DigitalOcean Offices

Serve as a technical partner to sales and customer success teams, advising high-value customers on cloud infrastructure and AI/ML solutions. Responsibilities include architecture reviews, proofs of concept, demos, onboarding, technical workshops, infrastructure optimization, LLM deployment and fine-tuning, GPU workload optimization, AI application design, data pipeline and database integration, escalations, documentation, and development of tools for premium customers. Collaborate globally with Engineering, Product, Support, and account teams.

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.

Assess product and application architectures, develop threat models, identify security risks, and guide engineering teams on remediation. Promote security culture through training, mentoring, vulnerability management, and internal security initiatives. Build security tooling, automation, patterns, and workflows that embed secure-by-design practices across engineering. Partner with product managers, designers, and engineers to secure complex, large-scale cloud systems.