Commercial Account Director - CSaaS

AirSearch
united kingdom, united kingdom
9 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Pricing Data Scientist

Pricing Data Scientist

Data Analyst - Fintech SaaS Game Changer. Hybrid

Chief Data Scientist & Commercial Strategy Leader

Audience & Campaign Data Analyst — 1st-Party Data & BI

Job Title:Commercial Accounts Director – CSaaS (Multiple Hires)

Location:Fully Remote (UK Midmarket & Enterprise Focus)

Base Salary:£75k - £90k + DEO x2 OTE (Uncapped)


About Our CSaaS Client:

Our CSaaS client is a leading Cyber Security-as-a-Service provider that delivers comprehensive, cloud-based cybersecurity solutions tailored for midmarket and enterprise organizations. Their platform offers end-to-end protection through continuous threat detection and response, vulnerability management, and risk assessment. By leveraging advanced analytics, machine learning, and behavioural intelligence, they provide proactive monitoring, rapid incident response, and compliance assurance across complex IT environments. Their solution suite includes managed detection and response (MDR), next-generation firewalls, endpoint protection, and integration with leading SIEM technologies to ensure a resilient security posture for organizations with 500 to 5000+ seats.


The Role:

As the Commercial Accounts Director, you will drive end-to-end sales efforts into the UK Midmarket and Enterprise sectors. You will be responsible for forging long-term partnerships with strategic clients by articulating the value and capabilities of our CSaaS offerings. This fully remote 360° business development role requires deep expertise in cybersecurity and IT services, enabling you to identify new opportunities, manage complex sales cycles, and consistently exceed revenue targets. You will work closely with C-level stakeholders, positioning our client’s robust cybersecurity platform as the ideal solution for modern security challenges.


Key Responsibilities:


  • New Business Acquisition:Identify, target, and secure new midmarket and enterprise clients, building a robust pipeline of opportunities.
  • Sales Cycle Management:Oversee the entire sales process from prospecting and needs analysis to negotiation and deal closure, ensuring a seamless handover to our client’s implementation teams.
  • Client Engagement:Develop strong, consultative relationships with key decision-makers, understanding their cybersecurity challenges and tailoring solutions that offer tangible risk mitigation and compliance benefits.
  • Strategic Collaboration:Partner with internal teams to align product features and market insights with evolving client requirements, enhancing the overall value proposition.
  • Performance Monitoring:Utilize CRM and analytics tools to track sales activities, forecast revenue, and continuously refine your approach to meet and exceed targets.


Key Requirements:


  • Minimum of 3+ years of proven experience in new business development within cybersecurity, IT services, or related fields targeting midmarket and enterprise clients.
  • Demonstrated success in managing complex, consultative sales cycles and consistently achieving or surpassing revenue goals.
  • In-depth knowledge of cybersecurity solutions, including managed detection and response (MDR), advanced threat prevention, and integrated compliance frameworks.
  • Exceptional communication, negotiation, and relationship-building skills, with the ability to engage effectively with C-level executives.
  • A self-starter with a strategic mindset, capable of driving growth in a fully remote, commission-driven environment.
  • Proficiency in CRM systems and sales analytics tools.


If you are a driven sales professional with a passion for cybersecurity and a proven track record in strategic business development, we invite you to apply and join our CSaaS client on their mission to secure the digital future of midmarket and enterprise organizations.


To Apply:Please submit your CV and a brief cover letter outlining your relevant experience and achievements in this space.

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 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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.