Top Tech Jobs & Startup Jobs in Los Angeles, CA

Own and ship full-stack features across frontend, backend, and data layers. Extend a Brand Knowledge Graph in Neo4j, build predictive optimization and measurement systems, design LLM orchestration and AI integrations to minimize calls, and deliver client-facing demos and QA. Translate complex data and models into actionable insights and maintain integrations and tracking infrastructure.

Own post-sale customer relationships end-to-end: onboard, train, enable adoption, measure success, drive renewals and expansion, and translate customer feedback into product and engineering priorities. Build scalable success playbooks, run experiments with clients, and report on metrics linking actions to outcomes while providing high-touch, strategic service.

Produce high-velocity social content and founder-led thought leadership from product assets and insights. Create short-form video, carousels, demos, and explainers; maintain brand voice; identify trends and scale output across platforms. Collaborate with leadership and occasionally shoot on-site.

Lead end-to-end product strategy and execution for an AI-driven B2B SaaS platform. Build the product function, define roadmap and sequencing, partner with engineering on APIs and system specs, engage design partners and clients, own launches, packaging, and product health metrics, and translate ambiguous customer needs into actionable system requirements.

Build and ship end-to-end AI-first product features: extend a Neo4j Brand Knowledge Graph, design predictive optimization and measurement systems, implement LLM orchestration and integrations, develop React/TypeScript frontends and scalable backends, participate in client-facing demos, and own QA and documentation.

Lead the analytical strategy for client pods, translating AI/SEO visibility data into actionable AEO plans, mentoring analysts, building playbooks, running client sessions, validating fixes, and tracking AI answer engine trends to improve brand visibility.

Own full enterprise sales cycle for a category-creating MarTech/AI product: build pipeline, run discovery and demos, close complex deals, hand off to Customer Success, and help design the sales playbook and ICP while advising Product and Marketing.