Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Work directly with customers to translate business requirements into production-quality AI-native software. Architect and build end-to-end systems integrating AI models, backend APIs, and web apps, drive high-impact projects, and implement engineering best practices while balancing technical and business priorities.

Build and lead the customer support function for the Casca platform, focusing on creating excellent customer experience, automating support processes, and managing a team.

The Staff Software Engineer leads architectural decisions, develops complex initiatives, mentors team members, and optimizes SaaS applications focusing on quality and delivery speed.

As a Product Manager, you will lead the end-to-end product development for AI-driven banking solutions, ensuring user-centric design and strategic innovation while collaborating with cross-functional teams.

Casca is seeking passionate talent for various roles in AI-powered fintech to transform banking processes. Exceptional candidates are encouraged to apply, impacting the lending industry.

As Chief of Staff, you'll manage CEO priorities, drive operational excellence, and ensure cross-functional alignment in a fast-paced startup environment.

Lead and deliver Casca's AI loan origination deployments at Tier 1 banks: own executive alignment, delivery outcomes, expansion, risk management, product feedback, playbook creation, and mentor deployment teams.

The Senior Infrastructure Engineer will build and maintain CI/CD pipelines, cloud infrastructure, and automation for Casca's AI-driven lending platform, ensuring efficiency, security, and compliance.

Lead deployment of Casca's AI loan origination platform at Tier 1 banks: translate AI into compliant workflows, manage integrations and environment setup, drive cross-functional coordination, write scalable deployment frameworks, and own stakeholder relationships from C-suite to engineering.

The Product Security Engineer will enhance the security of an AI lending platform by building tools, reviewing code, auditing for vulnerabilities, and collaborating with engineering teams.