Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead credit risk analytics for credit card and personal loan portfolios: develop ML-driven credit strategies, monitor portfolio performance, run A/B tests, forecast credit losses and stress tests, ensure regulatory compliance, and partner across Product, Engineering, Legal and Marketing.

The Product Manager will oversee data strategy and execution for Retrospective Risk Adjustment Coding products, managing data integration, database performance, and client onboarding for healthcare compliance.

The role involves developing strategic healthcare accounts, building executive relationships, and closing complex service agreements to enhance patient outcomes and financial performance.

Lead design, deployment, and optimization of SAP systems, architect cloud solutions, enforce security, oversee audits, and mentor junior engineers.

Lead end-to-end client engagements to design, build, and ship AI agent workflows and automations. Convert ambiguous AI mandates into sequenced initiatives, prototype and deploy solutions, manage stakeholder change, document learnings to inform product strategy, and help build the operating model for this new function.

As a Senior Software Engineer at Aspire, you'll lead the development of user-facing features, manage complex projects, and collaborate with cross-functional teams to enhance product functionality.

The Systems and Training Manager oversees operational support, maintains SOPs, manages documentation, and delivers training to franchise owners and internal teams.

The Data Solutions Architect at MANSCAPED will manage the enterprise data architecture, ensure security and scalability, and support BI reporting and advanced analytics.

Conduct data science research on experimental methodologies and causal modeling, develop tools to analyze experimental data, prototype improvements to platform features, and communicate results to internal teams and external stakeholders to drive product and research decisions.

Manage curriculum development for data science and engineering, collaborate with instructors, create content, and drive improvements based on learner feedback.