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 GTM/RevOps Analytics Engineer to bridge the gap between technical data architecture and business insights. Reporting to the Senior Manager, Revenue Operations, you will be a key player in defining how we measure success and automate the journey from lead to revenue.
What You’ll Do:- Architect SQL-based data transformations from multiple GTM sources to ensure a single, clean version of truth for the entire organization.
- Design and maintain Looker/LookML dashboards to provide sales and GTM leadership with real-time visibility into pipeline health and revenue trends. Proven ability to translate raw sales activity into clean, actionable revenue data
- Engineer automated GTM reporting workflows in order to eliminate manual data pulls and allow business teams to focus on strategy over spreadsheets.
- Partner with RevOps, Analytics, and Finance to define core business metrics and ensure data consistency across the customer lifecycle.
- Optimize Salesforce data structures (Accounts, Opportunities, and Revenue) to improve the accuracy of our forecasting and performance tracking.
- Develop scripts and AI-based workflows over time to automate routine GTM tasks and enhance our operational velocity.
- Translate complex data findings into plain language for stakeholders to ensure every department understands the "why" behind the numbers.
- Technical Breadth: A professional understanding of advanced SQL for complex data modeling, hands-on experience with Looker/LookML, and a deep comfort navigating Salesforce GTM data structures.
- The "Human" Element: You are a structured thinker who enjoys simplifying complex problems and can build high-trust relationships with cross-functional partners.
- Coding & Automation: Experience with Python or using APIs to build scripts that make manual processes disappear.
- Growth Mindset: A desire to move beyond "what" happened to "why" it happened, with an appetite for constant feedback and a "leave it better than you found it" attitude.
This role supports EST and PST time zones, and the candidate should be comfortable working a night‑shift schedule
- 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.
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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
Remote Workspace
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.
