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Lead engineering for DigitalOcean's LLM inference product suite, owning Serverless/Dedicated/Router/Batch/Multimodal offerings. Drive model optimization, architecture, and hardware-aware inference (quantization, KV-cache, speculative decoding, disaggregated serving). Recruit and mentor teams, collaborate cross-functionally, ensure production health and SLAs, and institutionalize benchmarking, observability, and auto-tuning to deliver cost-efficient, high-performance inference at scale.

Lead and grow an engineering organization building and scaling DigitalOcean's LLM inference product suite. Own product roadmap execution, inference-serving architecture, model optimizations (quantization, KV-cache, speculative decoding), and GPU-aware performance. Recruit and mentor engineers, partner cross-functionally, ensure production reliability and SLAs, institutionalize benchmarking, observability and auto-tuning, and drive contributions to open-source inference engines.

The Data Center Engineer I is responsible for deploying and maintaining infrastructure, diagnosing issues, managing inventory, and collaborating with peers in a data center environment.

Serve as a strategic HR business partner to front-line and mid-level managers: coach difficult conversations, resolve complex employee relations, drive data-informed people decisions using Workday, enforce data hygiene, execute people cycles (performance, comp, surveys), translate engagement data into action, and leverage AI and digital tools to automate administrative tasks.

Design, build, and maintain security products and infrastructure: real-time detection engines (Flink/Kafka), high-performance APIs (Go/Node.js), streaming analytics, Kubernetes at hyperscale, and petabyte-scale data pipelines. Lead technical designs, collaborate with security teams, and mentor junior engineers.

Design and build real-time security detection engines and streaming analytics using Apache Flink and Kafka. Develop high-performance security APIs and microservices in Go and Node.js, architect Kubernetes-based security solutions, and build petabyte-scale data pipelines. Lead technical design, collaborate with security teams, and mentor junior engineers.

Design, develop, test, and maintain DigitalOcean's low-level virtualization stack for Droplets. Collaborate across hardware, kernel, observability, and product teams to support scale, security, GPU/AI workloads, and new hardware. Contribute to open source virtualization projects, validate hardware, backport and deploy patches, improve release pipelines, and participate in on-call rotations.

Design, implement, and maintain large-scale datacenter and global backbone networks. Diagnose and resolve complex network issues, automate provisioning and compliance with Python/Go/Salt, perform capacity planning, lead maintenance and migrations, run proofs-of-concept, and produce network documentation, runbooks, and BOMs while mentoring team members and coordinating incident responses.

Lead DigitalOcean Managed PostgreSQL: own strategy, architecture, reliability, scalability, and AI-native integration. Build hyperscaler-grade reliability, scale Advanced Edition for large workloads, partner across Product/GTM/SRE, and grow a high-performing global engineering organization.

The Staff AI Product Manager will drive product strategy for GPU offerings, conduct market analysis, collaborate with teams for product development, and advocate for customer needs. Responsible for managing product lifecycle and utilizing data-driven approaches for product success.