Top Tech Jobs & Startup Jobs in San Francisco, CA

Orchestrates go-to-market strategy and field readiness across industry, product marketing, engineering, and sales teams. Owns launch sequencing, seller materials, cohort alignment, and field landing to ensure announcements are actionable, consistent, and ready for customers and sellers.

Owns the technical product strategy for interactive learning labs, focusing on lab architecture, reliability, security, and engineering efficiency. Partners with Microsoft engineering and lab hosting vendors to define requirements, prioritize roadmaps, reduce build and publish friction, and scale on-demand learning. Uses metrics and telemetry to improve lab health, provisioning success, defect rates, support burden, and cost per lab hour.

Design, build, and operate telemetry and data pipelines to monitor flagship supercomputers at scale. Troubleshoot and mitigate incidents, improve observability and runbooks, author postmortems, and implement systemic solutions to improve availability, reliability, and performance for HPC and AI infrastructure.

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 design and implementation of Business Continuity/Disaster Recovery solutions for the support ecosystem. Define BCDR scenarios and requirements, create playbooks, run outage drills, coordinate cross-functional stakeholders, partner with engineering on roadmaps, manage schedules and risks, define success metrics, and drive adoption and continuous improvement.

Drive technical sales through demos, PoCs, hackathons, and architecture workshops; co-design secure, scalable cloud database and analytics solutions; resolve technical blockers with engineering; guide migrations from on-prem to Azure; maintain deep product knowledge and represent Microsoft in community forums.

Drive cross-organization technical programs for Azure Specialized Compute, support key customers and partners, manage complex projects end-to-end, mentor junior team members, and partner with Product Management to scale HPC and GPU-accelerated cloud offerings.

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.

Partner with account and cross-functional teams to shape and accelerate strategic enterprise deals. Own Balance of Trade (BoT) strategy, align investments and suppliers, translate financial and procurement data into executive narratives, drive trade-off decisions, improve BoT tooling and analytics, and scale repeatable deal playbooks to optimize Microsoft outcomes on high-impact opportunities.

Drive strategic growth with distribution partners for Windows and Surface by building executive relationships, leading joint business planning, enabling distributor and reseller readiness, owning revenue targets and KPIs, and coordinating cross-functional execution to expand cloud and AI adoption and deliver business outcomes.