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2 weeks ago
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Enterprise Sales Manager

Growth Troops

Sales

Confidential
  • Minimum Qualification :
  • Experience Level : Senior level
  • Experience Length : 6 years

Job Description/Requirements











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












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