Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead and coach a software engineering team owning mission, execution, code quality, and morale. Partner with product managers on roadmaps, remove roadblocks, improve processes, and drive innovation across high-traffic full-stack and data applications.

Lead SMB revenue operations strategy and execution, manage and coach a team of analysts, prioritize and deliver cross-functional GTM projects, optimize processes and systems, and rapidly resolve operational issues to enable scalable revenue growth.

Build scalable data processing and exploration pipelines, ML infrastructure, and cloud-based applications. Write, test, instrument, and deploy software in Kubernetes environments while contributing to distributed systems and data-driven products. The role focuses on Python, big data technologies, containerization, and systems supporting marketplace intelligence.

Lead design, development, and productionization of advanced ML models and data pipelines. Drive architecture, experimentation, validation, and best practices while mentoring ML engineers and delivering scalable, business-driving AI solutions.

The role involves building data processing pipelines, deploying cloud technologies, and writing code in a Kubernetes environment, focusing on big data technologies.

Design and implement machine learning models to solve business problems, analyze data for insights, and optimize model performance.

Lead a Big Data Engineering team to deliver production-grade ETL and data pipelines at scale. Own team execution, code quality, morale, and roadmap execution with product managers. Remove roadblocks, coach and develop engineers, promote engineering best practices, and enable data-driven and AI-powered product features (personalization, recommendations, search, ranking, matching).

Lead a Machine Learning engineering team owning mission, execution, morale, and code quality. Partner with product to deliver roadmap, remove roadblocks, improve processes, coach and grow engineers, and drive development, deployment, and innovation of ML models for recommender, search, and matching systems.

Lead one or more engineering teams owning mission, execution, code quality, and morale. Partner with product managers on roadmaps, remove roadblocks, improve processes, coach and grow engineers, and drive innovation while delivering high-traffic full-stack or data applications at scale.

Design and implement scalable web applications while raising engineering innovation standards. Communicate technical solutions to diverse stakeholders and collaborate with teams to deliver products.