Top Tech Jobs & Startup Jobs in Los Angeles, CA

This position trains transitioning service members in talent acquisition through hands-on experience in candidate sourcing, engagement, and ATS management, alongside job posting and compliance tasks.

Seeking a Senior Software Engineer to design and build a microservices-based SaaS platform, focusing on Java and AWS technologies while ensuring robust deployment and customer satisfaction.

Analyze large marketing datasets, build predictive models for segmentation, pricing, and demand forecasting, support targeted campaigns and retention, partner with product and marketing, apply statistical and ML methods, ensure data quality with engineering, and communicate insights to stakeholders to drive conversion and retention improvements.

The CHRO will lead HR strategies, oversee talent management, staffing, employee development, and ensure compliance with laws. This role involves advising executives on HR trends, policies, and promoting a diverse workplace.

Lead FP&A activities including budgeting, forecasting, variance and cash forecasting analysis, management and investor reporting, cost accounting, audits, and financial controls; partner with senior leadership and project controls.

MakeInfinite Labs is seeking developers and engineers who are eager to learn and grow. Applicants can submit resumes for future opportunities.

Remote video editor who transforms raw footage into snappy, high-energy social videos for TikTok, YouTube and other platforms. Adds music, on-screen text, effects, and pacing to maximize viewer engagement; familiarity with current platform trends is a plus.

The Procurement Manager is responsible for purchasing goods and services, managing vendor relationships, preparing bid packages, and tracking procurement for projects.

The role involves shaping product marketing narratives and managing community engagement through AI tools, while catering to the needs of government procurement officers and suppliers.

Build and extend Kubernetes orchestration for AI inference: implement CRDs/controllers in Go, design high-performance ingress/load-balancing, implement GPU-aware autoscaling (HPA/VPA), tune scheduler/resource management, and ensure HA for platform components.