Top Tech Jobs & Startup Jobs in Los Angeles, CA

Freelance field researchers will visit cafes, markets, and vendors to test PayMoji scanning of local QR codes, document cash vs digital usage, observe merchant reactions, and report usability and on-the-ground payment barriers while living or traveling in-country.

Brunswick seeks exceptional talent for global opportunities across various professions and levels. Interested candidates should submit their CVs and cover letters for consideration.

The Technical Product Manager will manage complex blockchain products, drive product roadmaps, collaborate with engineering and design teams, and focus on user needs and product metrics.

Perform high-volume outbound calling to identify and qualify B2B sales opportunities, schedule appointments for Field Sales, maintain Salesforce records, use data to improve campaigns, and collaborate with managers and teams to meet targets.

Design, build, and deploy production-grade machine learning models and analytical solutions. Work end-to-end from problem definition to production, write performant Python and SQL, resolve data quality issues, collaborate with product and engineering, support on-call, automate reporting, mentor junior teammates, and improve model reliability and workflows.

The Project Manager will manage the implementation of enterprise SaaS solutions in the utility industry, ensuring project success and customer satisfaction.

Manage post-sale relationships with strategic SaaS customers, drive onboarding and adoption, educate finance teams, identify upsell/cross-sell opportunities, own expansion pipeline and forecasts, manage renewals to minimize churn, and collaborate cross-functionally to advocate customer needs.

Lead architecture and implement large cross-cutting initiatives on a SaaS grantmaking platform. Produce high-quality full‑stack code (Rails/React/Node), mentor engineers, drive SDLC best practices, and champion AI-assisted development while collaborating with product, infra, and QA teams.

Design realistic HR scenarios, author prompts and gold-standard responses, review and grade AI outputs for HR accuracy and compliance, identify edge cases, and refine evaluation rubrics to improve AI reasoning across talent acquisition, compensation, employee relations, L&D, and HR analytics.

Design and build a production multi-agent harness and MCP integrations that operate across ERPs, CRMs, and business tools. Own end-to-end production concerns (reliability, observability, permissions, safe workflow execution), scope the product, make architecture decisions, and ship features working closely with CTO, product, engineering, and design. Stay current with agent frameworks and use tools like Claude Code in development.