Top Tech Jobs & Startup Jobs

Own end-to-end subsidiary governance reporting across 11 regulated entities: design cadence, coordinate with MLROs and compliance leads, synthesize cross-entity intelligence, produce Board-quality governance materials, maintain reporting templates, and identify capability gaps for prioritization.

The Staff Software Engineer will lead technical strategies for the Cash App Banking team, overseeing architectural decisions, mentoring engineers, and developing financial products that improve customer banking experiences.

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

As a Staff Software Engineer for Cash App Banking, you will lead technical strategies, influence architecture decisions, and mentor engineers to enhance consumer banking features.

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

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, build, and operate high-throughput, fault-tolerant ledger and settlement systems of record. Develop durable ledgering APIs, emit trusted finance data, maintain SLOs, debug production, lead projects, mentor engineers, and collaborate with product, finance, and treasury stakeholders.

Design, build, and operate high-throughput, fault-tolerant ledger and settlement systems of record. Develop durable ledgering APIs, settlement orchestration, and treasury automation. Ensure data contract integrity for downstream finance, run production systems to SLOs, debug multi-layer issues, lead and mentor engineers, and use AI tooling to reduce operational toil.

Lead end-to-end data science for lending products: define measurement frameworks, analyze experiments and cohorts, evaluate risk and model performance, use AI tools to accelerate analysis, build reusable tooling, and mentor junior scientists while partnering with product, engineering, and risk stakeholders.

Lead end-to-end data science for lending products: define measurement frameworks, analyze customer and risk data, design experiments, monitor model and policy performance, and build reusable tooling. Use AI tools and agent workflows to accelerate analysis, mentor junior scientists, set technical standards, and partner with product, engineering, and risk to drive product and business decisions.