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

Create and deliver high-quality technical content for executives and developer audiences: conference talks, decks, social technical content, demos, workshops, and Bay Area community programming. Partner with leaders to translate product narratives into credible technical stories and run hands-on campaigns for AI-native customers.

Lead and define technical evangelism at DigitalOcean: set standards and priorities, produce and deliver technical talks and executive content, create deep AI-focused technical assets and campaigns, and mentor other evangelists. Split time between presenting on stage and building hands-on demos, labs, and social technical content to engage AI builders and infrastructure teams.

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

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.

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.

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.