Channel Sales Executive – Microsoft Graduate Scheme Uk Edinburgh

Overview

Position Title: Channel Sales Executive

Company: Microsoft

Location: Edinburgh, UK

Job Description

The Global Partner Solutions team mission is to: build and sell intelligent cloud and intelligent edge solutions with partners, empowering people and organizations to achieve more. GPS is a sales organization accountable for the commercial partner business at Microsoft. Building on the GPS mission, the Channel Sales Enterprise (CS-E) role is key to Microsoft’s channel management strategy as part of the GPS Organization. You will have a primary focus on understanding where the greatest areas of opportunity exist within your segment, and to then create a plan and execution model with your partners. This is an opportunity that will deepen your Solution Sales expertise, hone your collaboration skills and accelerate your career growth. The seniority of the role evidences Microsoft’s deep commitment to building a best-in-class partner ecosystem.

Responsibilities:

• Proactively creates, nurtures, and influences a partner ecosystem to drive larger impact for the customer. Facilitates match-making to drive opportunities (e.g., digital transformations), connecting partners to sellers and working closely with account teams to align Microsoft solutions to specific business needs across horizontals and verticals. Delivers and integrates partner expertise and solutions into sales cycles that grow consumption of Microsoft products.
• Develops pipelines with co-sellers. Engages partners and co-sellers proactively to ensure right co-sell prioritization and pipeline coverage to support targets. Participates in intellectual property (IP) and service sales forecasting, as well as account/territory planning to identify and address gaps. And drives pipeline reviews with top co-sell partners and Microsoft sellers to evaluate pipeline effectiveness.

Requirements:

• Language fluent in English AND German or French is a must
• Demonstrable experience in Azure Data & AI or relatvie technologies