Enterprise Sales Manager at Growth Troops

We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Enterprise Sales Manager at Growth Troops. Remote Location: South Africa - Cape Town. Enterprise Sales Manager. Full-Time · Remote (ET Hours) · Competitive Compensation · Venture-Backed SaaS Startup. About the Company. We’re a fast-scaling, venture-funded startup based in New York, helping global brands optimize over $1M in annual ad spend with our enterprise software. As we expand, we’re building a world-class go-to-market team to drive continued growth and category leadership.. The Role. As an . Enterprise Sales Manager. , you’ll lead a high-performing team of Account Executives and play a hands-on role in pipeline generation, deal strategy, and revenue growth. Reporting directly to the Head of Revenue, you’ll shape a repeatable sales engine, close key deals, and drive alignment across GTM teams.. Key Responsibilities. Manage, coach, and scale a team of quota-carrying AEs. Drive outbound sales efforts and support full-cycle enterprise deals. Use . Gong.io. to review sales calls and refine sales effectiveness. Collaborate with Marketing and Product on GTM messaging and campaigns. Track performance and maintain accurate forecasting in Salesforce and HubSpot. Close strategic enterprise deals and support complex sales cycles. Support hiring, onboarding, and career development for the sales team. What You Bring. 6+ years in enterprise SaaS sales, including 2+ in a leadership role. History of leading teams that consistently exceed quota in high-growth settings. Experience managing complex $100K+ ARR deals with multiple stakeholders. Familiarity with Salesforce, HubSpot, Gong, and other modern sales tools. Domain knowledge in ad tech, analytics, or data-driven platforms. Strong communicator with excellent business and technical acumen. Availability to work U.S. Eastern Time hours. Bonus Points. Experience building a sales function at an early-stage startup. Background selling into marketing, analytics, or data science teams