Top Tech Jobs & Startup Jobs in Los Angeles, CA

Own customer account growth, renewals, expansion, adoption, retention, referrals, and customer experience. Develop lifecycle engagement programs, analyze customer data, lead strategic business reviews, resolve escalated issues, and identify expansion opportunities. Partner with Sales as a subject matter expert and solutions architect while coordinating cross-functional resources to improve customer outcomes and revenue performance.

Own end-to-end product features: conduct user research, translate insights into specs and user stories, collaborate with engineering/design/growth, analyze product data, support sprint planning/QA/releases, benchmark competitors, and build roadmaps and documentation to launch features.

As a founding full-stack engineer, design, build, and deploy core backend services, oracle/watchtower infrastructure, and borrower-facing applications. Integrate Bitcoin transactions, PSBTs, and Discreet Log Contracts, manage SQL/NoSQL databases, contribute to architecture decisions, and wear multiple hats in a fast-paced, early-stage environment.

Build reference software codebases, support NGOs developing generative AI products, integrate diverse data sources, create experimentation tools, and deliver rapid cloud-based solutions. The role includes advising and mentoring partner organizations, conducting rigorous experiments, improving analytics infrastructure, organizing technical workshops, and visiting NGO sites to identify technical needs. Candidates need strong full-stack engineering, backend, data engineering, cloud, database, and generative AI experience.

Provides administrative support through data entry, record maintenance, customer inquiry management, team coordination, and general organizational assistance. The role supports multiple departments, helps ensure smooth operations, and contributes to team productivity while requiring strong communication, multitasking, organizational, and collaboration skills.

Design, train, and deploy scalable ML models (generative, classification, regression). Define feature roadmaps, collaborate with engineering to implement code and APIs, adapt ML methods for distributed/GPU environments, and create evaluation/annotation programs for fine-tuning and performance measurement.

Own the full enterprise sales cycle for AI document intelligence solutions sold to law firms and corporate legal teams. Manage complex, multi-stakeholder deals involving legal, IT, security, procurement, and executive buyers. Build pipelines, conduct discovery, lead demos and proofs of value with sales engineering, navigate security and deployment reviews, maintain accurate forecasts, and provide market feedback to product and leadership.

Support social media presence by creating, editing, scheduling posts; engaging followers; tracking analytics; helping run campaigns; maintaining content calendars and healthcare-relevant, compliant content.

Lead nationwide business development for electronic recycling, managing and coaching BDMs, building partnerships (OEMs, ITAD, municipalities), driving revenue growth, expanding markets, and ensuring compliance with industry standards and sustainability goals. Provide forecasts and collaborate with Operations, Marketing, and Compliance.

Lead end-to-end annotation projects: define workflows, coordinate teams (annotators, reviewers, experts), track progress and quality via dashboards, manage launches and phase transitions, pilot tooling and methodology improvements, and build scalable operational systems and documentation to support annotator community and cross-functional alignment.