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

Develop and operate high-throughput, low-latency telemetry pipelines and cloud services for Azure AI/HPC infrastructure. Build observability, monitoring, analytics, and automation capabilities; own architecture through deployment and operations; and lead incident response, root-cause analysis, reliability improvements, and operational readiness. Partner across engineering and platform teams, influence technical roadmaps, mentor engineers, and apply distributed systems, AI infrastructure, and cloud operations practices at hyperscale.

Own customer-facing technical and business relationships for AI Business Process solutions. Advise customers on Dynamics 365, Power Platform, and Copilot Studio architecture, implementation, governance, performance, cost efficiency, and operational health. Lead architecture sessions, proof-of-concept development, legacy modernization, technical issue resolution, and partner collaboration to accelerate adoption and customer outcomes.

Build and optimize distributed systems supporting large-scale reinforcement learning, LLM post-training, inference, and production AI workloads. Develop reliable platform services, improve researcher iteration loops, debug model-hardware interactions, optimize performance, and enhance observability, security, scalability, and operational reliability. Participate in architecture, coding, incident response, deployment planning, and on-call support. Required qualifications include a technical bachelor’s degree or equivalent experience and at least two years of software engineering experience.

Lead delivery and orchestration of Customer Success Contracts, build executive and technical customer relationships, align Microsoft cloud solutions (Azure, Modern Work, Dynamics, M365) to business outcomes, drive adoption and consumption, run program planning and reviews, mitigate blockers, manage escalations, and enable long-term retention and growth across enterprise accounts.

Leads post-sale customer success for strategic enterprise accounts using Microsoft cloud products and services. Builds stakeholder relationships, aligns customer success plans with account priorities, coordinates delivery across Microsoft and partners, conducts program reviews, tracks cloud adoption and consumption, and identifies retention risks. Partners with technical and account teams to accelerate customer business outcomes and transformational cloud initiatives.

Sells Microsoft Security solutions to enterprise, regulated, and partner-services customers. Builds senior customer relationships, identifies security opportunities, develops business cases, leads virtual teams and partners, manages territory pipelines, forecasts sales, and drives licensing, consumption, cross-sell, and upsell growth. Requires technology-related sales or account management experience, with preferred experience in security sales, solution sales, Microsoft Security products, cloud security, and related certifications.

Lead technical sales and customer engagements for Azure cloud, database, sovereign cloud, SAP, and AI solutions. Design secure, scalable architectures; conduct demos, proofs of concept, hackathons, and architecture workshops; resolve technical blockers; guide migrations and modernization; influence technical decisions; and help customers integrate agentic AI into development and deployment workflows.

Lead architecture, development, and delivery of Azure SmartNIC and networking software, including RDMA, virtualization, hardware offloads, and high-performance networking. Collaborate across hardware, firmware, silicon, and cloud teams; improve reliability and performance using telemetry; guide platform strategy; troubleshoot production systems; and provide technical leadership through design reviews, mentoring, and incident response.

Drive technical sales for Microsoft’s cloud and AI data platform through demos, proofs of concept, hackathons, and architecture workshops. Advise enterprise customers on secure, scalable database and analytics architectures, migrations, and deployments. Build relationships with platform leaders, resolve technical blockers, collaborate with engineering, and promote Azure data technologies including Fabric, Databricks, Purview, and Azure databases.

Design, implement, and optimize low-level software for Azure HPC/AI VMs. Diagnose HW/SW integration and performance issues, drive cross-team solutions, maintain service stability, and develop operational playbooks.