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

Design and operate scalable, event-driven backend systems in Python to power agentic AI workflows and real-time financial infrastructure. Own APIs, data architecture, reliability primitives, and platform foundations while partnering with ML and product teams to productionize AI-native financial systems.

Lead and scale Airwallex's global second-line risk management function. Build frameworks, governance, metrics, and monitoring; partner with cross-functional teams and executives to define risk appetite, mitigate enterprise risks (fraud, financial crime, counterparty, operational), embed risk culture, and recruit and develop a global risk team to support growth across products and markets.

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.

Lead and scale Rewards and Campaigns growth experiments end-to-end: design hypotheses, define segments, run tests, measure impact across acquisition, activation, retention and revenue; build experimentation frameworks and instrumentation; partner with Product, Engineering, Data Science, Marketing, and Creative to ship scalable programs; synthesize insights for strategy and present recommendations to senior leadership.

Build and implement Airwallex's global social impact strategy; drive platform adoption among social enterprises, nonprofits, and multilaterals; launch and scale impact initiatives; cultivate external partnerships; support ESG, giving, volunteering, and data-for-good programs; lead communications and stakeholder engagement.

Design and operate scalable, event-driven backend systems in Python for AI-native financial products. Build typed APIs (FastAPI + Pydantic), own data and ledger architectures, develop reliability primitives, partner with ML teams to productionize models, and ship platform foundations for audited, high-throughput financial workflows.

Lead and grow a data engineering team to build and maintain data models, batch and streaming ETL pipelines, and governance practices. Partner with platform, product, and business stakeholders to ensure reliable, governed, and scalable data for BI, ML, and operations while driving AI strategy and technical direction.

Build and maintain native iOS and Android apps, own design and delivery of features, influence mobile architecture, collaborate with product and design, ensure high code quality and test coverage, maintain CI/CD pipelines, and act as a hands-on technical leader for mobile platform evolution.

Lead corporate transactions globally, managing fundraising, financings, M&A, secondary sales, governance, and entity structuring. Advise senior execs, coordinate cross‑functional and regulatory teams, manage external counsel, and build scalable transaction playbooks and LegalTech/AI‑enabled processes.

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.