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

Lead strategic alliances and business development by identifying, negotiating, and managing partner relationships. Drive partner-sourced revenue, design joint go-to-market plans and partner marketing, oversee onboarding and solution accelerators, manage opportunity pipeline, and advise senior management on partnership strategy and outcomes.

Lead development and maintenance of React Native mobile apps, collaborate with cross-functional teams and back-end developers, implement UX goals, write clean code, perform code reviews, optimize app performance, and stay current with mobile development trends.

Hands-on Oracle technical lead responsible for design, coding, and code reviews with vendor developers. Requires extensive Oracle PL/SQL development, database design, performance tuning, and query optimization expertise. Oracle Flexcube experience is a plus.

Lead end-to-end delivery of Agentic AI programs, defining roadmaps, coordinating cross-functional teams, managing risks and dependencies, enabling AI platform capabilities (RAG, LLMs, vector DBs), and engaging customers to align solutions with business outcomes.

Design and implement mobile analytics and payment architecture, create Adobe Experience Platform SDK analytics tags, capture analytic data using JavaScript and React Native, validate analytics pipelines, lead development with designers and QA, coordinate with backend and analytics teams, produce estimates and proposals, and manage App Store and Play Store delivery. Travel/relocation across the U.S. required.

Lead UX design for complex user interfaces, create wireframes/prototypes in Figma, drive data-informed design, conduct user research and usability testing, present decisions to stakeholders, integrate design standards into engineering workflows, facilitate workshops, apply AI tools to UX, and ensure clear documentation and developer handoffs to deliver user-centered end-to-end solutions.

Design, implement, test, and maintain scalable Java/J2EE microservices using Spring technologies. Collaborate with architects, follow SDLC, perform unit/system testing, troubleshoot distributed cloud applications, and work in Agile teams to meet enterprise performance and security standards.

Design and implement scalable data pipelines and orchestration on GCP to support AI/ML-driven mail intelligence. Build stream and batch processing, ensure data governance and quality, optimize workflows, create visualizations, and collaborate with US cross-functional teams to align technical strategy and recover from failures.

Lead development of scalable AI/ML capabilities for Mail Intelligence: build LLM- and ML-based personalization, data pipelines, tools, and observability. Mentor engineers, collaborate cross-functionally, run A/B tests, implement feedback loops, and balance cost/quality/speed tradeoffs to deliver production-grade solutions.

Lead QA team to develop and implement QA strategies, automation frameworks (mobile-focused), integrate testing into CI/CD, measure quality with KPIs, manage defects, mentor engineers, and report testing progress to stakeholders.