Top Tech Jobs & Startup Jobs in Los Angeles, CA

Leads global HR operations, shared services, HRIS optimization, data governance, employee lifecycle processes, compliance, payroll coordination, and process transformation across multiple countries. Manages HR support channels, audits, reporting, system integrations, and M&A readiness while developing shared services staff and partnering with HR, Finance, IT, Legal, and business leaders.

Supports early-career and veteran talent pipelines by building university and organizational partnerships, coordinating recruiting events, managing event logistics and materials, tracking hiring metrics, and supporting employer branding. The role collaborates with recruiters, hiring managers, career centers, and marketing teams; manages budgets and expenses; maintains partnership records; and travels 25–40% for campus events and career fairs.

Leads electrical engineering and design coordination for data center and mission-critical infrastructure projects, including new construction, retrofits, expansions, and system upgrades. Reviews electrical designs, calculations, studies, equipment submittals, and technical documentation; coordinates multidisciplinary teams; supports permitting, construction, commissioning, and closeout; manages quality, budgets, schedules, and client relationships; and mentors engineering staff.

Supports project managers with project schedules, commissioning plans, documentation, meeting minutes, punch-list management, reporting templates, budgets, profitability monitoring, and invoicing. Coordinates communication among project teams, clients, engineers, general contractors, and other stakeholders. The role requires familiarity with mechanical and electrical building systems, strong organization and communication skills, extensive travel to data center worksites, and the ability to perform physically demanding site activities.

Designs and operates production multi-agent AI systems, LLM workflows, scoring and optimization algorithms, and closed-loop autonomous processes. Responsibilities include AI model evaluation, production monitoring, governance, third-party AI integration, federated data retrieval, and identifying patentable inventions. The role requires deep machine learning expertise, algorithm development, and deployment experience across complex operational environments.

Design and deliver full-stack applications spanning user interfaces, data models, APIs, backend services, cloud infrastructure, and AI-enabled workflows. Build vector-store and RAG capabilities, deploy Azure services with Terraform and containers, and contribute to architecture, technical roadmaps, code reviews, testing, and system operations. Collaborate directly with business stakeholders to understand needs and deliver scalable, secure, enterprise-grade software. The role also involves identifying patentable innovations, preparing disclosures, and supporting patent prosecution.