Manager, AI Engineering – AI & Business Tech Engineering

🕒 2 days ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $180k - $200k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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DigitalOcean

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

☁️ SaaS

SaaS • Cloud Computing

DigitalOcean is a cloud infrastructure provider that offers a suite of products and services for developers to build, deploy, and scale applications. Their platform provides comprehensive tutorials, reference material, and support documentation to assist users in managing resources effectively using their API and CLI tools. With features like Droplets (virtual machines), managed databases, Kubernetes, and a marketplace for third-party applications, DigitalOcean focuses on simplicity and performance. They cater to both individual developers and larger organizations looking for cloud solutions that are easy to implement and manage.

📋 Description

• Lead, mentor, and grow a distributed team of AI engineers • Act as a player-coach: review architecture and contribute to design • Shape and execute the technical roadmap for the AI Engineering team • Design and deliver agentic systems end to end • Build and evolve our internal AI platform • Partner with leaders from Finance & Supply Chain Systems • Collaborate closely with peer leaders in Enterprise Architecture • Champion modern AI engineering practices • Develop OKRs for the team and report progress • Recruit world-class AI engineering talent • Contribute to AI & Business Technology Engineering leadership team planning

🎯 Requirements

• Significant experience as a software engineering manager • Hands-on engineering depth in modern AI/ML systems • Practical experience building or operating agentic systems • Experience designing internal developer platforms or productivity tooling • A clear point of view on AI governance and safety • Strong software engineering fundamentals in at least one production language • Excellent written and verbal communication skills • Experience hiring and retaining strong AI engineering talent • Comfort working in a hybrid environment

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities • Employee Assistance Program • Local Employee Meetups • Equity compensation including stock options