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

The role involves leading frontend architecture, defining UI strategies, ensuring quality and consistency across products, and mentoring engineers. It focuses on integrating AI patterns and improving UX.

Lead the development of AI-powered automation in a SaaS platform, focusing on strategy, customer engagement, and cross-functional delivery while ensuring compliance and product performance tracking.

The Digital Marketing Manager will execute and optimize paid media campaigns, manage budgets, analyze performance, and support pipeline growth across B2B Mortgage and Consumer segments.

The Sr Software Engineer leads technical integration solutions for consumer lending at MeridianLink, overseeing the architecture, design, and development of secure APIs and mentoring team members.

The Senior Product Manager will lead the AI platform's product strategy and roadmap, focusing on delivering foundational AI capabilities for internal and external teams while ensuring compliance and developer experience.

The Staff Software Engineer shapes AI platform strategy, leads architectural decisions, mentors junior engineers, and ensures compliance for AI capabilities in a financial context.

The Predictive Analytics Consultant designs and delivers analytics solutions for lending operations, focusing on predictive modeling, data transformation, and stakeholder communication.

As a Java Software Engineer III, you will design, develop, and maintain scalable Java-based backend services, mentor other engineers, and influence architectural decisions in an agile environment.

The Senior HR Business Partner manages the full employee lifecycle, ensuring compliance with processes and policies. Responsibilities include employee relations, onboarding, project implementation, and collaborating with management to address HR issues.

Build and maintain federated identity and authorization platform services for a multi-tenant SaaS environment. Implement integrations (OAuth/OIDC/SAML/JWT), design observable, fault-tolerant backend services in .NET or Python, use AI-assisted development tools, write tests and observability, participate in on-call and mentoring, and produce documentation and tooling to enable product team integrations.