(Sr.) Revenue Analytics Manager

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San Francisco, CA, USA
In-Office
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
DigitalOcean is the Inference Cloud built for production AI.
The Role

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 want people who are passionate about creating experiences that our customers and peers will love.

The Revenue Analytics Manager will collaborate with stakeholders across the CRO organization and Finance to catalyze growth by providing robust and relevant analysis, insights, and actionable data-guided recommendations. The ideal candidate for this position will be comfortable working in a dynamic, fast-paced environment.

What You’ll Be Doing:
  • Design and implement approaches to measure the effectiveness of our revenue initiatives against company KPIs
  • Partner with FP&A to develop Revenue prediction models and establish a new forecasting process
  • Dive into a variety of datasets becoming a subject matter expert on the data generated by, and used by our Sales, Account Management, Channel, Support, and Solutions Architect teams
  • Share a range of information, reasoning, insights, and recommendations that will drive decisions by our key stakeholder teams
  • Author content for board and executive leadership meetings
  • Develop territory coverage models and help establish company-level targets
What You'll Add to DigitalOcean:
  • Bachelor’s degree in Math, Statistics, Economics, Finance, or other quantitative fields
  • 5+ years of experience in quantitative analytics role, preferably in a high-growth environment, working across multiple stakeholders, teams, or businesses
  • Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on-premises and cloud-based data sources
  • Ability to be efficient and work independently while also being able to collaborate effectively in a group setting, organize and manage multiple assignments and deadlines
  • Demonstrable critical thinking and analytical skills, including the ability and confidence to make conclusions and recommendations for action from data
  • Proactive communication skills and track record of setting and executing on clear, realistic deliverable timelines
  • Experience building easily digestible data visualizations, dashboards, and reports
  • Advanced experience with SQL, Excel/Google Sheets, and CRM systems
  • Experience with data modeling in Looker or other BI tool (e.g. Tableau, PowerBI)
Compensation Range: 
  • $100,800 - $126,000

*This is a remote role

JR: 2026-7400

#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.

What the Team is Saying

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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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Employees work remotely.

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.

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