Top Tech Jobs & Startup Jobs in San Francisco, CA

Lead cross-functional initiatives for Azure Capacity Management, improving operational processes, automation, reporting, governance, and workflow execution. Partner with Engineering, Finance, Product, and Business Operations to address ambiguous customer and business needs, reduce manual effort, identify trends, and implement scalable operating mechanisms that improve decision-making and organizational performance.

Lead strategic Azure capacity management programs connecting customer demand, regional health, infrastructure supply, and business priorities. Translate customer and operational needs into product requirements, analytics, AI-enabled workflows, automation, governance, and investment recommendations. Partner across engineering, supply chain, finance, sales, support, and customer success to improve time-to-capacity, customer satisfaction, utilization, and regional health. Represent customer needs in executive forums and influence roadmaps without direct authority.

Manage Azure capacity planning and supportability for first-party services across prioritized regions. Monitor customer experience metrics, operational data, and scorecards to identify risks and improvement opportunities. Coordinate with engineering, product, infrastructure, forecasting, and customer-facing teams to resolve capacity blockers, improve planning systems and workflows, and optimize resource allocation. Use analytics and customer signals to support data-informed decisions and improve customer outcomes.

Conduct hands-on post-training research for open-weight language models used in cybersecurity. Develop datasets, training objectives, supervised, preference-based, and reinforcement-learning methods; build reproducible pipelines; evaluate model performance, generalization, and security; investigate recursive self-improvement; and deliver trained model artifacts and workflows for red-team partners.

Lead strategic enterprise customers through AI and security transformations by translating business priorities into Microsoft technology strategies and roadmaps. Build trusted relationships with C-level technology executives, orchestrate Microsoft and partner teams, guide technical governance, support consultative selling, and drive customer adoption, business outcomes, and account growth through secure AI solutions.

Leads applied research on adversarial AI agents and coordinated swarm behavior. Builds instrumented security environments, analyzes behavioral signatures and provenance, and develops methods to detect, attribute, interrupt, and contain offensive agent swarms. Stress-tests defenses across models, tools, and operating conditions, identifies evasion paths, and produces reproducible evaluation assets and security guidance for red-team and defense partners.

Develop and optimize GPU kernels, compilers, runtimes, and distributed inference systems for high-performance LLM serving. Profile workloads, improve latency, throughput, reliability, and hardware efficiency, and integrate optimizations into production systems. Principal-level engineers lead cross-stack performance initiatives and create reusable capabilities across models and hardware. The role also involves collaboration across model, infrastructure, research, and hardware teams, technical mentoring, and raising engineering standards.

Leads cost management and estimating for Microsoft's air-gapped cloud infrastructure portfolio. Establishes estimating standards, cost models, governance, forecasting, EAC, cash-flow, risk, benchmarking, and construction cost controls. Partners with engineering, design, construction, procurement, finance, security, and program management teams. Presents executive cost insights, leads portfolio governance, and recruits and develops a team of cost-management professionals.

Own the Azure Data and Database customer experience portfolio, translating customer, operational, telemetry, and capacity signals into strategic improvements. Define governance, prioritization, escalation, and risk-management mechanisms; transform manual processes into scalable, system-led and AI-assisted workflows; and align engineering, product, capacity, field, support, and business teams. Communicate strategy, tradeoffs, risks, and recommendations to senior stakeholders while improving Azure capacity reliability, operational efficiency, and customer outcomes.

Lead architecture and roadmap for Azure PostgreSQL systems; design and review extensible, maintainable code; prototype and implement database engine features (query processing, transaction logging, storage, versioning, IO, scale-out); contribute to open-source PostgreSQL/Linux; operate production services including rotational on-call support.