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 a Director of Revenue Operations Systems & GenAI to lead the transformation of our revenue engine through scalable systems, data, and AI.
This leader will own the End-to-end RevOps systems and Analytics spanning CRM, sales engagement, conversation intelligence, enrichment, and emerging AI platforms. The role combines hands-on execution, team leadership, and architectural ownership of the Revenue tech stack.
You will partner closely with Sales, Customer Success, Marketing, and Executive Leadership to design and operate a modern, AI-powered Revenue Operations function that drives efficiency, visibility, and growth.
- Define and evolve the Revenue Operations tech stack architecture (Salesforce, Gong, Groove, Clay, and adjacent tools)
- Lead evaluation, selection, and implementation of systems that support the full revenue lifecycle
- Ensure systems are scalable, integrated, and aligned to revenue processes
- Drive standardization across workflows, data models, and system design
- Lead the development and execution of the RevOps GenAI roadmap
- Identify and deploy AI-powered use cases across Sales, Customer Success, and Marketing (e.g., pipeline insights, forecasting signals, call intelligence, workflow automation)
- Partner with Product, Data, and Engineering to embed AI-native workflows and agents
- Continuously evaluate emerging AI capabilities and translate them into measurable revenue impact
- ️ Systems Implementation & Operations
- Own implementation and optimization of core platforms:
- Salesforce (CRM)
- Sales engagement platforms (e.g., Groove)
- Conversation intelligence (e.g., Gong)
- Data enrichment and automation tools (e.g., Clay)
- Drive system adoption, data integrity, and operational excellence
- Ensure tools enable seller productivity and reduce friction across the revenue lifecycle
- Lead the RevOps Analytics function, including reporting, dashboards, and advanced insights
- Build and maintain a single source of truth for pipeline, ARR, and customer data
- Deliver actionable insights on pipeline health, forecast accuracy, and revenue drivers
- Embed insights directly into workflows to drive real-time decision-making
- Lead and scale a high-performing team across Systems and Analytics
- Operate as a player-coach, balancing execution with strategic leadership
- Build a culture of ownership, speed, and continuous improvement
- Mentor and develop team members into future leaders
- 8–12+ years in Revenue Operations, Sales Operations, or GTM Systems leadership
- Deep expertise in Salesforce and RevOps tech stack architecture
- Proven experience implementing tools such as Gong, Groove, Clay, or similar platforms
- Strong understanding of data models, integrations, and system design
- Hands-on experience applying AI/GenAI in revenue workflows
- Track record of driving cross-functional initiatives with measurable business impact
- Strong analytical mindset with ability to translate data into revenue outcomes
- Experience building and leading high-performing teams
- You think in terms of revenue systems, not just tools
- You are comfortable going from architecture design to hands-on execution
- You bring a product mindset to internal platforms and workflows
- You are obsessed with driving seller productivity and revenue efficiency
- You simplify complexity and deliver outcomes at speed
As we scale, Revenue Operations becomes the backbone of how we operate. This role is critical in connecting systems, data, and AI into a cohesive revenue engine that enables our teams to execute with precision and scale.
You will play a key role in shaping a modern, AI-powered RevOps function that drives sustainable growth and competitive advantage.
JR: 2026-7671
#LI-Remote
- 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.
