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Salary: USD 125,000 - 250,000 / annual
Everlaw is seeking an Enterprise Account Executive to drive net new business and expansion within State, Local, and Education (SLED) agencies. You will own the end-to-end sales cycle, helping government entities modernize litigation, public records, and investigative workflows through value-based selling.
Key responsibilities include building and executing territory and account plans to establish healthy pipelines and achieve quota targets. You will lead deep discovery and value-based sales presentations with government attorneys, FOIA officers, law enforcement attorneys, and legal IT leadership. The role involves managing complex, multi-department sales cycles from qualification through contract negotiation and close.
You will collaborate cross-functionally with Solutions Architecture, Value Engineering, Customer Success, Business Development, and Legal teams to win strategic opportunities. Marketing partnership includes organizing and representing Everlaw at industry conferences and in-person government meetings. The role leverages a modern sales tech stack including Salesforce, Gong, SalesNavigator, Govspend, and AI tools for territory navigation and account research.
Regular travel is required to attend tradeshows, customer meetings, and industry engagements throughout your territory.
Required qualifications: minimum 3 years of enterprise SaaS or legal services sales experience selling into complex accounts or government agencies, with proven quota overachievement ($1M+ ARR). You must be an agile hunter excelling at prospecting and pipeline building, with strong strategic presentation skills and comfort conducting needs analysis with senior leadership. A team-first mindset and seamless cross-functional collaboration are essential. Monthly travel throughout territory is required. U.S. work authorization is required; visa sponsorship is not available.
Bonus qualifications include legal technology platform sales experience, public sector procurement navigation, familiarity with MEDDPICC or Command of the Message methodologies, and experience with transactional usage-based models and multi-year commitment structures.
