At a Glance
- Tasks: Lead sales for Google Cloud solutions and guide clients through tech transformations.
- Company: Join a top partner of major cloud providers like AWS, Azure, and Google.
- Benefits: Competitive salary, growth opportunities, and a dynamic work environment.
- Other info: Collaborate with diverse teams and enjoy a fast-paced, innovative culture.
- Why this job: Be at the forefront of cloud technology and make a real impact.
- Qualifications: Sales experience and a passion for technology are essential.
The predicted salary is between 60000 - 80000 £ per year.
WHO WE ARE A leading partner to the world’s major cloud providers, including AWS, Azure, and Google.
The formation of Accenture Cloud First, with a $3 billion investment over three years, demonstrates our commitment to deliver greater value to our clients when they need it most and offers huge growth opportunities for you.
Our Cloud First group of more than 70,000 cloud professionals delivers a full stack of integrated cloud capabilities across data, edge, integrated infrastructure and applications, deep ecosystem skills, culture of change along with deep industry expertise to shape, move, build and operate our clients’ businesses in the cloud.
THE WORK Become a leader in the premier sales force for the Accenture Google Business Group (AGBG), bringing our market‑leading Google Cloud solutions to our clients.
This is more than a traditional sales role; you will be a strategic guide, helping clients navigate their most significant technology transformations and unlock new possibilities.
As a Sales Executive in the Accenture Google Business Group (AGBG), you will drive the end‑to‑end sales process for a fast‑paced sales cycle: prospecting, qualification, solution shaping, negotiation; build and manage a robust pipeline; work with cross‑functional teams (pre‑sales, delivery, alliances/partners, marketing) and represent the company as a trusted advisor, matching our proven solutions to client needs.
You will help clients harness cutting‑edge technologies—from Data