Enterprise Account Executive
🚀 About Compa
Compa is a venture-backed SaaS startup revolutionizing the future of compensation.
In a dynamic job market with hiring challenges, accountability, and the rise of AI, companies need the best data to stay ahead of industry changes, competition, and costs. Compa has developed the premier real-time compensation data platform, delivering top-tier compensation intelligence to leading enterprise teams.
Compa is a compensation intelligence company built to augment enterprise compensation teams in the era of AI.
Our customers include the world’s biggest companies: Apple, NVIDIA, Tesla, Mastercard, T-Mobile, Sanofi, Moderna, Gilead Sciences, and more.
As an Enterprise Account Executive, you will be responsible for landing and expanding Compa’s presence within the world’s most innovative enterprise organizations. You’ll drive strategic deals by targeting key peer companies in our anchor tenant strategy, helping compensation leaders unlock real-time market intelligence. You’ll own the full sales cycle—from creative prospecting to closing—and collaborate closely with marketing, insights, and product to drive results.
This role is ideal for someone who thrives in a fast-paced, early-stage environment and wants to make a direct impact on revenue growth, customer success, and product direction.
Minimum Qualifications
5+ years of enterprise SaaS sales experience, with a strong track record of closing complex, high-value deals
Experience selling into HR, People, or Compensation teams at large enterprise companies
Proven ability to manage long sales cycles and build relationships with VP- and C-level stakeholders
Creative and persistent prospecting across email, events, partnerships, referrals, and beyond
Strong consultative selling and storytelling abilities, with a talent for problem-solving with customers
Self-starter mentality with a strong sense of ownership and comfort working in ambiguity
Familiarity with CRM and sales engagement tools (e.g., HubSpot, LinkedIn Sales Navigator)
Preferred Qualifications
Background working with or selling into Compensation or Total Rewards functions
Exposure to or interest in agentic AI technologies and enterprise AI adoption
Experience contributing to early-stage product or GTM strategy in a startup environment
Strong cross-functional collaboration skills across Product, Marketing, and Customer Success
Track record of helping build and refine sales processes, content, and customer materials
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