Top Tech Jobs & Startup Jobs in San Francisco, CA

Lead a technical team helping customers adopt Azure cloud infrastructure for AI-ready solutions. Build relationships with IT decision-makers, own customer success pipeline, run architectural design sessions, apply Azure Cloud Adoption and Well-Architected Frameworks, guide migrations and resiliency strategies, resolve go-live blockers, and relay customer feedback to Microsoft engineering and product teams.

Leads consultative sales and customer transformation strategies for AI-powered workforce solutions. Identifies and develops strategic opportunities, builds executive stakeholder relationships, assesses business and technology needs, presents solution value propositions, and orchestrates internal teams and partners to close opportunities. The role also drives cross-selling, up-selling, competitive planning, account analysis, and adoption of Microsoft AI productivity products.

Leads strategy and execution for a Microsoft commercial solution area, coordinating executive business rhythms, cohort steering committees, product marketing, sales, field teams, and go-to-market stakeholders. Drives action-item ownership, decision-making, voice-of-field insights, executive meeting agendas, summit content, and product announcement launches. Builds trusted senior relationships and delivers measurable outcomes through strategic influence, business acumen, and technical understanding.

Lead consultative sales and customer engagements for AI Workforce solutions, including Microsoft 365 Copilot, Copilot Studio, agents, and frontline-worker offerings. Develop account strategies, identify opportunities, orchestrate internal teams and partners, present business value and technical solutions, support cross-selling and upselling, and guide customers through AI adoption and transformation. Build stakeholder relationships, assess customer priorities and budgets, conduct competitive analysis, and drive opportunities through closure.

Embed with strategic customers to lead complex AI-, cloud-, and data-powered technical programs from problem definition through co-engineering delivery. Drive decisions, manage ambiguity and risks, use AI-assisted engineering tooling, and scale reusable solution patterns across multidisciplinary teams to deliver measurable business outcomes.

Develops and optimizes Azure HPC and AI infrastructure software supporting GPU-based training and inference workloads. Responsibilities include analyzing hardware/software integration and performance issues, coding solutions, debugging and refactoring, improving platform stability and scalability, supporting on-call operations, creating issue-resolution playbooks, and collaborating with Microsoft teams and industry partners. The role focuses on device virtualization, GPU workload performance, test-driven engineering, and reliable cloud service delivery.

Design and lead enterprise data and GenAI architectures, translate business outcomes into scalable secure solutions, drive migration/modernization, define GenAI/Copilot/RAG patterns, establish MLOps/LLMOps, ensure Responsible AI and governance, and act as trusted technical advisor across presales to production.

Provides executive administrative and operational support to SDP leaders, including complex calendar and travel management, meeting and event planning, rhythm-of-business coordination, project execution, budgets, procurement, recruiting, onboarding, and headcount processes. The role requires discretion, sound judgment, cross-functional coordination, process improvement, executive presence, and mentoring of business support colleagues.

Principal Security Architect responsible for assessing productivity security risk, analyzing systems and telemetry, developing reusable security patterns and tooling, and partnering with engineering teams to deploy capabilities. The role prioritizes security work, communicates risk and tradeoffs to technical and nontechnical stakeholders, and creates roadmaps amid incomplete and changing information.

Provides technical consulting and delivery for federal customers, helping expand adoption of Azure and Microsoft technologies. Implements cloud solutions, participates in customer engagements, identifies risks, follows Microsoft processes, and supports business development, readiness, compliance, and intellectual property management. Requires an active U.S. Government Top Secret/SCI clearance and U.S. citizenship, with preferred experience in Azure deployment, Terraform, networking, CI/CD, Zero Trust, IAM, and DevSecOps.