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You will lead a high-performing team of Account Executives to drive pipeline generation, deal strategy, and revenue growth. Additionally, you will manage sales effectiveness through call reviews, maintain accurate forecasting, and close strategic enterprise deals.
Join Hire Hangar and work with fast-growing global companies while building a long-term career.
Full-Time · Remote (ET Hours) · Competitive Compensation · Venture-Backed SaaS Startup
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.
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.
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
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
Experience building a sales function at an early-stage startup
Background selling into marketing, analytics, or data science teams
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