Top Tech Jobs & Startup Jobs in Los Angeles, CA

Owns day-to-day people operations across the employee lifecycle, including HRIS implementation and administration, payroll coordination, benefits, multistate leave, compliance, reporting, and employee support. Builds scalable workflows, procedures, automation, and resources while managing broker and carrier relationships. Partners with leadership to improve benefits and employee experience, maintain accurate people data, and implement efficient systems and processes.

Develops, organizes, audits, and maintains internal and external customer experience content, including Salesforce knowledge bases, guides, macros, communications, and self-service resources. Partners with Training, Quality, Operations, Product, Marketing, and Legal teams to ensure accurate, accessible, searchable, and brand-aligned content. Manages content requests, supports feature and campaign updates, optimizes knowledge-base performance, and reports improvement opportunities to CX leadership.

Serves as a strategic people partner to leaders across Roadie, owning employee relations, investigations, performance management, manager coaching, compliance, talent management, job architecture, engagement initiatives, and people analytics. Supports onboarding, benefits administration, HR systems, and day-to-day People Operations while helping scale programs and organizational effectiveness.

Design, build, and maintain scalable backend services and infrastructure for Roadie’s logistics platform. Identify performance bottlenecks, improve reliability, collaborate with Product, Data Science, and engineering teams, contribute to code reviews and technical practices, and own projects from concept through production.

Build and maintain full-stack web applications, APIs, services, and internal tools supporting driver experiences, geospatial capabilities, cross-dock operations, and logistics platforms. Develop primarily with React, TypeScript, Go, and Ruby on Rails while contributing to scalable architecture, testing, reliability, performance, code reviews, and cross-functional delivery with Engineering, Product, and Operations teams.

Build and maintain automated test infrastructure for data-science microservices, design and run test strategies, troubleshoot automation across environments, validate fixes, and collaborate with engineers to ensure reliable, scalable data products and ML model testing.