Top Tech Jobs & Startup Jobs in Los Angeles, CA

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.

Leads complex commercial sales and negotiation activities for strategic accounts, driving revenue, cloud adoption, renewals, upsells, and partner growth. Develops commercial and account plans, structures proposals and contracts, negotiates terms, manages pricing and deal execution, and coordinates cross-functional sales teams. Ensures compliance with company policies, regulatory requirements, and ethical selling standards while assessing contractual, profitability, legal, and channel risks. Coaches sales teams and uses AI-enabled analysis to improve opportunity planning and deal outcomes.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers to translate requirements into technical designs, drive engineering best practices (CI/CD, testing, observability), deliver end-to-end solutions, lead technical workstreams, and apply AI/LLM approaches where appropriate to produce production-ready outcomes.

Embed with strategic customers to lead end-to-end technical programs, applying AI-assisted engineering to accelerate delivery. Coordinate cross-functional teams, make data-driven decisions, manage risks, and cultivate reusable solution patterns and playbooks to scale impact.

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.