Account Executive - Cloud / AI Infrastructure UKI.

Cisco
London
7 months ago
Applications closed

Related Jobs

View all jobs

Pre-Sales Engineer / Product Associate

Business Development Specialist

Graduate Data Scientist - Fraud

Data Scientist (Fraud)

Senior Staff Machine Learning Scientist, Operations

62969 - Data Scientist

What You’ll Do

We are seeking a dynamic Account Executive who will drive the adoption of our Cloud + AI solutions across various industries. You will identify potential clients, understand their specific needs, and provide tailored AI solutions that align with their business operations. This role requires a deep understanding of Data Center Compute & Networking.


Who You’ll Work With

The Cloud + AI Infrastructure team delivers one scalable strategy with local execution for data center customer transformation and growth. We are the worldwide go-to-market compute and data center networking engine assembling market transitions and engaging with sellers to fuel growth for customers and Cisco. Alongside our colleagues, Cloud & AI Infrastructure builds the sales strategy, activates sellers and technical communities, and accelerates selling every single day.


Who You Are

You will develop and execute a sales strategy to achieve sales targets for Cloud + AI products and services and identify and prioritize target accounts and develop relationships with key decision-makers and partners. Engaging with clients to understand their business challenges and conducting detailed analysis to find opportunities for Cisco Cloud & AI - which includes Cisco Compute and Data Center Networking solutions. You will be seen as the architecture subject-matter expert for these solutions and will have to be able to run a full sales cycle, and align with your connected teams on key deals, and meet and exceed assigned quota.


Minimum Qualifications

8+ years of technology-related sales or account management experience Expertise in two or more data estate workloads like Microsoft’s Data & AI Platform Experience in understanding business issues of large CSP, accelerated Computing/ Data Center technology/ Deep learning & machine learning. Experience in sales methodologies - MEDDPICC preferred Excellent presentation skills – ability to deliver engaging workshops to both technical and non-technical audiences Proven experience in software sales Experience using CRM software to run sales pipelines and customer relationships.

Preferred Qualifications

Bachelor’s degree or equivalent experience in Business, Computer Science, Engineering, or a related field; advanced degree is a plus. Experience engaging with large hyperscalers. Track record of growing revenue for new innovative technology-based solutions. Experience in multi-level selling, comfortable influencing CxO, IT Managers, Purchasing, etc. Experience driving strategies; and has a strong personality with demonstrated leadership skills working in a complex matrix organization

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.