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

Lead creation of developer-facing content—case studies, integration teardowns, technical explainers and reference builds—working with Product and Engineering to drive developer awareness and adoption across channels.

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.

Design, build, and deploy production AI agents and orchestration systems using tools like LangChain and LlamaIndex. Apply prompting, RAG, fine-tuning, and model selection. Architect agent reasoning and workflows, implement monitoring and evaluation, and integrate AI systems with backend and frontend services for scalable, reliable, compliant production deployments.

Design and implement scalable data models and ETL pipelines (batch and streaming), ensure data quality/SSOT, collaborate with product and platform teams to resolve issues, contribute to data governance, and explore practical integrations between data engineering and AI.

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.

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.

Build and lead internal AI tooling and automation for security: develop threat-hunting and remediation tools, own large-scale log and ETL pipelines, maintain Kubernetes and serverless infrastructure, partner with product teams to reduce risk, and mentor junior engineers.

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 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.