Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Account Executive - Google Cloud

Devoteam G Cloud United Kingdom
London
11 months ago
Applications closed

Related Jobs

View all jobs

Professional Services Manager (Data Engineering Team)

Senior Staff Machine Learning Scientist, Operations

Senior Data Analyst

Senior Data Analyst

Data Scientist (Portfolio Analytics

Lead Architect - Data Engineering

Job Description

Job Description

About the role

As a Google Cloud Account Executive within the UK team, your primary role is to work with prospects and customers driving the adoption and usage of Google Cloud products and services. You will work with customers ranging from £300m to £1b in revenue and on projects covering (not exclusive to) Infrastructure Modernisation & Migration, Data Modernisation, AI & ML, Security & Workspace, with a large focus on selling professional service to enable POC, Production Build and ongoing Adoption & Optimization. 

You will work hand-in-hand with our strategic partner, Google Cloud and the associated teams, identifying target customers and working with them to deliver best in class solutions and growth. The role is a mix of New Business & Account Growth, working closely with a team of Pre-sales & Support Services teams.

What we are looking for

  • You can demonstrate experience in selling cloud solutions & associated professional services

  • You have experience managing Corporate and Digital Native Accounts

  • You're able to build executive relationships with customers, influence their long-term strategic direction & act as a trusted advisor 

  • You can build and execute account plans, resulting in a robust pipeline

  • Coming up with and executing demand generation activities in close collaboration with the marketing team sounds exciting

  • You're able to qualify and assist customers in identifying use cases suitable for Google Cloud Platform & other Google technologies' deployment, and articulate key differentiators

  • You can manage multiple opportunities through the entire sales cycle simultaneously, working with cross-functional teams as necessary

  • You work with your counterparts at Google as if they are your own colleagues

  • You look forward to serve as the primary customer contact for all commercial activities

  • You believe self-development is key to success

  • You speak English as main language

  • You are entitled to work (and live) in the United Kingdom. We don’t sponsor visas.

  • The possession of GCP sales certificates, a Google Cloud Digital Leader certificate, or the promise to obtain those on short notice

What we have to offer

  • An exciting job where innovation in technology is not a buzzword but a reality at Google’s Most accredited partner and 5 times running EMEA Partner of the Year

  • Continuous training & development of soft- and hard skills, including training at several Google locations

  • A competitive salary, in line with your profile

  • A package of benefits including a workplace pension and private healthcare insurance

  • An awesome team of colleagues & regular team building activities

  • The ability to work with the world’s leading companies in technology and innovation

  • The possibility to work from home as well as from our London office

  • An environment where we embrace openness, transparency and grab every opportunity to have fun, while always doing what is right for our customers and partners

In the UK, we are around 100 people delivering a range of cutting-edge cloud, DevOps and service transformation projects with our partners, Google, Service Now, AWS, Salesforce and Microsoft.

We focus on technologies that can be delivered at scale for competitive advantage, so AI, Big Data, Cloud, DevOps, Automation, Collaborative platforms and enterprise platforms are our focus. We watch emerging technologies and pilot some projects in the areas of blockchain, VR and quantum computing but not at scale.

We help our customers become agile and reliable at scale, develop their business models, processes and technologies to become platforms and manage their overall ecosystem more successfully.


Additional Information

All your information will be kept confidential according to EEO guidelines.

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 Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.