Enterprise Account Executive, EMEA [IC4 - IC5]
SourcegraphFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates must possess a minimum of 5 years of Enterprise SaaS Sales Experience, with a proven track record of selling enterprise software into large, complex accounts with an average ACV of $150k+. Exceptional communication and presentation skills with a customer-centric approach are essential, as is the ability to manage complex sales cycles of 6-12 months. Experience selling at the C-Level, particularly to CTO, CIO, CLO, and CDO roles, is required. The role also requires the ability to travel approximately 20% of the time, a strong hunger for success, a hunter mentality with the grit and determination to nurture and expand opportunities, and humility to work independently and collaboratively in a fast-paced environment. Working knowledge of MEDDPICC is a bonus, and proficiency in tools like Gong, SFDC, Outreach, Sales Navigator, and AI tools such as ChatGPT is advantageous.
The Enterprise Account Executive will own and deliver on quarterly and annual revenue targets, establishing and growing a high-velocity pipeline within their assigned territory. Responsibilities include educating C-suite leaders from technology, data, learning & development, and talent departments, providing accurate forecasting, and adopting a consultative approach to guide senior executives through the sales process. They will build long-term relationships, drive revenue growth from existing customers, attend networking events and trade shows, and work collaboratively with cross-functional teams. The role involves acting as the primary customer contact throughout their lifecycle, serving as a strategic voice in team meetings to share learnings and improve sales playbooks, and identifying and executing on all expansion opportunities within an account.
AI-powered skills intelligence for workforce development
Workera enhances workforce capabilities by providing AI-powered skills intelligence for large organizations. Its platform integrates with existing content resources to classify and measure skills with high precision, focusing on areas like data science and machine learning. This allows companies to deliver tailored development opportunities, ensuring employees receive appropriate training and mentorship. Workera generates revenue through subscription fees for its platform, which includes tools for skill assessment and benchmarking. The goal is to help organizations optimize their workforce's potential and become AI-ready, maintaining a competitive edge in the market.