Top Tech Jobs & Startup Jobs in Los Angeles, CA

Designs, develops, tests, deploys, monitors, and operates large-scale distributed cloud services for Azure Arc. Builds software across agents, Kubernetes environments, and globally distributed Azure services using languages such as C# and Go. Responsibilities include automation, debugging, performance optimization, reliability improvements, telemetry, live-site operations, and cross-team collaboration. The role requires participation across the full software development lifecycle and ownership of features from design through production support.

Leads cybersecurity competitive strategy and execution, including deal coaching, competitive positioning, win/loss analysis, compete playbooks, field enablement, and cross-functional recommendations for sales, product, engineering, marketing, and partner teams. The role focuses on Google Security, Mandiant, Wiz, and Microsoft Security competitive scenarios, translating market and customer insights into scalable go-to-market motions and product strategy.

Leads architecture and development of Azure Storage table, metadata, and indexing systems at massive cloud scale. Designs distributed-system primitives for partitioning, indexing, transactions, consistency, replication, caching, and high-performance data access. Drives architectural decisions, prototypes innovations through production, and improves performance, scalability, reliability, and cost efficiency. Requires deep expertise in distributed storage, databases, or large-scale systems.

Manage visual storytelling and amplification for Microsoft Stories and corporate communications. Produce or direct multimedia assets, oversee visual strategy, design web layouts in content management systems, and create social media and digital distribution plans. Coordinate with global internal and external stakeholders, including writers, editors, producers, journalists, influencers, and partners. Optimize content reach and engagement while experimenting with emerging formats, AI, and evolving online news workflows.

Leads Microsoft’s end-to-end technology strategy for a complex global manufacturing account. Develops enterprise architecture, AI, data, cloud, cybersecurity, modernization, manufacturing, and resilience roadmaps; advises C-suite executives; orchestrates Microsoft, partner, engineering, and specialist teams; and shapes strategic transformation opportunities from initial strategy through deployment, adoption, and business value realization.

Lead end-to-end operations for large-scale AI training supercomputers, coordinating engineering, datacenter, business, and customer teams. Manage infrastructure availability, training reliability, incident response, repair and recovery, maintenance, operational readiness, SLAs, and customer commitments. Identify operational risks, lead recovery from complex issues, and convert lessons learned into scalable improvements in observability, automation, tooling, and fleet operations.

Lead the long-term strategy, roadmap, and cross-organizational execution for AI agent and skill authoring across Microsoft Copilot products. Define platform direction, lifecycle capabilities, governance, metrics, and investment priorities while aligning engineering, design, marketing, executives, and partners. Use customer research, telemetry, market intelligence, experimentation, and AI-assisted insights to drive adoption, reliability, responsible AI, and enterprise-scale outcomes.

Leads Microsoft customer commercial strategy, negotiations, deal execution, revenue growth, and compliance. Develops pricing and negotiation strategies, aligns Sales and Finance stakeholders, proposes commercial solutions, addresses customer concerns, and builds trusted executive-level relationships. Analyzes financial and commercial risks, identifies opportunities for offerings such as Copilot, and manages complex licensing and commercial agreements.

Deliver proactive and reactive support for mission-critical Azure solutions. Assess and improve customer solution health, performance, availability, and resilience; troubleshoot critical incidents; provide technical guidance and workshops; and collaborate with support, account, engineering, and customer teams. Manage Azure opportunities, participate in on-call rotations, strengthen customer relationships, communicate service offerings, and drive continuous delivery improvements.

Design, implement, and operate production-quality AI framework components, benchmark and optimize large model training and inference across GPUs and Microsoft hardware, build automation and observability, drive cross-team projects from definition to deployment, and provide technical leadership and mentorship for improvements in performance, reliability, and model onboarding velocity.