Top Tech Jobs & Startup Jobs in Los Angeles, CA

Develop and execute go-to-market strategies for Microsoft's Frontier Transformation priorities across the Americas. Create customer engagement motions, field enablement resources, playbooks, and activation programs that connect business outcomes with technology solutions. Lead cross-functional collaboration across Sales, Services, Marketing, Customer Success, Product, and Industry teams. Define success metrics, analyze customer and sales signals, monitor adoption, and deliver executive-ready insights to guide investment and execution.

Leads sales strategy enablement for Microsoft Security SME&C, Corporate, SMB, and partner teams. Develops sales learning paths, technical skilling programs, content, communities, and feedback systems. Measures enablement impact through KPIs, customer feedback, pipeline, adoption, usage, and renewal outcomes. Advises senior leaders, identifies readiness gaps, influences cross-functional stakeholders, and accelerates sales motions across enterprise and partner channels.

Design and implement PostgreSQL internals and indexing strategies for large-scale document workloads. Extend query engine with BSON-aware operators and custom scan nodes, optimize index pruning, profile distributed system performance, collaborate with open-source communities, and lead design/code reviews.

Leads a cybersecurity specialist sales team focused on selling cloud and security solutions, driving digital transformation, and achieving territory sales targets. Responsibilities include hiring, coaching, and developing technical sales talent; managing opportunity strategy and execution; guiding business-value selling; building partner networks; coordinating cross-organizational deployments; engaging senior stakeholders; and maintaining customer satisfaction, operational standards, sales metrics, training, and certifications.

Lead strategy to define, measure, and evolve Solution Engineer and Cloud Solution Architect excellence for Microsoft Security. Use data, AI-powered analytics, and customer insights to identify performance drivers, design capability strategies, advise senior leaders, and drive field transformation. Build governance, risk remediation, and scalable enablement programs while partnering across engineering, product, sales, and enablement to measure impact and continuously improve outcomes.

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, GPUs, PCIe, firmware, drivers, and software. Develop automation, telemetry, diagnostics, playbooks, and escalation frameworks to improve observability, operational readiness, and mean time to mitigation for large-scale AI and HPC workloads.

Drives cloud and AI adoption among digital-native technology companies by engaging executives and technical leaders, creating and closing strategic opportunities, and expanding Azure consumption. Advises customers on AI transformation, application modernization, data platforms, cloud-native development, security, and responsible AI. Develops account growth strategies, manages pipelines and forecasts, builds partner ecosystems, and collaborates with sales, engineering, and customer success teams to accelerate deployments and customer outcomes.

Lead technical ownership of InfiniBand and GPU interconnect fabric operations for hyperscale AI supercomputers. Drive incident response, deep multi-layer debugging across hardware/firmware/drivers/OS, and define failure models, playbooks, telemetry, and automation to improve reliability, observability, and scalability of GPU clusters and platform SLAs.

Design and develop software to onboard hardware accelerators and improve cluster performance for Azure Storage. Collaborate across teams, produce design documents, write and optimize code, own on-call duties, monitor and restore services, and drive reliability, observability, and scalability across the storage software lifecycle.

Design, develop, and maintain scalable AI-forward APIs, MCPs, and services for Microsoft 365. Lead features from concept through launch, write reusable code, document designs, estimate work, and support production services through on-call responsibilities. Improve reliability, performance, and scalability while mentoring engineers and establishing technical best practices across teams.