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

Lead end-to-end product design by driving discovery, user research, prototyping, and high-fidelity UI delivery. Partner with product and engineering in Agile teams, champion UX and accessibility, leverage AI design tools, present findings to stakeholders, and mentor other designers to scale design practices.

Lead product vision, strategy, and roadmap for digital experience products. Manage backlog, collaborate with design, engineering, and stakeholders, drive development of CMS and marketing technology solutions, facilitate Agile ceremonies, track KPIs, and oversee launches and continuous improvement.

Lead requirements discovery, translate business goals into user stories, align stakeholders, groom product backlog, provide functional clarity to development squads, and produce process maps and functional specs.

Lead modernization of the Salesforce ecosystem by optimizing development practices, reducing technical debt, improving performance and integrations, enforcing best practices (Service Cloud/Apex/API), implementing version control, and providing technical leadership, documentation, and training to enable scalable, cost-effective solutions.

Lead design and delivery of cloud-native, high-performance APIs and backend microservices using Node.js (NestJS/Express). Drive event-driven architectures, API governance, cloud deployments, observability, and mentor engineering teams to build scalable, resilient systems for digital commerce and customer engagement.

Lead architecture and delivery of Java-based microservices, define standards, mentor engineers, collaborate with stakeholders on technology roadmap, ensure scalability, resilience, monitoring, CI/CD, and data governance for large-scale production systems.

Senior Business Systems Analyst to define requirements for agent-facing servicing applications, design integrations/APIs with core banking systems, translate needs into user stories and acceptance criteria, improve agent workflows and productivity, and identify AI/ML opportunities for fraud detection, automation, and operational analytics. Supports testing, validation, and releases.

Define and govern end-to-end enterprise architecture across frontend, backend, integration, and cloud platforms. Establish architectural vision, guardrails, and decision frameworks; drive platform strategy, resilience, scalability, and governance. Collaborate with architects, tech leads, product, security, and operations; mentor technical leaders and guide platform, frontend, backend, and cloud implementations for web, mobile, desktop, and retail environments.

Design, build, and deploy production-grade generative AI systems: multi-agent orchestration, advanced RAG with vector databases, integrate/swap LLMs, fine-tune models, optimize prompts and latency, and containerize services with monitoring and CI/CD.

Lead quality engineering for cloud-based financial advisor platforms by designing and implementing automated tests, test strategies, CI/CD pipelines, observability, and mock services. Collaborate with product, architecture, and engineering teams to modernize applications, coach peers, and ensure high-quality deliveries using Agile practices.