Top Tech Jobs & Startup Jobs in Los Angeles, CA

Manages profitable growth for a Texas excess and surplus casualty territory. Responsibilities include underwriting complex accounts, servicing major agency relationships, supporting production and sales, mentoring teammates, delivering training, developing underwriting guidelines and products, and pursuing cross-sell and joint marketing opportunities. The role is field-based and requires travel throughout the territory.

Own lender customer relationships from implementation through post-go-live, advising on mortgage workflow configuration, answering product questions, handling objections, supporting demos, and translating customer feedback to Product and Engineering. The role requires direct mortgage lender experience, customer-facing communication, deep mortgage lifecycle knowledge, hands-on loan origination system experience, and willingness to travel approximately monthly. The CSM will also help establish the company’s customer success playbook.

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.

Lead analytical support for performance marketing by evaluating CAC, ROAS, LTV, conversion, retention, and acquisition efficiency. Conduct deep-dive analyses, experimentation, incrementality studies, and marketing measurement using SQL, Python, and visualization tools. Build scalable reporting frameworks, improve data quality, communicate insights to senior stakeholders, influence channel and budget decisions, and mentor junior analysts.

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.