Top Tech Jobs & Startup Jobs in Los Angeles, CA

As the Senior Data Scientist for AI & Model Risk, you will lead AI risk assessments, coordinate with stakeholders, evaluate AI system designs, and ensure compliance with risk management principles in financial services.

The Design Director for Core Experience will lead a team of designers, driving product design excellence, strategy, and long-term vision for customer-centric financial solutions.

As a Senior Software Engineer on the Cash App Banking team, you will lead the design, execution, and delivery of banking features, collaborating across teams to enhance the user experience.

The role involves designing technical solutions for merchant integrations, collaborating with teams, and providing technical guidance, requiring extensive customer-facing experience.

As a Staff Software Engineer, you will lead technical strategies, drive architectural decisions, mentor engineers, and develop consumer banking solutions using various technologies.

Own and execute marketing strategy for Afterpay's enterprise merchant partnerships, leading program development, performance metrics, and cross-functional collaboration to drive growth and improve marketing effectiveness.

As a Senior Growth Marketing Analyst, you'll analyze and report on growth marketing channels, identify performance trends, collaborate on marketing strategy, automate reporting, and enhance measurement methodologies.

As an Engagement Marketing Manager, you'll lead customer activation and habituation strategies, run experiments, collaborate cross-functionally, and drive growth using data analysis and AI tools.

Design, deploy, and maintain end-to-end ML risk solutions at scale to detect and prevent fraud, merchant risk, and credit loss. Partner with cross-functional teams, lead technical decisions, build ML tooling, monitor models in production, and investigate emerging abuse patterns to improve detection and decisioning.

Lead strategy and execution for AI-powered risk automation products. Identify automation opportunities, define product requirements, partner with ML/data/engineering/design, run experiments, set metrics for accuracy, safety, and reliability, and drive cross-functional launches to improve decision quality and operational efficiency.