Top Tech Jobs & Startup Jobs in Los Angeles, CA

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.

Owns the weekly Americas End-to-End Project Delivery Review, reconciling portfolio risk, schedule, capacity, and milestone data for executive decisions. Facilitates leadership reviews, manages dependencies and escalations, and improves reporting processes. Drives AI and automation adoption by building Power Platform solutions, Copilot-based agents, dashboards, and workflows. Maintains SharePoint information architecture, establishes governance and documentation, and trains teams to use automation effectively.

Lead cross-organization technical programs for Azure Specialized Compute, supporting customer cloud migrations and high-performance/GPU workloads. Drive end-to-end initiatives, mentor junior team members, and coordinate with product and engineering teams to deliver scalable compute services.

Drive strategic growth with key distribution partners by building executive relationships, leading joint business planning, and executing go-to-market strategies. Enable distributor and reseller networks on Windows and Surface offerings, drive partner readiness and demand generation, own revenue targets and KPIs, monitor sell-in/sell-through, and align cross-functional stakeholders to optimize channel performance and inventory flow.

Lead and coach a cross-discipline engineering team (software, TPM, data science) to deliver production-ready AI-enabled solutions. Own portfolio delivery, model engineering excellence as a player‑coach, partner with leaders for operational health, and champion reusable patterns, responsible AI, and hypervelocity engineering.

Lead a cross-discipline engineering team to deliver production-ready, AI-enabled solutions across the full lifecycle. Coach engineers and data scientists, manage a portfolio of engagements, act as player‑coach on select projects, strengthen multidisciplinary practices, and champion responsible, hypervelocity AI engineering and reusable accelerators.

Lead a multidisciplinary engineering and data science team in a forward-deployed model to deliver production-ready, AI-powered solutions. Own portfolio delivery, coach and develop talent, act as player‑coach on engagements, drive engineering excellence and responsible AI practices, and partner with leaders to ensure operational health and reusable accelerators.

Serve as a senior security solution architect advising enterprise customers on modern, cloud-native Microsoft security architectures. Design and validate solutions using Microsoft security products, remove technical blockers, act as SME on complex deployments, gather customer insights to influence product roadmap and map solutions to business outcomes, and support large-scale security and compliance projects.

Build software infrastructure for large language model pretraining and post-training, including benchmarking, evaluation, routing, and backend systems. Contribute to model architecture, data curation, training, inference, alignment, and RLHF. Gather insights for compute roadmaps, make data-informed architectural decisions, and deliver iterative AI products in a fast-paced environment.

Lead design and implementation of Azure full‑stack, scalable skilling platform features. Drive CI/CD, reliability, automation, and AI/LLM-enabled capabilities. Mentor engineers, enforce engineering best practices, coordinate cross-team dependencies, and improve test automation and observability for enterprise-scale services.