Revenue Operations Support Analyst
DigitalOceanHyderabadPosted 20 March 2026
Job Description
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 seeking a Revenue Operations Support Analyst to help us scale how we support our sales organization. This role will be a critical partner to sales and collaborate closely with Finance, Legal, and Revenue Operations, helping move deals forward with speed, sound judgement, and operational rigor.
You’ll play an important role in structuring deals, improving process quality, and helping our sales team close business efficiently and responsibly. We’re looking for someone who is proactive, eager to learn, and energized by solving problems in a fast-paced environment. This is a great role for someone who is a self-starter and wants to build strong commercial judgement early in their career while having a direct impact on revenue outcomes.
What You’ll Do:
Support Deal Execution:
Partner with sales teams to review, structure, and support deals across a range of products and regions
Help drive deals through the quoting, approval, and contracting processes with urgency, accuracy, and strong attention to detail, policy, and business context
Act as a trusted day-to-day partner to account executives, account managers, and sales leaders on deal questions and support
Work cross-functionally with Finance, Legal, and other partner teams to support the quote-to-cash process and execution
Enhance Operational Quality:
Ensure deal data is complete and accurate in our CRM, with a focus on data hygiene and process compliance
Support pricing and discounting governance by reinforcing our pricing policies
Help maintain consistency and quality across deal workflows and related processes
Improve Process and Scale:
Identify friction in current processes and proactively recommend improvements that increase speed, consistency, and scale
Optimize policies, playbooks, and standard operations procedures for deal support
Provide general sales operations support as needed across planning, process, and execution priorities
What You’ll Add to DigitalOcean:
2+ years of experience in deal desk, sales operations, revenue operations, finance, or related analytical or operational roles
Experience supporting SaaS, cloud, or technology sales organizations
Familiarity with pricing, discounting, approvals, process enhancement, and sales operations
Strong analytical and problem-solving skills with first principles thinking
Self-starter mentality with a proactive eagerness to learn and level-up the revenue operations team
Ability to manage multiple priorities in a fast-paced environment
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 acc ... (truncated, view full listing at source)
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