Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design, build, and maintain scalable dimensional data models, semantic layer, and production transformation pipelines. Collaborate with Data Engineering, Data Science, BI, DevOps, and Product to enable AI-ready data, ensure data quality and governance, support ML feature delivery, and coach analytics team members for robust, production-ready data products.

Lead technical design and architecture for analytics engineering: build and govern the semantic/metrics layer, optimize dbt and Snowflake for performance and AI use cases, mentor engineers, partner with Data Science and Engineering, drive data quality, CI/CD, observability, and deployment of third-party data and emerging tooling to support analytics, ML, and agent-based products.

Lead and grow a team of analytics engineers while remaining hands-on with SQL, dbt, and Snowflake. Own roadmap and semantic layer development, build trusted, governed data products, partner with cross-functional stakeholders, champion data quality and observability, and hire and coach engineering talent to deliver scalable analytics and AI-ready foundations.

Implement, configure, and test decision engine process flows and rule changes. Execute QA, A/B tests, and historical backtesting. Validate data integrity between vendors and core apps. Gather requirements, document processes, and collaborate with Pricing, Risk, and Engineering to ensure accurate, efficient decisioning.

Own and architect Forward's security technology stack across AppSec, SecOps, and GRC. Design integrations with Engineering/IT, lead tool evaluations and PoCs, automate controls with infrastructure-as-code and detection-as-code, build centralized logging/SIEM and identity governance, align architecture to security frameworks, mentor security engineers, and support incident response and remediation.

Lead a 70+ person inside sales organization, owning strategy and execution for new sales, renewals, and win-backs. Drive revenue targets, forecasting, analytics-driven process improvement, cross-functional campaigns, tooling/automation with Technology, and talent development to scale a high-volume, short-cycle fintech sales operation.

Drive high-volume outbound re-engagement of paid-in-full merchants to generate new funding opportunities. Use CRM (Salesforce) and auto-dialer tools, analyze performance metrics, mentor junior reps, collaborate with cross-functional teams, pilot beta technologies, and meet strict activity, conversion, and quota targets.

Own BI analytics using a modern data stack to generate insights, build dashboards and self-serve tools, partner with stakeholders, and deploy AI-driven reporting and natural-language query solutions.

Lead and deliver end-to-end data science projects: design, build, deploy, and monitor ML/statistical models for credit risk, pricing, collections, and fraud. Partner with cross-functional teams to integrate models into production, set model development standards, mentor engineers, and maintain reliable ML pipelines and monitoring systems.

Manage a portfolio of small and medium business customers to grow relationships and identify additional capital solutions. Analyze business and financial histories, own the sales process from approval to close, use data to prioritize opportunities, and meet monthly quota in a fast-paced environment.