Director, Engineering - Forward Deployed Engineering
DigitalOcean
| Company | DigitalOcean |
| Category | Engineering |
| Location | Bengaluru |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Director |
| Salary | Not stated by the employer |
| Posted | 16 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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. Position Overview
DigitalOcean is building the AI-Native Cloud for the next generation of AI companies. As Director of the Internal Data Platform organization, you will lead a team of highly technical engineers and data scientists responsible for DigitalOcean’s internal data pipeline. This role operates at the intersection of product, and engineering. You will mentor and grow a team of FDEs while remaining hands-on in strategic customer engagements, platform validation, AI workload optimization, and product acceleration initiatives. The ideal candidate combines deep AI infrastructure and agentic expertise with strong engineering leadership, thrives in ambiguity, and demonstrates a builder mentality. You are equally comfortable mentoring engineers, influencing roadmap discussions, reviewing architecture decisions, and rolling up your sleeves to help solve complex customer or platform challenges. While this is a management role, it is not a traditional people-management position. The successful candidate will spend their time balancing team leadership, technical strategy, and hands-on problem solving to help customers and DigitalOcean succeed in the rapidly evolving AI infrastructure landscape.
What You'll Do
Team Leadership & Growth
Coach, mentor, and develop a team of Forward Deployed Engineers through regular feedback, career development, and technical leadership.
Foster a culture of ownership, execution, continuous learning, and customer obsession.
Strategic Customer & Platform Execution
Partner with strategic AI-native customers to architect, deploy, optimize, and scale production AI and agentic systems.
Lead complex onboarding, migration, and workload expansion initiatives across DigitalOcean's AI-Native Cloud.
Act as an escalation point for critical customer and platform challenges.
Technical Leadership & Product Acceleration
Provide hands-on guidance for architecture, design, performance optimization, and operational best practices.
Validate new AI platform capabilities, surface product and architectural gaps, scaling bottlenecks, and influence roadmap priorities through research and real-world customer workloads.
Collaborate closely with Product, Engineering, Research, and ecosystem partners to accelerate platform maturity.
Automation & Operational Scale
Drive the development of automation, benchmarking systems, deployment frameworks, operational playbooks, and reference architectures.
Improve team scalability, execution speed, and quality-of-life through better tooling and processes.
Ecosystem Collaboration
Partner with GPU vendors, model providers, and infrastructure partners on validation, optimization, benchmarking, and launch readiness initiatives.
Travel
Ability to travel up to 30% for customer engagements, strategic workshops, conferences, and internal collaboration.
Key Metrics
Team growth, retention, and technical leadership development
Successful production deployments and AI platform adoption
Product influence and platform improvements driven by customer insights
Adoption of FDE-built automation, tooling, and deployment frameworks
Improvements in team efficiency, onboarding velocity, and operational scale
What You'll Add to DigitalOcean
Engineering Leadership 6+ years of experience leading highly technical engineering, infrastructure, consulting, or platform teams while developing sen
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