Harness
Senior Enterprise Account Executive - San Francisco
San Francisco, California, United States · Senior
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About the role
- Harness is looking for sales champions and leaders who are as passionate about building the next great software company as they are about blowing out their numbers every quarter.
Responsibilities
- Understands the value of utilizing a strong sales methodology such as MEDDPICC when building pipeline and qualifying opportunities
- Ability to maintain a high level of productivity, manage multiple competing priorities, and work effectively under the pressure of time constraints in a fast-paced, complex, collaborative, and team-oriented environment
- Goldman Sachs leads investment in software delivery startup Harness at $5.5 billion valuation
- Power Partner list for software delivery success
Requirements
- Bachelors Degree or equivalent
Skills
- Exceeding your number- Winning new enterprise logos
- Forecasting correctly, communicating clearly, aligning brilliantly with the rest of the team
- Not being afraid of being data driven - including using Salesforce and other tools to track your progress
- Managing full sales cycle from prospect to close
- Collaborating with other teams, including sales engineering and sales development
Compensation
- Competitive salary
- Monthly, quarterly, and annual social and team-building events
- The OTE for this position is $325,000.00
- Salary is determined by a combination of factors including location, level, relevant experience, and skills.
Benefits
- Comprehensive healthcare benefits
- Flexible Spending Account (FSA)
- Flexible Time Off and Parental Leave
Company info
- With a global team across 26 offices and 27 countries, Harness is shaping the future of AI software delivery - and we're looking for exceptional talent to help us move even faster.
- At Harness, we care about your privacy and are committed to protecting your personal data.
- Accelerating Our Mission to Bring AI to Everything After Code
This listing is sourced directly from Harness's careers page and normalized into a canonical job model.