Top Tech Jobs & Startup Jobs in Los Angeles, CA

As a Senior Software Engineer, you will work across the stack to create scalable and reliable systems for tracking freight intelligence, influencing architecture, mentoring, and collaborating with various teams.

As a Customer Support Representative at GenLogs, you will provide operational support, resolve user issues, and assist with onboarding and retention. You'll communicate via email and Google Meet, documenting interactions and collaborating with other teams for seamless customer experience.

The Customer Success Manager will manage a $3 million ARR book of business, focusing on customer adoption, satisfaction, and retention in the insurance sector. Responsibilities include onboarding, training, conducting reviews, and collaborating with internal teams for user support. Regular travel for customer meetings and conferences is required.

Lead product strategy and execution for a B2B SaaS platform, focusing on autonomous solutions and team development while leveraging big data and AI.

The Director of Product will lead the Insurance Vertical, developing AI-driven data products for insurers, focusing on risk intelligence and fraud detection.

Lead the product strategy for the Shippers Vertical, transforming freight data into operational intelligence, while collaborating across teams and driving product development and iteration.

The Business Development Representative drives pipeline for commercial auto insurance, focusing on prospecting, qualification, and collaboration with Account Executives to build market presence.

The Senior Data Engineer will build and maintain ETL/ELT pipelines, optimize SQL queries, and collaborate on machine learning workflows, driving data engineering best practices.

As a Senior QA Engineer, you will ensure the stability and scalability of GenLogs operations through comprehensive testing and quality assurance processes while collaborating with internal teams to enhance products and strategies.

As a Data Engineer, you will build and maintain data pipelines, ensure data quality, support ML workflows, and optimize query performance using various technologies.