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

Conduct user research during the Discover phase to understand user needs, define project scope, and shape foundational design strategy. Apply information architecture and early-stage prototyping to inform product decisions and guide development. Collaborate with cross-functional teams and translate insights into actionable recommendations.

Lead cross-functional programs to plan, execute, QA, and optimize customer lifecycle and email campaigns. Own full program lifecycle from intake and scoping to delivery, testing, and reporting. Coordinate stakeholders and technical teams, manage configuration and deployment of complex email journeys in platforms like Zeta/SFMC/Braze/Emarsys, drive personalization/segmentation/A/B testing, support data integrations, and monitor performance to recommend improvements.

Design, develop, optimize, test, and deploy high-performance data processing applications and ETL pipelines using Apache Spark and Scala within the Cloudera ecosystem. Collaborate with data scientists and analysts, ensure data integrity and security, troubleshoot performance issues, and implement version control and CI/CD for Spark applications.

Design, implement, and maintain Java-based applications to automate complex data reconciliation across relational and NoSQL sources. Build matching algorithms, integrate with rules engines (Drools), handle data streams, perform gap analysis, and collaborate with analysts and architects to ensure data quality.

Lead strategic programs end-to-end: plan, budget, allocate resources, manage risks, measure KPIs, and drive continuous improvement. Build and lead cross-functional teams, communicate with stakeholders and customers, and ensure financial and performance accountability to deliver complex projects.

Support recruiting operations by posting jobs, tracking candidate status, scheduling and coordinating interviews, collecting feedback, managing onboarding documents and background check results, and improving the candidate experience.

Design, develop, optimize, and deploy large-scale data processing applications using Scala and Apache Spark within the Cloudera Hadoop ecosystem. Build ETL pipelines, ensure data integrity and performance, troubleshoot Spark/Cloudera issues, collaborate with data scientists and analysts, and implement version control and CI/CD for Spark applications.

Lead and manage creative workstreams, produce and review design deliverables (branding, comps, style guides, layouts), contribute to information architecture and content structures, coordinate cross-functional and offshore resources, and ensure design solutions are technically feasible and transferable to development teams.

Lead front-end architecture and a team to design, develop, and maintain scalable React/Next.js applications. Architect reusable components, enforce coding standards, mentor developers, write and drive unit/integration/e2e tests (Jest, RTL), optimize performance, troubleshoot production issues, and collaborate with designers, product, and backend teams on technical roadmap and estimations.

Lead QA for API testing: design and execute RESTful API test cases (payment initiation/status), develop and maintain Pytest automation in Python, use Postman and Git, integrate tests into CI/CD, document results, identify and track defects, and collaborate with development and product teams to resolve issues.