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DigitalOcean

Senior Director, Inference Products, Optimizations

DigitalOcean

Senior Director of Engineering at DigitalOcean leading LLM inference product suite. Responsible for team leadership, product roadmap, and technical strategy in AI/ML systems.

Posted 7/16/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $274,400 - $343,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in distributed systems design and modern AI/ML technologies, with a strong focus on leading technical teams and ensuring system stability. Proven ability to define product roadmaps and institutionalize best practices in infrastructure management.

Highest-signal resume keywords
Distributed Systems DesignTechnical LeadershipKubernetesAI/ML TechnologiesSystems Engineering

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software EngineeringInfrastructure Metrics TrackingCloud-Native ArchitecturesGPU ArchitecturesHardware Optimization
Soft Skills
CommunicationMentoringCoachingOwnership
Tools & Technologies
KubernetesCloud-Native Technologies
Industry Keywords
Inference ProductsSystem StabilityInfrastructure Tuning

Tech Stack

Tools & technologies
CloudDistributed SystemsKubernetes

About the role

Key responsibilities & impact
  • Recruit, mentor, and coach engineers
  • Define and execute on the Product roadmap for DigitalOcean's Inference Products
  • Lead design and evolution of inference serving stack
  • Collaborate with Product Management and engineering teams
  • Ensure production health and stability of all systems
  • Institutionalize best practices for system and infrastructure tuning

Requirements

What you’ll need
  • 10+ years of software engineering experience
  • 6+ years in technical leadership or management role
  • Deep expertise in distributed systems design
  • Knowledge of modern AI/ML technologies
  • Experience with Kubernetes at scale
  • Understanding of cloud-native multi-region architectures
  • Familiarity with GPU architectures and hardware optimization
  • Strong systems engineering and security knowledge
  • Expertise in defining and tracking infrastructure metrics
  • Excellent communication and ownership skills

Benefits

Comp & perks
  • Competitive salary
  • Flexible time off policy
  • Employee Assistance Program
  • Local Employee Meetups
  • Professional development resources and reimbursement for relevant conferences, training, and education
  • LinkedIn Learning access
  • Bonus potential based on performance
  • Equity compensation including equity grants and Employee Stock Purchase Program