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

Supports the SVP of Product Development and other senior executives by managing complex calendars, travel, meetings, communications, events, expenses, reporting, presentations, and department operations. Coordinates projects, programs, milestones, and stakeholder communications; prepares business materials and executive reports; handles confidential information; maintains office resources; and mentors fellow Executive Assistants while providing backup team support.

Lead design and scaling of ResearchOps infrastructure, including tools, vendors, governance, budgeting, and knowledge management. Improve participant recruitment, standardize workflows, forecast capacity and budget, define operational OKRs, and partner cross-functionally to streamline approvals. Build operational roadmaps, mentor team members, and deliver measurable reductions in research cycle time and improved research distribution and tooling adoption.

Lead digital content strategy and execution for ABC7, overseeing digital producers, publishing and promoting breaking news across social and web platforms, coordinating with broadcast teams, ensuring editorial standards, troubleshooting site issues, and using analytics to drive growth.

Lead strategy and execution for experimentation to improve registration and login success across Disney's global products. Define vision and priorities, partner with engineering, design, data science and regional stakeholders, run and scale experiments, analyze login/registration KPIs, ensure data quality, and influence product roadmap to drive customer access and acquisition.

Build and operate large-scale batch and streaming data pipelines and real-time feature infrastructure to support production ML. Develop ML-adjacent services, ensure reliability/observability, participate in on-call and incident response, and collaborate with ML, data, and platform teams to meet latency, availability, and data quality requirements.

The Sr Product Software Engineer will design, implement, and optimize ad decisioning software within a microservice environment, collaborating with data science and utilizing AI/ML technologies.

Perform manual build verification, regression, performance, software, tool, game, and immersive-experience testing. Execute test cases, maintain test plans, identify and document defects, collaborate with development teams, and support designers and engineers with gameplay and game-balance analysis. Improve QA procedures and test processes while testing PC, console, mobile, VR, and related hardware or connectivity.

Build and operate large-scale backend services and offline ETL pipelines in Java/Scala, deploy and maintain ML models, improve performance and reliability, diagnose production issues, develop test automation, and collaborate with cross-functional teams to evolve service architecture.

Own the strategy and roadmap for Disney’s commerce personalization engine across streaming products. Lead model improvements, data expansion, surface experimentation, and cross-functional execution with ML Engineering, Data Science, Analytics, Product, and Marketing teams. Define North Star metrics, experimentation frameworks, holdouts, and LTV-driven success criteria. Launch personalization capabilities, prioritize investments by ROI, communicate results to leadership, and influence stakeholders without direct authority.

Leads personalization analytics for Disney+ and Hulu by designing and interpreting A/B tests, conducting statistical and causal analyses, improving datasets and instrumentation, and translating user behavior data into strategic product recommendations. The role partners with product, engineering, business leadership, and machine learning teams, develops reporting and visualization foundations, manages analytical projects end to end, and uses AI tools to accelerate analytics engineering and stakeholder insights.