Top Tech Jobs & Startup Jobs in San Francisco, CA

Lead technical pre-sales engagements to design secure, scalable, sovereign Azure architectures for Frontier AI transformation. Drive migrations (Windows, Linux, Oracle), hybrid networking, PoCs, pilots, and modernization using containerization and Azure-native services to enable production deployments and compliance.

Define and drive identity and security operations strategy at the intersection of Identity and AI. Assess risks, threat-model roadmaps, build SOC/SIEM-ready detection frameworks for AI-enabled and machine identity workloads, identify capability gaps, incubate new security approaches, and influence engineering and security teams to implement scalable security capabilities.

Lead data science strategy across complex customer engagements: frame business problems, define modeling and data readiness standards, produce reusable operational ML patterns, provide hands-on coding and MLOps expertise, mentor teams, and influence executive stakeholders to drive measurable business impact and responsible AI practices.

Provide proactive and reactive cloud security architecture and support for mission-critical Azure and identity solutions. Deliver assessments, workshops, incident troubleshooting, optimization, and customer success planning while collaborating with internal support, engineering, and account teams.

Design, implement, and optimize distributed training infrastructure and telemetry for large-scale GPU clusters. Profile, benchmark, and debug performance across compute, memory, networking, and storage. Improve fleet-wide efficiency through tooling, architectural changes, and collaboration with ML researchers and hardware teams to support next-generation accelerators and large-scale generative AI workloads.

Lead design and implementation of ONNX, ONNX Runtime, and on-device inference (Foundry Local). Provide technical leadership, write design documents, mentor engineers, own cross-product dependencies and release plans, act as DRI and on-call for reliability, and drive performance, observability, and operational consistency at scale.

Design, implement, test, and maintain cloud-scale services for security-critical, regulated environments. Build security, compliance, and reliability features, respond to incidents, participate in on-call rotations, apply secure-by-design practices, and collaborate with cross-functional teams to ensure operational excellence.

Lead mid-market Cloud & AI solution sales: guide customers through cloud, data, and AI transformations; manage pipeline from prospecting to close; scope proofs of concept; build business cases using pricing/ROI/TCO tools; coordinate cross-functional teams and partners to drive consumption and deployment.

Lead consultative sales engagements to plan, orchestrate, and close AI Workforce opportunities (M365 Copilot and related solutions). Develop stakeholder networks, drive business value conversations, collaborate with internal teams and partners to cross-sell/up-sell, and act as a subject matter expert on AI Workforce adoption and deployment.

Customer-facing Cloud Solution Architect who designs and deploys secure, scalable, AI-ready data platforms on Azure. Leads architecture sessions, proofs-of-concept, and production deployments, ensuring performance, resiliency, and security. Drives adoption, identifies expansion opportunities, enables partners, contributes to IP and technical readiness, and represents Microsoft in technical communities and events.