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

Design and build multi-agent Generative AI business applications, architect RAG-based retrieval and multimodal systems, collaborate with product and infrastructure teams to align UX and capabilities, drive observability and performance optimization, ensure regulatory compliance, mentor stakeholders, and influence technical priorities across the enterprise.

Lead product strategy and adoption for data-driven omnichannel orchestration and automation. Define roadmaps, business requirements, and channel prioritization logic; partner with data, analytics, technical PMs, and stakeholders to enable segmentation, audience management, decision engine integration, and feature rollouts that deliver personalized customer journeys while ensuring compliance.

Develop, maintain, and productionize reproducible, scalable analytical workflows and tools for bulk and single-cell transcriptomic and epigenetic data. Collaborate with computational scientists to convert analyses into reusable components, integrate multimodal data formats, and provide interfaces for scientists and downstream systems.

Lead Business Operations and Portfolio Controls for Workplace Delivery, designing and implementing enterprise systems, standardized processes, and governance. Oversee estimating, scheduling, cost control, risk management, digital enablement (dashboards, analytics, BIM integration), procurement alignment, and business services to ensure disciplined execution of large campus projects and programs.

Lead Genentech's Workplace Delivery Project Management organization, setting strategy and standards, managing ~150 capital projects across campus, ensuring scope, budget, schedule, quality, safety, compliance, and stakeholder/governance engagement while developing PM talent and organizational capabilities.

The Senior Statistician leads statistical input and analysis for clinical trials, ensuring compliance and scientific rigor, and interprets results for decision-making.

Lead a centralized administrative function of ~70 professionals supporting 3,000 scientists. Define organizational design and strategic vision, partner with executives on operational effectiveness, implement modern training and AI-enabled tools, manage staffing and budgets, drive inclusion and career development, and foster a high-performing administrative community aligned with scientific goals.

Lead the product lifecycle for technology solutions in the biomedical field, integrating AI/ML and managing interdisciplinary product teams. Drive innovation, create user experiences, and oversee regulatory data management.

Lead AI/ML product vision and strategy across classical and generative techniques. Collaborate with Data Science, IT, and commercial teams to develop roadmaps, prioritize a product backlog, and translate user feedback and model metrics into enterprise AI features (next-best-action, automation, personalization). Drive end-to-end AI product lifecycle from ideation to post-launch optimization and partner with senior leaders to build business cases and ensure responsible AI governance.

The role involves developing AI models to enhance clinical trials by connecting molecular data with clinical outcomes and supporting decision-making processes in drug development.