Top Tech Jobs & Startup Jobs in Los Angeles, CA

The Investments Analyst supports investment management functions, including due diligence, cash management, investment reporting, and cross-department coordination. Responsibilities include evaluating investment opportunities, preparing reports, and improving operational processes.

The Senior Software Development Engineer in Test will design test architectures, lead quality initiatives, mentor engineers, and enhance engineering standards by collaborating with cross-functional teams and ensuring application performance.

The Client Manager is responsible for managing key account relationships, improving customer loyalty, driving product utilization, and providing technical support while ensuring client satisfaction and retention through strategic planning.

The Customer Success Manager will ensure customer satisfaction and retention, driving growth in mid-market accounts through proactive engagement and support strategies.

Lead the growth strategy for demand generation in a B2B SaaS environment, focusing on pipeline and revenue generation through campaigns and analytics.

The Mission Success Manager coordinates between customers and product teams, oversees mission success programs, collects feedback, applies operational knowledge, and leads adoption of new tools for defense and government customers.

The Strategic Transactions Manager will oversee execution of transactions on Crux's platform, coordinate stakeholders, and drive platform adoption across internal and external teams.

The Regional Sales Manager will drive growth in the U.S. grocery sector, managing retailer accounts and broker teams, setting strategic goals, analyzing sales data, and maintaining key relationships to achieve sales objectives.

The Account Manager will maintain and grow client relationships, maximize product adoption, prevent churn, and collaborate with Account Executives to identify new opportunities within client accounts.

The Graphic Designer will create product graphics and presentations, collaborate with Sales and Operations, and prepare production-ready files while managing multiple design projects.

Lead a team of data scientists developing ML-driven products, managing infrastructure, training models, and ensuring production quality while collaborating with senior leadership.