Top Tech Jobs & Startup Jobs in Los Angeles, CA

Own full-cycle recruiting for Finance and SG&A roles, including sourcing, screening, coordination, offer negotiation, and closing. Partner with Finance leaders to define hiring needs, assess accounting and finance talent, build pipelines, monitor recruiting metrics, improve processes, and deliver a strong candidate experience. Use market insights and recruiting data to support scalable, equitable hiring practices in a fast-growth environment.

Lead end-to-end experimentation pipeline for Stord Labs, coordinating robotics, AI, vendors, engineering, and operations to validate and scale logistics innovations into production pilots and enterprise rollouts, develop deployment playbooks, and manage co-funded customer pilots and executive demonstrations.

Lead the Decision Science function, designing ML models, overseeing experimentation frameworks, and ensuring model adoption across the company, driving operational and commercial improvements.

Lead cross-functional internal systems programs including tooling rollouts, migrations, automation, and SOC audit readiness. Build roadmaps, run reviews, create playbooks, manage vendors and stakeholders, and deliver projects on time with strong communication and execution.

Lead design and delivery of an egocentric video data product: capture rigs, edge processing, dataset pipelines, VLM-assisted annotation, and production-ready perception models (detection, tracking, segmentation, depth/3D reconstruction, and 6DoF pose estimation). Operate and scale warehouse capture programs and own model training, evaluation, optimization, and deployment.

Senior individual contributor owning complex end-to-end ML problems for supply chain and consumer applications. Build and deploy predictive models (demand forecasting, delivery ETA, recommendations), embed with engineering teams, define MLOps standards, and advise leadership on data science strategy and investments.

The Data Engineer will design and maintain data pipelines, enhance the data warehouse, support machine learning applications, and collaborate with various teams to leverage data effectively.

Own and operate scalable infrastructure on GCP (GKE, Cloud Run, AlloyDB); author Terraform modules; manage containerized workloads; build observability in Datadog; design CI/CD in GitHub Actions; automate operational workflows; lead incident response and post-mortems; partner with engineers to improve reliability, cost, and automation.

Lead and build a new Embodied AI data business: win initial customers, define data products, stand up warehouse capture operations, build data pipelines and quality processes, hire and lead a senior team, and own the P&L.

Lead and scale a multi-team engineering organization owning Billing, TMS, WMS, and LMS. Manage five engineering managers and a Principal Engineer, drive billing automation, deliver a standalone TMS/Parcel system, improve network LMS efficiency, and ensure WMS reliability and international scalability. Build cross-functional partnerships with Finance and Parcel, make organizational design decisions, coach managers, and prioritize technical investments to deliver measurable cost and revenue outcomes.