Top Tech Jobs & Startup Jobs in Los Angeles, CA

Leads and grows a frontend-focused development team, establishes architecture and engineering practices, drives frontend roadmap execution, reduces technical debt, improves reliability and security, partners with Product and the CTO, and mentors developers. The role oversees SaaS production systems, cloud platforms, APIs, microservices, customer-focused solutions, incident response, and engineering priorities.

Reviews closed mortgage loan files for completeness, underwriting and mortgage insurance compliance, and insurability. Manages a loan pipeline, interprets DU and LP findings, identifies discrepancies, researches guidelines, and resolves post-closing exceptions with internal and external stakeholders. Supports quality control, process improvement, accurate issue tracking, and regulatory compliance while maintaining confidentiality and meeting productivity standards in a remote environment.

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

Architects FHIR-compliant clinical data models and develops harmonization, enrichment, and validation strategies across EHR, HIE, and claims data. Maintains clinical ontologies and value sets, ensures data accuracy and longitudinal integrity, and documents technical requirements for engineering teams and stakeholders. The role requires advanced Python and SQL skills, healthcare interoperability expertise, and experience with clinical informatics or data integration.

Own corporate FP&A forecasting, consolidations, cash flow planning, reporting, and financial modeling. Partner with Accounting and cross-functional leaders to analyze variances, improve forecast accuracy, support executive and Board reporting, and guide resource allocation. The role also enhances planning processes, automation, and models covering stock-based compensation, capital expenditures, collections, share count, and long-range planning.

Lead end-to-end AI improvement initiatives by assessing workflows, identifying automation opportunities, gathering stakeholder requirements, designing and integrating AI-powered solutions, and managing deployment and adoption. The role also includes process redesign, executive communication, internal AI enablement, responsible AI governance, privacy, access controls, and measuring post-implementation business impact.

Build and optimize scalable Databricks data pipelines across a medallion architecture. Develop data models, implement data quality checks and validation, integrate Azure services, and ensure data accuracy, governance, lineage, security, and performance. The role requires designing config-driven pipelines supporting CDC and event-based processing, maintaining CI/CD deployments, and working with structured and unstructured data across SQL and NoSQL systems.

Drive partner health, product adoption, onboarding, training, and long-term engagement for cybersecurity clients and partners. Provide technical support, prepare partner reviews, document processes, collaborate with GTM and Product teams, and track customer health and KPIs using ChurnZero. The role requires customer-facing technical expertise, security-industry experience, strong communication, analytical skills, and independent remote work capability.

Own end-to-end Lyric deployment workstreams from planning through go-live. Manage project plans, meetings, timelines, budgets, risks, UAT, customer adoption, training, and post-launch monitoring. Partner with executives, engineers, and supply chain operators to translate business needs into platform solutions and ensure successful delivery.

Lead the architecture and delivery of modern data and analytics platforms for clients. Design governed, secure solutions using Microsoft Fabric, Azure, Databricks, Power BI, and Purview. Translate business needs into scalable architectures, estimates, roadmaps, and delivery plans. Guide architecture reviews, governance, CI/CD, testing, monitoring, and operational readiness while enabling AI, Copilot, RAG, and intelligent application initiatives. Serve as the technical lead and trusted advisor for client engagements.