Top Tech Jobs & Startup Jobs in Los Angeles, CA

Steward and grow a strategic insurance territory through full-cycle enterprise SaaS land-and-expand selling. Engage C-suite and product leaders, diagnose challenges, build data-driven ROI business cases, close complex $500k-$1M+ deals, and partner with delivery teams post-sale to ensure long-term customer success.

Support day-to-day operations of the Setup Sessions program by managing databases, running workflows for onboarding and payouts, and streamlining processes using Notion AI.

As a Senior Account Manager, you'll manage a portfolio of mid-market law firm accounts, focusing on revenue growth and client retention by leveraging deep legal tech expertise and driving strategic account plans, cross-sell opportunities, and executive relationships.

Lead the development of analytics solutions across operations, manage a team of analysts, and drive operational excellence and decision-making through data insights.

The Director of Marketing will lead all aspects of marketing at Sittercity, focusing on strategy, brand management, growth, and innovative AI-driven marketing techniques to drive engagement and revenue.

Lead a team of data and infrastructure engineers to develop cloud-based data systems and solutions for analytics, ensuring best practices in data management and MLOps.

The Instructional Designer creates engaging learning experiences, collaborating with stakeholders to develop training materials and improve learning effectiveness, while managing multiple projects.

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

The role involves managing Data Success Managers, overseeing data operations, supporting partners, and improving team workflows to deliver quality service.

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.