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

Plan, execute, and optimize multi-channel paid media campaigns (search, social, display) to drive acquisition, pipeline and ROI. Manage budgets, tracking/attribution, testing frameworks, campaign builds, and cross-functional collaboration to scale global demand generation.

Lead architecture, development, and operation of the company data and AI platform. Define technical strategy, build and mentor a high-performing data platform team, drive company-wide initiatives, deliver scalable multi-region data pipelines, oversee ETL frameworks, metrics stores, infrastructure and data security, and advocate best practices for lakehouse-style data processing and model governance.

Serve as the primary IT engineer for Legal, Risk & Compliance: design and build workflows, automations and AI integrations, manage legal applications and integrations, own features end-to-end, handle escalations and on-call incidents, write documentation, and partner with InfoSec and global IT teams to scale systems.

Provide high-level administrative support to Americas senior leadership including calendar management across time zones, meeting coordination and minutes, travel and visa arrangements, event and onboarding coordination, document and presentation preparation, expense and invoice management, and acting as a liaison with internal and external stakeholders. Support execution of operational trackers and initiatives and provide occasional reception and office management assistance.

Lead and scale the Growth engineering organization: recruit, onboard, and develop engineers and managers; set goals, career paths, and performance/compensation processes; drive cross-functional execution with Legal, Risk, Operations, and Product; align technical direction and capacity planning with business and regulatory needs; and deliver API- and integration-heavy, data-driven systems that leverage analytics and AI to optimize user acquisition, onboarding, and retention.

Design, build, and deploy end-to-end machine learning solutions for payment risk and fraud. Responsibilities include data and feature engineering, model training, production deployment, platform/tool development, cross-functional collaboration, and ongoing analysis to mitigate fraud and deliver business impact.

Build and maintain user-friendly web interfaces for expense and procurement products using React and TypeScript. Implement micro frontend patterns, integrate with backend services via Apollo/GraphQL, collaborate with designers and PMs on shared UI components and design systems, participate in code reviews, triage bugs, and improve frontend engineering standards and observability.

Lead a zero-to-one agentic AI finance product: define strategy, design UX, iterate to product-market fit, and collaborate with engineering, design, commercial teams and customers to ship scalable AI automation across payments, payroll, bookkeeping and tax.

Lead the 0→1 development of an agentic AI finance product: define strategy, design UX, prioritize roadmap, partner with engineering, design, and customers to achieve product-market fit and scale.

Lead the global obligations management function: build and maintain a central obligations register, RFI knowledge base, and audit register; map regulatory and partner mandates to controls; drive automated GRC tooling and dashboards; partner with regional legal, compliance, risk, and audit teams to ensure traceable remediation and audit-ready evidence across jurisdictions.