The posting
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are looking for an Enterprise Account Executive who is passionate about empowering developers with simple, scalable cloud infrastructure that helps bring their ideas to life.
As an Account Executive II, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. You will act as a strategic advisor to venture-backed, AI-native startups, translating their massive inferencing needs into scalable, cost-effective solutions on DigitalOcean. Operating at this level, you will leverage your advanced subject-matter expertise to drive meaningful organizational change, autonomously navigating the unique pacing of the startup ecosystem while influencing cross-functional teams to deliver exceptional customer outcomes. This role is for a builder who is ready to shape our footprint in the AI space and become a cornerstone of our growth among next-generation tech innovators.
What You’ll Do:
- Conduct deep discovery and deliver customized demonstrations of DigitalOcean's AI and cloud solutions in order to establish trust and address the intensive inferencing and GPU roadmaps of AI-native startups.
- Prospect, qualify, and develop net-new relationships within the venture capital ecosystem and high-growth startup communities in order to generate scalable, seven-figure revenue streams.
- Land, adopt, expand, and deepen relationships with technical founders and CTOs in order to maximize customer lifetime value and drive platform adoption for high-compute workloads.
- Develop and execute a comprehensive territory sales strategy targeting companies with $1M+ annual cloud spends in order to consistently achieve or exceed quarterly and annual quotas.
- Collaborate closely with Solutions Architecture, Customer Success, and Product teams in order to deliver a seamless, best-in-class customer experience tailored to the unique demands of AI model deployment and scaling.
- Serve as a trusted advisor to startup leadership in order to align DigitalOcean's evolving AI product suite with their long-term technical growth and Series funding milestones.
- Leverage solution-based selling strategies and meticulous pipeline management in order to independently navigate complex startup purchasing cycles and close strategic, high-value partnerships.
What You’ll Add:
- Technical Breadth: Experience with executing complex sales strategies, backed by a deep understanding of cloud infrastructure (IaaS/PaaS) and the specific compute requirements for AI/ML inferencing at scale.
- Experience with consistently meeting or exceeding annual revenue targets, specifically selling into venture-backed startups or AI-native companies with $1M+ annual cloud spends.
- A deep understanding of solution-based selling methodologies, including managing complex sales cycles with technical founders, delivering compelling presentations, and meticulously organizing pipeline and contact management.
- The "Human" Element: A reputation for making others better, creating an inclusive work environment, and forging long-standing, respectful relationships with both internal cross-functional partners and external venture/startup communities.
- Growth Mindset: A desire to learn, an appetite for feedback, and a "leave it better than you found it" attitude, coupled with the entrepreneurial drive to treat the company's strategic targets as your own.
Compensation Range:
- Base Salary Range: $100,000 - $125,000
- On-Target Earnings (OTE): $200,000 - $250,000
*This is a remote role
JR: 2026-8315
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
