Top Tech Jobs & Startup Jobs in Los Angeles, CA

The CMCO at Terrabis drives revenue through marketing and commerce, overseeing strategies for brand growth, customer acquisition, and eCommerce performance while integrating digital and retail experiences.

The HCM Consultant will implement tailored HCM solutions, analyze HR processes, and enhance employee engagement for diverse clients.

Lead client account teams to translate strategy into high-quality execution across channels (email, SEO, content, paid media, HubSpot/RevOps). Manage client relationships, coordinate project managers and specialists, monitor performance, surface insights and risks, and drive client retention and measurable results.

The Senior Product Designer will create intuitive interfaces for AI agents and cloud services, guiding user interactions and enhancing the design system.

As CEO, you'll lead sales efforts, build customer relationships, refine go-to-market strategy, and develop organizational structures in an AI startup.

Provide remote administrative support to C-suite executives: manage calendars, travel, communications, client files, CRMs, contracts, and special projects while maintaining confidentiality and alignment with business objectives.

The Technical Enablement Manager will develop onboarding and training programs for technical sellers, create learning materials, and partner with Customer Solutions to enhance sales effectiveness through enablement initiatives.

Lead and scale the insurance operations function, build the operating model for product development and launches, coordinate with underwriters and partners, implement QA and documentation standards, reduce operational risk, and create repeatable processes for disciplined, scalable execution across Product, Partnerships, and Underwriting.

The Full Stack Product Engineer will drive feature development and collaborate on user-facing applications, optimizing AI models and improving user experience.

Lead design and build of AI-enabled, full-stack applications across multi-cloud environments. Own end-to-end architecture, real-time data ingestion, agent orchestration, LLM and vector memory integration, reinforcement learning models, and front-end decision-support interfaces for regulated/government contexts.