SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 115,000 - 115,000 / annual
Conga is seeking a Commercial Account Executive to drive new business growth across the Southeast region (Alabama, Arkansas, Florida, Georgia, Louisiana, South Carolina). You will be responsible for prospecting, managing, and closing new enterprise-wide Conga solutions with B2B organizations across strategic verticals.
In this role, you will:
- Spearhead new logo acquisition efforts, uncovering and nurturing new business prospects
- Deeply understand client requirements and craft personalized solutions aligned with their business goals
- Develop and implement territory, account, and opportunity plans to optimize revenue within your assigned territory
- Manage sales opportunities throughout the entire sales cycle, from prospecting through close
- Collaborate with Sales Engineering, Business Development, Marketing, Transformation Specialists, Customer Success, Professional Services, and partners to deliver comprehensive solutions
- Sell high-impact, mission-critical projects with substantial value, driving transformational change for clients
- Leverage strategic partner relationships to drive mutual business growth
Conga's platform unifies commercial operations by aligning pricing, quoting, contracting, rebates, and communications so teams stay in sync and buyers keep moving forward. The company serves over 10,000 customers worldwide, including over 50% of the Fortune 100.
Requirements:
- Minimum 3 years of successful B2B technology commercial sales experience in the SaaS industry
- Proven track record of consistently exceeding quota and revenue targets
- Proficiency in revenue management principles
- Ability to cultivate and leverage strategic relationships with partners
- Hunter mentality with relentless pursuit of new business opportunities; thrive in fast-paced environments
- Strong solution-selling skills and strategic mindset
- Knowledge and experience in AI and machine learning is valued; understanding of how AI can enhance revenue management processes is a plus
