Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead design and implementation of backend services and distributed systems for real-time AI automation. Build scalable, observable microservices, streaming data pipelines, and async event-driven architectures. Collaborate across frontend, product, and DevOps to ensure performance, reliability, and seamless integration at scale.

Own the support inbox for self-published authors, guide onboarding to first wins, maintain help docs and tutorials, handle billing/account questions, identify recurring friction and deliver prioritized product feedback, and build lightweight support processes to scale quality.

Lead go-to-market strategy and execution for broker-facing insurance products. Manage email campaigns, broker segmentation, CRM data hygiene, and a library of sales enablement assets. Translate complex program details into clear marketing materials, collaborate with sales and underwriting for feedback, and measure campaign performance to optimize engagement.

Lead the supply side of an early-stage two-sided marketplace: recruit and retain partner businesses and contributors across verticals and geographies, own geo rate cards, capacity forecasting, contributor experience (onboarding, payments, support), and partner with platform on self-serve tooling. Close partners directly and optimize pricing, economics, and systems for scale.

Own the support queue, diagnose and reproduce customer issues, drive to root causes, submit bug-fix PRs, and act as the technical voice of customers to engineering to ensure product success.

Own the full enterprise sales cycle for large, complex accounts: prospecting, managing multi-stakeholder deals, running technical proofs-of-concept with engineering, refining enterprise sales plays, and feeding customer insights to product and leadership to drive repeatable revenue.

Design, train, evaluate, deploy, and monitor machine learning models. Prepare and analyze large datasets, improve model performance through experiments, and collaborate with software engineers to integrate ML solutions into production while staying current with ML techniques.

Lead Enterprise product marketing: develop positioning and messaging, partner with Product/Sales/Marketing, run AI-enabled GTM experiments, conduct market research and competitive analysis, create enterprise collateral, support strategic deals and enablement, and iterate on campaigns to drive pipeline.

Lead design and implementation of scalable APIs and agent communication layers for an AI-agent driven advertising marketplace. Build high-throughput backend systems, integrate agent frameworks and adtech partners, drive architecture for authentication and protocols, mentor engineers, and prototype agent communication patterns while collaborating with product and design.

Administer and optimize DRB SiteWatch, Patheon, and ICS POS systems across multiple locations. Configure items, pricing, promotions, and site settings; test changes; provide Level 3 troubleshooting for terminals, kiosks, payment and connectivity; liaise with vendors; maintain data integrity, SOPs, and training materials; monitor performance and reporting; and partner with teams to improve processes and customer experience.