Mid Market Account Executive

As a Mid-Market Account Executive on our Commercial Sales team, you will assist in Datadog’s overall business growth by strategically engaging and closing net-new customers across mid-to-large size markets. Sellers follow a well-defined methodology, collaborate with internal stakeholders, identify the customer's unique needs, and clearly convey the value of the Datadog product.

• Focus entirely on net-new logo acquisition
• Convert inbound leads to closed opportunities
• Leverage tools such as Sales Navigator and DiscoverOrg
• Strategically prospect into Chief Technology Officers, Engineering/IT Leaders, and technical end users
• Collaborate with Sales Development Representatives to drive top of funnel activity
• Manage the full sales cycle, including negotiations and on-site technical demonstrations

• Experienced in hunting and closing net new logos
• Able to strategically map out and break into accounts
• Curious, motivated, and driven as a sales person
• Bold on the phones and creative in your emails
• Able to sit up to 6 hours, traveling to and from client sites via auto, train, or air, up to 50% of the time

• High income earning opportunities based on self performance
• Opportunity for Presidents Club
• New hire stock equity (RSU) and 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 for in-house networking
• An inclusive company culture, opportunity to join our Community Guilds
• Generous global benefits

Compensation: The reasonably estimated yearly salary for this role at Datadog is $90,000—$95,000 USD. Datadog offers a competitive salary and equity package, and may include variable compensation.

About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers.