Top Tech Jobs & Startup Jobs in San Francisco, CA

Design, implement, test, and operate production-quality AI framework components, benchmark and optimize large-model training and inference on GPUs and Microsoft silicon, build automation and observability, drive cross-team projects from definition through deployment, and mentor engineers to improve model onboarding, performance, reliability, and platform efficiency.

Develop and operate cloud-native container orchestration and AI infrastructure for Azure Kubernetes Service. Responsibilities include advancing Kubernetes capabilities, improving service reliability and engineering velocity, automating incident prevention and remediation, integrating AI tools, and building observability systems. The role focuses on distributed systems, containers, Kubernetes, Linux, site reliability engineering, and scalable AI workloads across cloud and edge environments.

Designs, builds, and deploys AI agents and enterprise solutions across Microsoft AI Business Solutions and Azure. Partners with Microsoft customers and partners on technical pre-sales, architecture, production readiness, value quantification, and ROI. Creates reference architectures, sample agents, workshops, bootcamps, and enablement content while mentoring architects and facilitating technical sessions. Collaborates with product, field, marketing, and skilling teams to advance partner AI practices and deliver outcome-based transformation solutions.

Leads strategic and complex federal programs from pursuit through delivery. Coordinates Sales, architects, delivery teams, partners, and government stakeholders; manages project plans, governance, risks, dependencies, compliance, financials, resources, and customer communications. Supports deal shaping, contracting, staffing, and successful project transitions. Coaches project leaders, promotes operational excellence, and ensures predictable delivery, profitability, customer satisfaction, and team effectiveness across concurrent engagements.

Drive strategy and execution for AI-based data and collaboration platforms supporting Microsoft’s cloud supply chain. Define product vision, prioritize requirements, manage feature delivery, evaluate platform performance, and coordinate engineering, stakeholders, external partners, suppliers, and system integrators. Ensure products meet business objectives and are delivered within scope, budget, and schedule while enabling governed data and agentic AI capabilities.

Leads cross-organizational technical programs connecting enterprise customer needs, field insights, and engineering execution across Microsoft’s security portfolio. Defines roadmaps, metrics, dependencies, and accountability; translates customer issues into engineering improvements; drives adoption, deployment readiness, and product usability. Uses operational data, SQL, telemetry, and reporting tools to establish decision systems, while coordinating cloud, infrastructure, identity, endpoint, data, and security dependencies across teams.

Manages strategic government customer accounts, develops multi-year account plans, expands executive relationships, and drives high-volume cloud sales. Leads cross-functional teams, identifies new opportunities, presents Microsoft value propositions, and supports digital transformation initiatives. Requires active U.S. Government Top Secret clearance, U.S. citizenship verification, and recurring Microsoft Cloud background checks.

Lead strategic sales initiatives for Microsoft’s Global Enterprise Sales COO Office. Translate priorities into execution plans, coordinate cross-functional stakeholders, improve sales planning and operating models, monitor program adoption and revenue metrics, and recommend actions that improve enterprise sales outcomes. Partner with sales, finance, strategy, platform, and regional teams to resolve trade-offs, activate priorities, and drive scalable operational improvements without direct authority.

Design, deploy, operate, and troubleshoot secure Azure GPU infrastructure for distributed AI training and reinforcement-learning workloads. Build infrastructure-as-code, fleet automation, remediation, drift detection, and model deployment capabilities. Translate ambiguous research needs into scalable production solutions, drive architecture and security tradeoffs across teams, and mentor engineers through technical collaboration, design reviews, and code reviews.

Leads product analytics strategy across Xbox Console, PC, Store, and Platform experiences. Establishes metrics and measurement frameworks, identifies growth opportunities through advanced analytics and machine learning, directs experimentation and causal inference, builds reusable analytical and AI-enabled capabilities, improves telemetry and measurement infrastructure, and mentors data scientists while influencing senior leaders and portfolio investment decisions.