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.
The Copilots Engineering team is responsible for developing and maintaining Machine Learning and AI solutions leveraging our Gradient Platform. This team is responsible for innovating in this new area to bring new AI based solutions to cloud infrastructure operations. Continuing with our mission of DO simplicity our customers look to DO for innovation to improve infrastructure engineering, workload performance, and system reliability while lowering costs. Thus, building automations through DO's Gradient Platform is imperative to keep our customers focused on developing their business.
We are seeking a highly motivated and skilled Senior Engineering Manager in US locations: Austin, Boston, Denver, San Francisco Bay Area, and Seattle. You will play a critical role to ensure product experiences at all stages of the developers' journeys enable a DO-simple method to scale their business. You will join a team providing smooth operation of the AI solutions, providing technical support, managing operations, and driving efficiency through automation. This is an exciting opportunity to be a part of building a new team, developing in the new fast paced AI market, and making a significant impact on our company's growth.
What You'll Be Doing:- Lead a team of software engineers developing gRPC APIs, building AI agents, creating a platform for other DigitalOcean engineers to build agents, and operating production services.
- Develop efficient team methods to adroitly delivery value to our customers.
- Collaborate across the organization and consistently interface with UI, UX, customer success, marketing, and engineering teams.
- Develop Objectives and Key Results (OKRs) and utilize these Key Results to measure and report on the success of the team.
- Collaborate with product and engineering teams to define roadmaps to build the next generation of products for DigitalOcean's customers.
- Review and give input on architectural system designs.
- Pair with leads on delivery of features, and resolutions of defects.
- Career coaching including performance assessment, and career development.
- Collaborate directly with customers to learn more about their jobs to be done and how DigitalOcean can better serve them.
- Escalation path for the product on-call rotation, and drive improvements post incidents.
- Technologies we use: Kubernetes, Go, gRPC, Kafka, SQL, Grafana, Prometheus, and DigitalOcean Gradient AI Platform
What You'll Add to DigitalOcean:- Experience building software used by 1000s of users.
- Integrate regular customer feedback into software development practices, and leverage customer feedback to drive features with a focus on always delivering value to DigitalOcean customers.
- Awareness and authentic interest in learning in areas such as Golang gRPC principles, infrastructure operations, large language models, and agentic solutions.
- Regularly give feedback to team members on wins, and areas to improve.
- Lead a team where individuals enjoy coming to work, know what needs to be done, and have the resources to get their job done.
- Efficiently manage the team to deliver value for users and the business.
- Identify issues impeding software development (across all phases of a service lifecycle from conception to maintenance) and collaborate with the team to resolve and improve.
- A commitment to delivering scalable reliable systems.
- Systems thinking.
- Strong opinions, weakly held.
Compensation Range: *This is a remote role
#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.
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