Top Tech Jobs & Startup Jobs in Los Angeles, CA

No responsibilities or duties are provided. The job description is a draft and only specifies the base pay range ($70,000-$80,000 per year).

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.

Build and evolve cross-platform design systems and user-facing features, translate complex agricultural finance workflows into intuitive interfaces, ship high-quality frontend code, and collaborate with design and product to scale frontend architecture and tooling.

Develop and manage SEO-optimized content and social media calendars using AI tools and external creators. Oversee platform backend, coordinate with technical support, build influencer partnerships, analyze performance with analytics tools, and refine strategies to increase engagement and reach.

Build user-facing features with React and TypeScript, implement responsive UIs from Figma, collaborate with design, deploy via continuous deployment, learn Node.js/backend, use AI coding tools, and ship production-ready features while receiving mentorship.

Presales AI specialist designing and demonstrating AI-driven customer experience solutions. Support technical discovery, prototype deployments, integrations (APIs, real-time systems), evaluation and governance, field enablement, and transition of pilots to production while advising on architecture, model selection, and business outcomes.

Lead proactive early-stage retention by identifying at-risk customers, managing a dedicated book of accounts, executing stabilization and adoption plans, coordinating cross-functional resolutions, monitoring retention metrics in Power BI, documenting activity in HubSpot, and developing retention playbooks and contract stabilization agreements.

Lead large-scale PLM/PDM/QMS migrations to the Propel platform, run process and data mapping workshops, architect integrations with CAD and ERP systems, deliver multiple concurrent implementations on time and budget, and provide PLM/QMS consulting and migration best practices.

Build and own conversational voice AI products end-to-end: architect, implement, and deploy the platform. Design infrastructure, develop front-end and back-end systems, deliver reliable customer outcomes, and collaborate directly with the CTO to scale the product for enterprise customers.

Support product development for Medlive.com by defining problems and acceptance criteria, writing product briefs and requirements, partnering with UX and engineering, tracking engagement metrics, and conducting user discovery to inform product decisions.