Top Tech Jobs & Startup Jobs in San Francisco, CA

Lead end-to-end technical program management for partner experience platforms: define scope and roadmap, align cross-functional teams, influence architecture and delivery, measure outcomes via telemetry, manage vendors and risks, ensure compliance (privacy, accessibility, security), and drive portfolio prioritization and AI-enabled insights to improve partner experiences and business outcomes.

Drive customer-facing AI and cloud solutions: acquire and prepare data, build and evaluate scalable models, write extensible code, research industry trends, define solution strategy, and collaborate with cross-functional teams and customers to deliver high-impact engineering projects.

Lead sales for Cloud and AI platform solutions, engage and qualify enterprise customers, drive co-selling with partners, manage pipeline and forecasting, and advise customers on AI-driven modernization and secure cloud adoption to accelerate consumption and renewals.

Lead technical delivery as an account-aligned, customer-embedded engineer: design and ship production-grade solutions, translate business needs to technical approaches, influence senior stakeholders, mentor FDE teams, and operate with urgency in ambiguous, fast-moving environments.

Lead consultative, value-driven sales to plan, orchestrate, and close enterprise AI Workforce transformations using Microsoft Copilot and related AI solutions. Build stakeholder networks, drive pipeline, cross-sell/up-sell, and guide technical and business decision-makers to adopt AI-powered productivity at scale.

Design, build, and optimize high-performance, low-latency networking infrastructure for large-scale AI training on Azure. Benchmark and improve scalability and reliability, debug complex network issues, write and refactor code, author design documents, act as DRI and on-call, and drive observability and performance improvements for distributed systems.

Lead product marketing for Microsoft AI Content: own product narrative, articulate AI principles and quality guardrails, define audience and format strategies globally, partner with Sales on positioning and revenue, shape internal/external communications, and act as a cross-functional steward to align product intent, market understanding, and execution.

Lead enterprise security architecture and strategy using Microsoft security solutions. Design, validate, and implement cloud-native security architectures, remove technical blockers, support large S500 customers, author voice-of-customer guidance, and influence product roadmaps and CSU IP development to accelerate secure customer adoption.

Provide technical pre-sales support for Azure cloud and AI infrastructure: design secure, scalable architectures, lead workshops and demos, enable migrations (Windows, SQL, Linux, PostgreSQL, Oracle), advise on containerization (AKS), hybrid networking, partner integrations, and drive Azure adoption with customers and partners.

Design and lead secure, scalable Azure infrastructure and AI-ready architectures. Drive migration, modernization, and operational excellence using CAF and WAF. Partner with sales and engineering, resolve technical blockers, deliver repeatable IP, and enable production-scale AI workloads across hybrid and enterprise environments.