Account Executive - Commercial

Posted 7 Hours Ago
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Hiring Remotely in San Francisco, CA, USA
In-Office or Remote
90K-250K Annually
Entry level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
DigitalOcean is the Inference Cloud built for production AI.
The Role
Sell DigitalOcean cloud and AI solutions to venture-backed, AI-native startups. Responsibilities include prospecting, discovery, customized demonstrations, territory strategy, complex solution selling, pipeline management, quota attainment, and developing relationships with technical founders and CTOs. The role focuses on high-compute workloads, AI model deployment, cloud adoption, and strategic partnerships while collaborating with Solutions Architecture, Customer Success, and Product teams.
Summary Generated by Built In

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.

Skills Required

  • Experience executing complex sales strategies involving cloud infrastructure, IaaS/PaaS, and AI/ML inferencing at scale
  • Consistently meeting or exceeding annual revenue targets
  • Experience selling to venture-backed startups or AI-native companies with $1M+ annual cloud spend
  • Understanding of solution-based selling methodologies and complex sales cycles
  • Experience presenting to technical founders and managing pipeline and contact information
  • Ability to build respectful relationships with internal partners and external venture/startup communities
  • Growth mindset, receptiveness to feedback, and entrepreneurial drive

What the Team is Saying

DigitalOcean Compensation & Benefits Highlights

  • Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, and mental-health insurance. Feedback suggests this area stands out as a core strength of the package.
  • Equity Value & Accessibility — Equity participation is emphasized through performance grants and an Employee Stock Purchase Plan. Feedback suggests these programs add meaningful value alongside base pay.
  • Leave & Time Off Breadth — Time off is positioned as flexible or unlimited, with above-average parental leave highlighted across sources. Feedback suggests this flexibility supports work-life balance.

DigitalOcean Insights

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The Company
HQ: Broomfield, CO
1,400 Employees
Year Founded: 2012

What We Do

DigitalOcean is the Inference Cloud — a full-stack, production-ready cloud platform built to run AI applications with predictable performance, sustainable economics, and radically simpler operations at scale. We are built for teams turning AI into real products — not just training models. Our advantage is not fewer features, but fewer failure modes when operating AI at scale — combining minimal operational overhead, predictable cost efficiency, and a full-stack cloud that works as a system. Hyperscalers are broad by design. Neoclouds are infrastructure-first. DigitalOcean is inference-first — with a real cloud underneath. It combines inference-optimized compute, managed inference software, and integrated cloud capabilities that reduce operational burden for teams running real workloads. Inference is the foundation—not the boundary. Everything else builds on top of it.

Why Work With Us

At DO, we do career-defining work. We innovate with AI and build cutting-edge tech. Our rewards to match that intensity - to motivate you, recognize your impact, and give you what you need to thrive. If you have a growth mindset, like to think big and bold, and are energized by the fast-paced environment, you'll find your place here.

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DigitalOcean Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We commit to both remote work and in-person collaboration. These ways of working are dependent on specific roles and are mutually agreed upon by employees. In the US, we are mainly remote. In our APAC locations, we have a hybrid in-office approach.

Typical time on-site: Not Specified
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HQBroomfield, CO
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Seattle, WA
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Hyderabad, Telangana
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