Companies DigitalOcean

DigitalOcean

Broomfield

Total Offices: 3

1,400 Total Employees

1,000 Product + Tech Employees

Year Founded: 2012

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We're Hiring!

Engineering 41 Customer Success & Experience 26 Finance 16 Product Management 6 Sales 6 AI & Machine Learning 5 Cybersecurity 4 Consulting 2 Operations & Support 2 Data & Analytics 1 HR & Recruiting 1

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DigitalOcean Career Growth & Development

DigitalOcean Employee Reviews

I noticed senior designers who really went out of their way to help me navigate this new experience. Even non-designers and my product managers are consistently kind and positive. That’s made a really big impact on working my first full-time job.

Isabel Shic, Junior Product Designer

When I joined DigitalOcean, I was looking for more than just a job—I wanted a place that felt like home. DO gave me that from day one. The way the company supported me, especially outside of work, allowed me to show up as my best self every day. Through big transitions like the pandemic, they always put my family first. That support helped me stay grounded and, in turn, empowered me to help others do their best work for our customers.

Jason Dobry, Staff IT Project Specialist

I resonate the most with DO Learning. The company really encourages everyone to have a growth mindset and provides resources and tools to help people learn and grow. For example, we have a book program where we get reimbursed for buying books every month. We also get access to all these great materials on LinkedIn Learning.

Apple Li, Director of Financial Planning and Analysis

What People Are Saying About DigitalOcean

Training & Education Access: Company materials describe education reimbursement for courses and certifications, conference support, and unlimited access to LinkedIn Learning. These formal benefits signal that structured upskilling is actively resourced.
Career Path Clarity: People Team pages highlight defined career paths and level expectations so employees know how to grow. This setup aims to reduce ambiguity around promotion criteria when teams operationalize the ladders.
Challenging Assignments: Recent emphasis on AI/ML and inference (including the Paperspace integration and an Agentic Inference Cloud) expands scope into modern GPU, MLOps, and inference workloads. This trajectory increases opportunities to tackle cutting‑edge problems for those comfortable with pace and change.