Top Tech Jobs & Startup Jobs in Los Angeles, CA

The Staff Business Systems Analyst will manage Salesforce solutions and partner with stakeholders, ensuring effective integration and data flow across multiple platforms while supporting business needs and documentation efforts.

In this role, you'll build and scale high-throughput data pipelines, ensure data quality, and leverage AI for improved data operations. You'll also lead initiatives in a fast-paced environment focused on real estate data engineering.

The Project Manager will oversee client engagements, manage timelines, budgets, and scope, build relationships with clients, and identify opportunities for account growth while coordinating with engineering and sales teams.

The Data Engineer will help build modern data infrastructure, designing ETL pipelines, modeling datasets, and collaborating with teams for improved data quality and accessibility.

Join the AI-enabled Go-To-Market team as a Senior Business Development Representative, focusing on outbound sales, managing AI prospecting tools, and closing business with pro accounts and mid-market enterprises.

The Enterprise Account Executive will expand SentiLink's reach in e-commerce, leading sales processes, building relationships, and shaping market strategies.

As a Senior Software Engineer, you will enhance data pipelines, integrate with EHR systems, and mentor fellow engineers while ensuring scalable and reliable solutions for health technology.

The Staff SDET will design and implement a testing strategy for the organization’s data platform, ensuring data quality and system reliability through automated integration testing and mentoring engineers in testing best practices.

The Senior ABX Manager will design and execute account-based marketing programs for strategic accounts, collaborating with sales to drive engagement and revenue.

Lead Pager Health’s enterprise data and reporting strategy, build a centralized data and reporting shared services function, own internal dashboards and client-facing analytics, partner with Product and Engineering on data architecture and governance, mentor data teams, prioritize and deliver data initiatives, and drive continuous improvement in tooling, automation, and data storytelling to support growth, efficiency, and client outcomes.