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Salary: USD 150,000 - 180,000 / annual
Uare.ai builds AI for service-based professionals—coaches, consultants, tutors, educators, and other experts—who want to scale their work. The platform captures how an expert thinks, speaks, and works, then turns it into a personalized AI that handles client intake, adaptive courses, Q&A in the expert's voice, and paid services. The company launched publicly in July 2026 and is backed by $10.3M from Mayfield and Boldstart Ventures. Founder and CEO Rob LoCascio previously took LivePerson from startup to public company.
As an Account Executive, you will close multi-seat, multi-stakeholder deals that are too complex for the SDR team to handle alone. You'll work with service providers, education programs, coaching and advisory practices with teams, and enterprise training groups. You own the full sales cycle from first meeting to signature and help build the playbook as the company scales.
Key responsibilities:
- Run the full sales cycle: source, discover, demo, propose, negotiate, and close multi-seat accounts
- Carry a quarterly new-revenue quota and build pipeline to exceed it
- Take qualified opportunities from SDRs and source your own deals
- Execute land-and-expand strategy: start with one team, grow into additional workspaces and seats
- Maintain accurate forecasts and pipeline data in HubSpot weekly
- Provide feedback to product on buyer requests and reasons for lost deals
Requirements:
- 3+ years as a B2B SaaS Account Executive with quota-carrying experience
- Demonstrated ability to lead the full sales cycle from sourcing and outbound to close
- AI-native: use AI tools daily for prospecting, research, and follow-up
- Experience closing deals with multiple stakeholders and navigating real buying processes
- Comfortable selling new categories where you educate before you sell
- Strong written communication and sharp demo skills
- Self-directed; able to build process where none exists yet
Bonus qualifications:
- Prior sales experience with service providers, education, or L&D teams
- AI or vertical SaaS background
- Early-stage startup experience
