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Lead and scale a Customer Success Engineering team supporting strategic cloud and AI/ML customers. Own 24x7 support operations, escalations, KPIs, and technical enablement across Kubernetes, databases, compute, GPUs and MLOps. Act as technical escalation for Sev1/Sev2 incidents, partner with TAMs and Product/Engineering, improve escalation runbooks and knowledge base, and drive automation and tooling to improve CSAT, response/resolution times, and support quality.

Lead global datacenter site selection and acquisition, managing end-to-end RFPs, MSAs, SLAs, and multi-million dollar negotiations. Own vendor relationships, perform TCO and financial modeling with Finance, and collaborate with Legal and Operations to ensure facilities meet technical standards. Monitor datacenter and energy markets, drive vendor performance, and scale colocation capacity to support business growth.

Lead and validate large-scale data center deployments including rack buildouts, cabling validation, hardware and GPU rollouts, vendor coordination, troubleshooting (hardware, optics, Linux), training local teams, maintaining runbooks and DCIM records (DCTrack, NetBox), and supporting extensive domestic and international onsite travel for deployment readiness and handoffs.

Manage end-to-end sourcing operations for global data center hardware: source and vet suppliers, negotiate contracts and SLAs, run RFP/RFQ processes, collaborate with engineering on BOMs and forecasts, mitigate supply risks, and drive supplier performance and cost optimization.

Lead global sourcing, selection, and procurement of datacenter space and power. Own end-to-end deal execution (RFPs, MSAs, SLAs, leases), negotiate multimillion-dollar contracts, manage vendor relationships, build TCO/financial models, collaborate with Legal and Operations, and monitor datacenter and energy market trends to inform site strategy.

The Staff Forward Deployed Engineer drives AI adoption for strategic customers by solving complex cloud infrastructure challenges, developing scalable assets, and influencing product roadmaps through collaboration and technical expertise.

The Staff Forward Deployed Engineer will work with AI-Native customers to solve cloud infrastructure challenges, build scalable tools, optimize AI workloads, and influence product development by embedding with clients and establishing best practices.

Manage key accounts by providing technical consultation, architectural design, and proactive engagement to drive customer growth on the DigitalOcean platform.

The Manager, Customer Success Engineering at DigitalOcean leads a team supporting strategic customers in cloud and AI/ML workloads, focusing on operational excellence and customer satisfaction.

Lead design and implementation of scalable, multi-tenant serverless inference services focused on throughput, GPU utilization, resiliency, observability, and operational tooling. Partner with platform and GPU teams, debug production performance issues, mentor engineers, drive incident response, and create reusable patterns, standards, and automation for inference workloads.