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

The Integration Engineer will lead client onboarding for fraud and compliance products, manage integrations, analyze requirements, and support clients throughout the process.

Embed with clients to gather requirements and design AI-driven solutions for fraud and fincrime. Architect, train, evaluate, and deploy custom AI agents and workflows, optimize model performance, establish risk metrics and evaluation pipelines, and collaborate with engineering/product teams to scale into production.

Lead federal sales engineering efforts: deliver tailored demos, respond to federal RFPs/RFIs, navigate agency security reviews and ATO processes, produce solution designs aligned to federal frameworks (FedRAMP, NIST), and advise product/GT M strategy for federal use cases in fraud, identity, and AML.

Provide commercial legal support across Sales, Product, Partnerships, Procurement, and Engineering: draft and negotiate NDAs, SaaS and vendor agreements, advise on product and privacy/regulatory risks (GDPR, CCPA/CPRA, GLBA), improve contract lifecycle management, and respond to day-to-day legal inquiries and ad hoc projects.

The Staff Software Engineer will design, build, and maintain compliance systems for fraud prevention, managing KYC workflows and regulatory reporting. They will mentor engineers and drive technical strategy while collaborating with various stakeholders.

Lead the PoC data science team, delivering POCs for enterprise clients, mentoring team members, and driving fraud analytics and ML solutions.

The DevOps Engineer will evolve infrastructure, manage CI/CD pipelines, improve observability, and enhance developer productivity in a remote-first team.

The Controller will oversee accounting operations, manage audits, financial reporting, internal controls, and support strategic decisions for a SaaS company.

As an FP&A Analyst, you'll manage budget analysis, partner with departments on financial planning, develop operating models, and leverage AI for financial insights.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.