Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design and implement scalable onboarding programs for new hires, ensuring an engaging experience and aiding their progression. Collaborate with leaders to tailor team-specific onboarding, optimize processes, and create diverse training materials. Analyze feedback for continuous improvement.

Lead and mentor a team of engineers, develop strategic roadmaps for application architecture, manage SaaS ecosystems, and build secure integrations and automations.

The Solutions Architect will lead technical implementations, define deployment specs, and support integrations, ensuring successful customer deployments and collaborating across teams.

This role involves managing the full sales cycle for healthcare systems, building relationships, and developing talent pipelines. The seller focuses on new business development and collaborates cross-functionally.

The Accounting Clerk supports the VP of Accounting with reconciliations, month-end processes, accounts payable, and loan operations, while ensuring transaction accuracy.

The Strategic Account Executive will drive revenue through complex sales cycles, presenting to Fortune 1000 clients and managing relationships with executive stakeholders. Responsibilities include achieving sales quotas and working with cross-functional teams to close deals.

Lead strategic AI and ML initiatives for Tidal by developing personalization systems and collaborating with cross-functional teams. Responsible for technical leadership and system architecture.

The Data Engineer will create data pipelines, manage and maintain data architecture, and improve the data processing systems, focusing on automation and efficiency in delivering data insights.

The role involves consulting with customers, designing software solutions based on their business needs, leading implementations, and collaborating with internal teams to ensure customer success.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.