Top Tech Jobs & Startup Jobs in Los Angeles, CA

Own quality across daily production deployments by reviewing requirements, directing AI-driven test agents, conducting exploratory testing, investigating defects, managing test environments and data, verifying releases, and improving automated testing processes. Build and maintain UI and API automation with Playwright, use Git and CI/CD tools, validate REST APIs and data with SQL, and collaborate closely with developers and product owners.

Performs strategic and business analysis supporting sales, marketing, lifecycle, and product teams. Builds dashboards, recurring reports, business cases, scenario models, and presentation-ready insights. Maintains data quality, identifies performance issues, and supports leadership decision-making. Uses generative AI tools to automate reporting, accelerate analysis, and uncover growth opportunities.

Develop data-driven consumer stories by researching credible datasets, analyzing and validating findings, guiding writers, managing editorial projects, and creating clear data visualizations. The role also involves building AI-assisted and automated workflows for research, analysis, quality assurance, and content production while independently validating outputs and maintaining editorial standards.

Supports digital PR campaigns through media outreach, journalist and influencer relationship building, pitch writing, content promotion, interview preparation, trend monitoring, and campaign performance analysis. The role combines SEO, brand storytelling, data-informed execution, and AI-powered tools. It is designed for an early-career professional with strong writing, organizational, communication, and research skills who is eager to learn digital PR fundamentals.

Manage the day-to-day production of local buyers guides from research through publication. Assign and review editorial work, conduct local business research, verify facts and sources, perform final quality assurance, and provide actionable feedback. Identify content gaps, recurring quality issues, and workflow improvements while maintaining high-volume production standards. Collaborate with content, SEO, data, and engineering teams to improve accuracy, efficiency, and consumer usefulness.