Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

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 benchmarking and performance optimization for AI inference at GPU/kernel levels. Solve memory bandwidth and compute bottlenecks, implement quantization and parallelization (multi-node), advise on hardware/software stacks, mentor engineers, and collaborate to ship high-performance inference features.

Build and own GTM enablement: run AE onboarding and certification, create pitch decks and talk tracks, coach AEs live and on recorded calls, manage enablement content and cadence, and partner with Rev Ops, Product, PMM, Sales, and Marketing to align training with product and GTM priorities.

Lead strategic partnerships with AI model developers and cloud technology providers. Identify opportunities, define partnership playbooks, negotiate complex commercial agreements, and coordinate cross-functional transitions to Product and GTM teams to drive platform growth and AI-enabled product innovation.

Lead design and roadmap for next-generation data center architectures. Own MEP, cooling, and power topologies (including 800VDC and liquid systems), run PoCs, guide site selection, scale pilots into global standards, mentor engineers, and represent the company externally.

The role involves guiding customers through Kubernetes migrations, optimizing cloud architectures, and collaborating with various teams to enhance customer success and product development.

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.

Lead assessment and mitigation of security risks in the virtualization stack. Build threat models, rubrics, and defenses; partner with kernel, virtualization, and provisioning teams to design and implement mitigations; mentor engineers, manage vulnerability backlog, and promote security best practices across product teams.