Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Leads complex Unified Support and Enhanced Solutions sales across strategic enterprise accounts. Orchestrates global virtual teams, shapes proposals, supports account planning, engages executive stakeholders, removes deployment barriers, and drives customer and partner satisfaction. Provides field feedback to improve offerings and sales motions while acting as a trusted advisor to customers and internal leadership.

Leads the architecture and delivery of secure, scalable Azure cloud and AI solutions for enterprise customers. Designs AI-powered applications, copilots, and intelligent agents; translates business needs into technical roadmaps; leads architecture reviews and technical delivery; optimizes performance, cost, and scalability; and drives Azure adoption, consumption, and measurable business outcomes through customer engagements.

Provides technical leadership for Azure SQL databases supporting a highly available Azure service. Responsibilities include database performance tuning, reliability and capacity planning, schema changes, data migrations, observability, incident response, root cause analysis, operational automation, and technical strategy. The role partners with software engineers, SREs, and architects to improve scalability, durability, cost efficiency, and long-term service reliability across teams.

Designs and develops FPGA SmartNIC networking acceleration for Microsoft Azure. Responsibilities include hardware architecture evaluation, RTL coding in Verilog/SystemVerilog, simulation, hardware testing, debugging, verification, scripting, software development, Agile collaboration, and production DevOps support. The role partners across hardware and software teams to deliver cloud networking infrastructure, including SDN capabilities, packet manipulation, and performance improvements.

Build and operate AI-powered automation, CI/CD systems, distributed services, developer tools, validation platforms, and code-intelligence capabilities. Own significant systems from architecture through production, improve engineering workflows using measurable results, scale reliable automation and delivery platforms, and integrate capabilities through APIs and MCP. Establish operational practices, participate in on-call support, conduct technical reviews, mentor engineers, and lead cross-team delivery of dependable engineering platforms.

Leads global datacenter conceptual design and strategy for building, power, cooling, telecom, controls, and infrastructure systems. Coordinates internal and external stakeholders, oversees multiple concurrent design projects, evaluates operational and implementation impacts, resolves complex technical challenges, develops schedules and business cases, and advises leadership on scalable, innovative datacenter solutions. The role also supports technical documentation, intellectual property development, industry analysis, and cross-group collaboration.

Design, build, and operate AI-powered automation, CI/CD systems, distributed services, developer tooling, and code-intelligence platforms. Own significant capabilities from architecture through production, improve engineering workflows using measurable evaluations, scale reliable automation and delivery systems, and operate secure multitenant services. Lead technical reviews, define reliability practices, integrate platforms through APIs and MCP, mentor engineers, and drive ambiguous technical problems to dependable production outcomes.

Design and implement PostgreSQL internals and indexing/query features for large-scale document workloads, extend query engine with BSON-aware operators and custom scan nodes, tune index pruning and storage, profile distributed systems for performance, collaborate with open-source DocumentDB/PostgreSQL communities, and participate in design/code reviews.

Own operations and reliability for hyperscale Azure GPU clusters and interconnect fabrics. Lead production incident triage, mitigation, recovery, root-cause analysis, and cross-stack debugging across hardware, PCIe, GPUs, firmware, drivers, and software. Develop automation, telemetry, diagnostic tools, operational playbooks, and escalation procedures to improve observability and reduce mitigation time. Partner with engineering teams and manufacturers to resolve systemic issues affecting AI training stability, GPU availability, and customer SLAs.

Lead commercial strategy, deal-making, and complex negotiations for Microsoft’s strategic U.S. customers. Develop commercial and account plans, optimize pricing and concessions, manage renewals, and align customer, partner, and internal stakeholders. Build trusted relationships while ensuring compliant, profitable deal execution and supporting revenue, quota, and consumption targets. The role requires strong sales and negotiation expertise, strategic thinking, and knowledge of Microsoft licensing and contracting programs.