Technical Sales Manager

Propel

London

11 months ago

Applications closed

Related Jobs

View all jobs

Senior Manager, Forward-Deployed Data Science

Data & Analytics Data Scientist (Public sector) Professional Multiple Cities

Senior Data Scientist - Generative AI

Senior Data Scientist (Applied AI)

MSc Data Science and Artificial Intelligence

Data Scientist

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.

Industry Insights

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

Jan 18, 2026

Jobs Careers

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

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jan 13, 2026

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Jan 5, 2026

Education Jobs

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

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.