Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design end-to-end product features bridging digital and physical experiences. Lead discovery, wireframing, high-fidelity prototyping, and developer handoff. Conduct user research and usability testing, maintain the design system, collaborate with PMs and engineers, and iterate using analytics and customer feedback.

Design, build, and maintain scalable backend services in Java/Scala integrating hardware and ML. Implement gRPC APIs, use Redis/MySQL/PostgreSQL, deploy microservices on Kubernetes, and build event-driven pipelines with Kafka. Collaborate with hardware, ML, and operations teams to optimize performance, reliability, and scalability.

Build and review deal proformas and underwriting models, quantify Metropolis technology impact, stress test asset performance, automate workflows, and deliver cross-functional analyses to inform pricing, margin, and GTM strategy.

Lead design, build, and management of security infrastructure across AWS and OCI; drive enterprise network security, VPNs, WAF, zero-trust, segmentation, and identity/access controls; develop IaC and automation, run vulnerability management, detection engineering, and incident response; partner with IT and engineering teams.

Design, build, and operate central cloud infrastructure on AWS; improve reliability, scalability, and automation; own CI/CD, observability (Datadog), and tooling; collaborate with engineering teams to deploy and secure services.

Serve as primary relationship manager for airline clients and vendor couriers, overseeing day-to-day operations, SLAs, and escalations. Produce QBRs and performance reports, leverage data and AI to improve logistics and ETA accuracy, partner with Product and Engineering on feature requests, and optimize vendor courier networks to drive operational efficiency and customer satisfaction.

Serve as primary relationship manager for airline clients and vendor couriers in baggage logistics. Oversee day-to-day vendor operations, enforce SLAs, lead QBRs, translate data into insights, handle escalations, and partner with Product and Engineering to implement AI-driven operational improvements.