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

The CISO will develop and manage the Bank's information security programs, ensuring compliance and protecting customer data while mitigating risks. They will also lead a security team, oversee third-party risk, and promote a culture of security awareness across the organization.

Lead a team of Customer Advocacy Associates to resolve complex escalations, own QA and vendor performance, manage SLAs/KPIs, drive cross-functional initiatives, analyze complaint trends, and implement scalable process and product improvements to enhance customer outcomes and reduce complaint rates.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

The Counsel II role involves drafting, negotiating global commercial agreements and providing legal advice to cross-functional teams, managing legal issues, and improving internal processes.

The analyst will own planning for launches, build forecasting models, partner with stakeholders, and drive data-driven decisions using AI and analytics.

The Analyst I will own analytics workflows, drive improvements, build data models, and support business metrics while collaborating across teams.

The Manager of Software Engineering will lead the Developer Environments team, enhancing developer productivity through effective environment provisioning and CI/CD workflows while mentoring engineers and implementing system reliability improvements.

The Analyst II will analyze data to optimize fraud strategies, develop machine learning models, and collaborate with teams to enhance product safety.

Oversee high-visibility technical programs, streamline processes for product development, coordinate across teams, evaluate risks, and communicate with stakeholders.

The Senior Staff Software Engineer will architect Affirm's lakehouse analytics platform, lead data governance efforts, mentor engineers, and collaborate across teams to optimize data solutions using Snowflake and other big data tools.