Top Tech Jobs & Startup Jobs in Los Angeles, CA

Build and optimize frontend signup and activation experiences to increase conversion and engagement. Partner with product, design, and data teams to implement performant, accessible, and experiment-driven user flows, mentor peers, and influence technical direction.

Lead strategy and execution for Customer Operations, transitioning to an AI-first support model. Own BPO relationships, support technology (Zendesk, Forethought), QA, compliance (DMCA), data and reporting, and partner with Product and Engineering. Build and coach distributed teams, establish KPIs and operating rhythms, and drive efficiency, quality, and proactive customer experience improvements.

Lead product analytics and experimentation for user-generated content growth. Design and analyze A/B tests, build dashboards and reports in Looker/Databricks, run funnel and cohort analyses, measure organic traffic impact, and partner with Product, Engineering, Data, and Marketing to translate insights into prioritized, measurable product recommendations.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Full‑stack engineer building and scaling MarTech systems for campaign execution, tracking, attribution, and integrations. Partner with marketers and analysts to design APIs, UIs, and backend services that enable growth automation and reliable data activation.

As a Senior Customer Operations Data Analyst, you will analyze customer support data to enhance decision-making, improve user experience, and drive insights across the Customer Support function.

As a Senior Product Manager, you will lead the transformation of Scribd's platform, developing product vision, strategy, and communicating with various stakeholders while tracking user success metrics.

The Lead Product Analyst will optimize product experiences across Scribd's Premium portfolio, guiding product strategy and metrics through strong analytics and experimentation frameworks. Responsibilities include end-to-end product analytics, dashboard creation, and collaboration with product managers and engineering.

Design and optimize machine learning pipelines for large-scale systems, integrating models into user features and ensuring data integrity and performance.

Lead the design and optimization of ML systems at Scribd, managing cross-team projects, mentoring engineers, and shaping technical direction for ML initiatives.