Enterprise SaaS Executive — Remote, Equity, High OTE

Enboarder; United States; On-site; USD 135,000 - 150,000; Full time

Benefits offered by this job

Equity included

Job summary

Slang AI is seeking an Enterprise Account Executive to own the full enterprise sales cycle, targeting high-volume restaurant groups and hospitality brands. You will prospect strategically, run discovery, deliver compelling demos, and partner with Sales, Engineering, Marketing, and Customer Success to close major logos, driving ROI for clients while balancing independence and collaboration.

You will thrive in a fast-paced, metrics-driven environment, using MEDDIC or Challenger methodologies to

Qualifications

• 5–8 years of full-cycle SaaS sales experience, including 3+ years in enterprise/new-logo deals.
• Track record of exceeding $1M ARR and closing $100K+ contracts.
• Fluent articulation of business ROI using MEDDIC or Challenger methodologies.
• Experience selling to VP/COO/CTO-level decision makers in complex organisations.
• Strong pipeline management, forecasting, and process discipline.
• Growth mindset with coachability, curiosity, and accountability.
• Excellent written and verbal communication with executive presence.

Responsibilities

• Own full enterprise sales cycle from prospecting to close.
• Lead discovery, deliver demos, and craft winning proposals.
• Partner with Product, Implementation, Marketing and Customer Success to onboard new logos.
• Quantify ROI and tell compelling stories aligned to executive priorities.
• Maintain CRM hygiene and achieve quarterly revenue targets.

Job description

Slang AI is seeking an Enterprise Account Executive to own the full enterprise sales cycle, targeting high-volume restaurant groups and hospitality brands. You will prospect strategically, run discovery, deliver compelling demos, and partner with Sales, Engineering, Marketing, and Customer Success to close major logos, driving ROI for clients while balancing independence and collaboration.

You will thrive in a fast-paced, metrics-driven environment, using MEDDIC or Challenger methodologies to