teams to support pre- and post-sales efforts.
  • Proven ability to work across commercial and technical teams to drive customer success.
  • Hungry to learn, quick to adapt, and eager to grow in a scaling business.


Benefits:

  • Competitive base salary - circa £80k + £70k OTE
  • Opportunity to work with cutting-edge AI and computer vision technology.
  • Regular travel (UK & international) to engage with clients and partners.


This is a fantastic opportunity for a technically savvy professional who wants to be at the intersection of sales, technology, and customer success. If you’re looking to make an impact in a rapidly growing space, we’d love to hear from you!

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.