Top Tech Jobs & Startup Jobs in San Francisco, CA

Build and operate large-scale reinforcement learning and pretraining systems: design and implement distributed, parallel, and GPU-optimized software; benchmark NVIDIA and AMD GPU clusters; inform compute roadmap; debug cross-system performance bottlenecks; contribute to generative and conversational AI model development and product deployment.

Customer-facing role that architects and drives security transformation on Microsoft Azure and Microsoft 365. Responsibilities include designing secure architectures (Zero Trust), implementing and evaluating Microsoft security solutions (Defender for Cloud, Sentinel, M365 Defender, AAD, Intune), running design sessions, troubleshooting implementations, and influencing product and engineering teams to improve customer security posture and adoption.

Drive technical pre-sales for cloud and AI application solutions: run demos, PoCs, hackathons, and architecture workshops; design secure, scalable cloud-native architectures; unblock technical issues; and evangelize Microsoft AI Foundry, Azure AI, and Responsible AI to accelerate customer adoption and deployments.

Customer-embedded principal data scientist who leads account-aligned engagements, translating business needs to production-grade ML/data solutions. Builds and ships end-to-end systems, influences senior stakeholders, accelerates time-to-value, mentors/hand-offs to FDE crews, and navigates complex account dynamics to deliver sustained business impact.

Customer-embedded senior technical leader driving account outcomes through hands-on engineering and technical program management. Build and ship production-grade solutions, translate business needs into technical approaches, influence senior stakeholders, and transition work to FDE crews while operating in ambiguous, fast-moving environments to accelerate time-to-value.

Lead Global Channel Sales Rhythm of Business (RoB) and Global Channel IAR, deliver executive reporting and partner performance insights, standardize MBR/QBR templates, drive sales execution transformation, tool adoption, and end-to-end sales operations including quota, territory, and partner record management.

Lead end-to-end delivery of data science and AI engagements: translate business problems into AI solutions, prepare and model large datasets, build and deploy predictive/prescriptive and generative AI applications, implement prompt engineering and fine-tuning for LLMs, present insights to senior stakeholders, and promote responsible, scalable AI practices across teams.

Lead and advise enterprise customers on migrations from Google Workspace, Exchange, File Shares, Box, and Dropbox to Microsoft 365 (EXO, ODfB, SPO). Assess requirements, design migration strategies, coordinate delivery teams and partners, manage risks and stakeholders, optimize migration throughput, and develop reusable playbooks and best practices to accelerate adoption and time-to-value.

Serve as a technical, customer-facing engineer guiding enterprise customers through onboarding, deployment, adoption, and optimization of Microsoft cloud solutions (Security, Copilot, M365, Endpoint, Identity). Remove deployment blockers, enable secure AI experiences, collaborate with architects, product and partner teams, share best practices, and drive measurable consumption and time-to-value.

Serve as a trusted advisor to C‑level Media & Entertainment customers, shape AI-led transformation use cases and multi-year roadmaps, generate early-stage pipeline, lead co-innovation with partners, enable account teams, and represent Microsoft at executive and industry forums to drive commercial outcomes.