Top Tech Jobs & Startup Jobs in Los Angeles, CA

Seeking a senior mainframe consultant to provide technical expertise in Broadcom Software products, assist clients, and manage projects, requiring strong communication and technical skills.

Design and enhance data management and analytics functions, build data assets, establish engineering standards, and enable self-service data access for analytics at Danaher.

Manage post-sales activities for California government accounts, ensuring customer success and adoption of Box's services through relationships and product knowledge.

Assist attorneys with probate litigation, including drafting legal documents, managing case files, coordinating deadlines, and communicating with clients and courts.

As a Sales Advisor, you'll provide excellent customer service, assist customers, promote products, maintain store presentation, and support store operations.

The Director, Streaming & Fandom Marketing oversees Cineverse's marketing strategy across multiple streaming platforms, leading growth initiatives and managing a cross-functional team while ensuring brand consistency and subscriber engagement.

The Associate Director of Learning Design leads development of sales agent training, manages instructional teams, and collaborates on learning strategies to improve sales performance and training effectiveness in a healthcare environment.

The Executive Administrative Assistant supports senior executives by managing schedules, coordinating meetings and travel, handling correspondence, and ensuring tasks are completed with confidentiality and accuracy.

Seeking a Business Analyst with 7+ years in the Media Domain, specifically knowledgeable in TV finance, distribution, and AS/400 technology.

As a Strategic Account Executive, you will drive revenue by managing the sales cycle, develop new opportunities, and partner with clients and internal teams to create tailored AI solutions.

Perform hands-on data cleansing, linking, validation, and standardization; monitor and report data quality metrics; identify recurring issues and recommend process or automation improvements; organize and streamline workflows; maintain documentation and data standards; test and provide feedback on tools and AI-assisted features; serve as a point of contact for data integrity questions.