Enterprise Sales Executive (SLED)

The role

The Enterprise Sales Executive (SLED) will prospect into State, Local, and Education organizations. You will manage relationship maps, negotiate pricing, and expand reach within an assigned territory.

What you will do

• Prospect into State, Local, and Education organizations
• Maintain, build and own specific relationship maps for your territory
• Develop a deep comprehension of customer's business
• Negotiate favorable pricing and business terms with SLED enterprises
• Handle existing customer expectations while expanding reach and depth into assigned territory
• Demonstrate resourcefulness when faced with challenges
• Identify value drivers behind all opportunities
• Ensure high forecasting accuracy and consistency

Required qualifications

• 3+ years closing experience (mix of field selling within mid-market or enterprise)
• Met/exceeded direct sales goals of 800k+ with an average deal size of $50k+
• Able to demonstrate methodology to prospect and build pipeline on your own
• Experienced in selling into state, local, and education organizations with the ability to win new logos
• Regular travel to client sites using various modes of transportation

Nice to have

• Experienced in working for an innovative tech company (SaaS, IT infrastructure or similar preferred)

Benefits

• High income earning opportunities based on self performance
• New hire stock equity (RSU)
• Employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Sales training in MEDDIC and Command of the Message
• Intra-departmental mentor and buddy program
• Inclusive company culture and Community Guilds
• Medical benefits package
• Retirement savings match
• Pet adoption and insurance program
• Healthcare, dental, parental planning, and mental health benefits
• 401(k) plan and match, paid time off, and fitness reimbursements

About the company

Datadog is an observability and security platform providing unified visibility across the technology stack. It is used by Fortune 500 companies and high-growth AI leaders.