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Director, Engineering

Director, Engineering

DigitalOceanSan Francisco, CA, United States
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Overview

Join to apply for the Director, Engineering role at DigitalOcean .

Dive in and do the best work of your career at DigitalOcean. We’re building developer-first AI capabilities directly into the DigitalOcean platform and are looking for a Director of Engineering to lead the AI engineering efforts. This is a critical leadership role that will shape the technical execution and long-term vision for our AI initiatives. You’ll partner with product, data science, and infrastructure teams to deliver intuitive, performant, and scalable AI features that help our customers build smarter applications—fast. You’ll work at the intersection of platform infrastructure and applied AI, delivering developer-facing tools that make building and scaling intelligent applications simple and accessible on DigitalOcean.

This role is ideal for a hands-on technical leader who understands both the potential and practicalities of applying AI in a developer-first environment. You’ll shape the engineering roadmap, hire and mentor a strong team, and collaborate with product and data teams to define what AI at DigitalOcean should look like.

What You’ll Be Doing

  • Lead the technical strategy and execution for AI features and services across the DigitalOcean platform.
  • Build and scale a team that develops customer-facing ML-powered tools, APIs, and platform integrations.
  • Collaborate with product managers, data scientists, and design to translate AI ideas into production-ready features.
  • Ensure high standards of security, performance, and reliability in AI systems.
  • Stay on top of trends in the AI / ML space to identify emerging opportunities that align with customer needs.
  • Foster a culture of ownership, technical excellence, and curiosity within the team.

What We'll Expect From You

  • 12+ years of experience in software engineering, including 5+ years in technical leadership roles.
  • Deep experience delivering AI / ML-enabled products or developer tools at scale.
  • Strong technical expertise in machine learning systems, infrastructure, and cloud-native architecture.
  • Ability to connect customer needs, AI opportunities, and product capabilities.
  • Effective communicator who can operate across engineering, data, and product functions.
  • Experience mentoring and scaling inclusive, high-performing teams.
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.

    • Why You’ll Like Working For DigitalOcean

  • We innovate with purpose and aim to simplify cloud and AI so builders can create software that changes the world. We value ownership, bold thinking, and responsible decision-making.
  • We prioritize career development with resources for growth, conferences, training, and access to Learning.
  • We care about well-being with a competitive benefits package, including flexible time off where allowed by local regulations.
  • We offer a competitive salary and equity compensation; eligibility for bonus and Employee Stock Purchase Program may apply.
  • We are an equal-opportunity employer and value diversity and inclusion. We do not discriminate on any protected characteristic.
  • This is a remote role where applicable by location.

    • Seniority level

  • Director

    • Employment type

  • Full-time

    • Job function

  • Engineering and Information Technology
  • Industries : Internet Publishing

    • Note : This posting may include references to related roles and location details that evolve over time. Referrals increase your chances of interviewing at DigitalOcean.

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    Director Engineering • San Francisco, CA, United States

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