Revenue Operations Engineer

Posted 12 Hours Ago
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Hyderabad, Telangana, IND
In-Office
Mid level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
DigitalOcean is the Inference Cloud built for production AI.
The Role
The Revenue Operations Engineer role involves analyzing GTM data, creating Looker dashboards, automating reporting workflows, and collaborating with financial teams using SQL and Salesforce data.
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’re looking for a GTM/RevOps Analytics Engineer who enjoys working at the intersection of data, systems, and business. You’ll help turn messy GTM data into clear insights today—and help us build smarter, automated workflows (and eventually AI agents) for tomorrow.This is not just a reporting role. You’ll think like an analyst and build like an engineer.

What You’ll Do:
  • Write SQL to pull and transform data from multiple sources
  • Build and maintain Looker dashboards for sales, revenue, and GTM teams
  • Work with Salesforce data (accounts, opportunities, pipeline, revenue)
  • Help define metrics and make numbers easy to understand for business teams
  • Improve and automate GTM reporting workflows
  • Partner closely with RevOps, Analytics and Finance
  • Over time: help build automation, scripts, and AI/agent-based workflows
What You’ll Add to DigitalOcean:
  • Minimum 3 years of professional experience in a similar role
  • Strong SQL skills (this is a must)
  • Experience with Looker / LookML or similar BI tools
  • Comfortable working with Salesforce and GTM data
  • Strong analytics mindset – you care about why numbers change, not just what
  • Some coding experience (Python preferred; APIs, scripts, or automation is a plus)
  • Curious, structured thinker who likes simplifying complex problems
  • Clear communicator who can explain data in plain language

This is a hybrid role based out of Hyderabad, India. 

#LI-Hybrid

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.

Top Skills

Looker
Lookml
Python
Salesforce
SQL

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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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.

Typical time on-site:
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HQBroomfield, CO
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Hyderabad, Telangana
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Santa Clara, CA
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