Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead and execute enterprise UX design for SaaS mortgage servicing products. Drive design systems in Figma, mentor designers, translate business and technical requirements into scalable, data-driven user flows and interactions, partner with product and engineering, and use AI-assisted tools to accelerate design delivery.

Lead the development and execution of the NA digital transformation and data strategy, enhancing capabilities in AI and digital technologies across the business.

Design, build, and maintain software applications; collaborate with engineers, analysts, and stakeholders; resolve bugs and production issues; write scalable, testable code; perform testing and debugging; produce technical documentation; mentor peers; participate in on-call rotation; leverage the team's data ecosystem to inform application design and improvements.

Own monthly reconciliation, reporting, and compliance for Givzey and Version2.ai. Build and present financial forecasts and KPI-driven reports to CEO and Board. Manage AP, invoicing, collections, cap tables, 409A valuations, tax compliance, commission reporting, vendor onboarding, audits, contracts, and software license/insurance reviews.

Provide descriptive and diagnostic analyses to inform product decisions, design KPI dashboards and self-serve BI, QA and optimize SQL, run statistical analyses (R/Python), lead cross-functional discussions, mentor junior analysts, and improve reporting/data management.

Provide daily monitoring, management, troubleshooting and resolution for hosted platform applications. Coordinate incidents, outages, and changes via ServiceNow, perform deployments, analyze basic SQL, support integrations (APIs/ETL/FTP), author knowledgebase articles, work with vendors, and provide after-hours support to meet SLAs and improve operational resilience.

Design and own UX/UI across VibeIQ’s collaborative apps. Create flows, wireframes, prototypes, and high-fidelity designs. Partner with product and engineering to define problems, contribute to the design system, run design reviews, and improve complex workflows. Explore AI tooling to enhance design workflows and help shape the growing design function.

The Enterprise Account Executive will drive revenue growth, manage relationships with insurance agencies, and oversee the sales process from prospecting to closing.

Lead and scale the regional pre-sales organization for conversational AI/CCaaS, managing Solution Consultants and Demo Engineers, driving technical strategy for complex enterprise deals, ensuring high-quality demos, architectures, RFP responses, and smooth handovers to delivery while aligning Sales, Product, and Delivery.

Senior individual contributor responsible for driving new-logo ARR and expansion across North American Premier accounts. Own the full enterprise sales cycle, build and forecast pipeline, develop territory plans, lead proposals/RFPs/demos, qualify technical feasibility, manage multi-stakeholder deals, and transition contracts to implementation while maintaining executive relationships and competitive intelligence.

Lead technical pre-sales for enterprise contact-centre AI deals: perform discovery and architecture assessments, design solutions, run demos and POCs, author RFP/RFI technical responses, engage technical stakeholders, and ensure delivery readiness and competitive positioning across assigned region.

Analyze large, complex datasets to generate actionable insights; build SQL queries and data pipelines; develop predictive models (regression, clustering, forecasting); create and maintain dashboards; ensure data quality and governance; collaborate with stakeholders to translate findings into business recommendations and document work.

Analyze large datasets, build SQL queries and data pipelines, develop predictive and statistical models, create dashboards, ensure data quality/governance, and translate insights into actionable recommendations for Marketing, Product, Operations, and Workforce teams.

Design, build, and maintain data pipelines, dashboards, and predictive models. Analyze large datasets to generate actionable insights, collaborate with stakeholders, ensure data quality and governance, and document/share analytics best practices to support Marketing, Product, Operations, and Workforce teams.