Top Tech Jobs & Startup Jobs in Los Angeles, CA

Analyzes provider data, payments, performance trends, and outliers to support appropriate care and cost control. Documents departmental activity, develops benchmarks and corrective action plans, coordinates provider chart audits, monitors network performance, and communicates findings to internal teams. The role requires SQL, analytical skills, strong organization, and collaboration with clinical, provider relations, client experience, and development teams.

Supports corporate narrative development, Japanese-language web and marketing collateral, media outreach, white-paper research, stadium advertising, vendor coordination, communications delivery, AI-enabled content creation, and international market research. The intern works remotely with senior leadership across U.S., UK, South Korean, and Japanese markets, managing meaningful projects and timelines while producing audience-specific content and building repeatable AI workflows.

Own the top of the hiring funnel by building sales, G&A, and R&D candidate pipelines; conducting personalized outreach; running initial phone screens; maintaining accurate ATS records; reporting pipeline health and quality metrics; and delivering qualified candidates to the senior recruiter. The role requires regional sales sourcing, data-driven process improvement, and close collaboration with hiring managers and recruiting partners.

Design and improve user experiences across 15 life sciences websites, email newsletters, and a B2B SaaS RFP platform. Create wireframes, high-fidelity Figma designs, responsive layouts, design-system components, developer specifications, accessibility guidance, and analytics requirements. Collaborate with product, engineering, editorial, and commercial teams, review implementations, and apply AI tools to accelerate design workflows.

Lead and scale Liquibase’s Customer Success organization, overseeing account executives responsible for renewals and expansion. Own retention, net revenue retention, customer health, adoption, and post-sale experience. Build repeatable processes, playbooks, dashboards, and forecasting models; manage account risk; develop customer relationships with technical executives; accelerate implementation and adoption; and provide customer insights to Sales, Product, Engineering, and Support.

Conduct local sports and entertainment sponsorship research, identify brands and sponsorship assets, document signage and activations, and submit accurate observations to SponsorUnited’s database. Scouts complete training, communicate progress, manage assignments independently, and may attend approved local events. The six-month internship is remote and assignment-based, with potential in-person venue scouting. Compensation is unpaid, though approved event and venue-access costs may be covered.

Conduct full-cycle, high-volume recruiting for outside sales representatives. Responsibilities include developing sourcing strategies, engaging passive candidates, screening and interviewing applicants, writing job postings, partnering with hiring managers, managing candidate relationships and offers, maintaining ATS records, and participating in career fairs and recruiting events.

Supports enterprise customers throughout the sales process by demonstrating Cribl, answering technical questions, supporting proof-of-concept sessions, and translating customer data challenges into solutions. The role requires experience with logs, metrics, IT operations, and security, along with a sales engineering, professional services, or support background. It is remote-first, based in Seattle or Portland, and involves up to 30% travel.

Provides technical support across PostHog products, owns customer tickets, investigates and debugs unfamiliar systems, ships code and documentation fixes, and partners with engineering teams on recurring customer issues. The role also improves support tooling and workflows, communicates clearly with technical customers, and shares product feedback to inform prioritization.

Lead the architecture and development of enterprise analytics models, dbt transformation pipelines, semantic layers, and BI datasets. Apply dimensional modeling, data governance, quality testing, observability, and performance optimization to deliver trusted business data. Partner with executives and cross-functional teams, standardize metrics, improve legacy workflows, support AI/ML integrations, and mentor engineers. Own key domain models and contribute to the analytics platform roadmap as a technical leader.