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

Supports the CEO by managing complex calendars, global travel, meetings, executive communications, confidential information, contracts, purchase orders, expenses, and pre-read materials. Partners with the CEO support team, coordinates high-profile stakeholder engagements, improves administrative workflows through AI and enterprise systems, supports onboarding, and mentors the administrative community. The role requires high judgment, discretion, autonomy, flexibility, and frequent in-person work in South San Francisco.

Leads finance automation initiatives from intake and feasibility assessment through design, deployment, monitoring, and continuous improvement. Owns the automation roadmap, prioritizes opportunities, establishes standards, embeds controls, tracks business value, and coordinates Finance, IT, Data, Governance, Controls, and vendors. Drives adoption through training, rollout support, hypercare, and stakeholder influence while delivering workflow automation, RPA, data automation, and AI-enabled solutions.

Leads the strategy, roadmap, lifecycle, and adoption of enterprise analytical data products. Owns product backlogs, stakeholder alignment, agile execution, data quality frameworks, governance, architecture guidance, compliance, and value optimization. Partners with data scientists, analysts, engineers, business leaders, Legal, Compliance, and Privacy teams to deliver scalable data solutions and improve business outcomes.

Leads the strategy, roadmap, execution, and optimization of forecasting and AI data products. Manages product backlogs, stakeholder demand, data quality frameworks, governance, architecture, adoption, and performance. Partners with data scientists, engineers, business leaders, Legal, Compliance, and Privacy teams to deliver scalable, compliant solutions. Guides data architecture and build-versus-buy decisions while driving measurable business value and mentoring agile squads.

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.

Leads global legal spend management, governance, analytics, budgeting, pricing negotiations, law firm panel management, and Alternative Legal Service Provider integration. Oversees e-billing and matter management system adoption, modernizes legal pricing models, evaluates external counsel and LegalTech partners, and develops data-driven vendor management practices. The role manages large global budgets, builds international teams, influences senior stakeholders, and drives technology-enabled efficiency across legal and compliance divisions.

Six-month, on-site internship supporting pharmaceutical technical development through digital science projects. Responsibilities include building data-processing workflows, visualization dashboards, software applications, databases, and data science models; analyzing mass spectrometry data; benchmarking analytical platform performance; and improving data extraction and processing throughput. Interns present projects to senior leaders and participate in professional development and program activities.

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.

Provides strategic legal counsel to Roche’s pharmaceutical R&D functions across research, clinical operations, product development, medical affairs, AI, data privacy, and human-subject protections. Drafts and negotiates research collaboration and data-sharing agreements with external partners, develops legal guidance and training materials, and collaborates with global legal, regulatory, ethics, scientific, and business stakeholders. The role requires advanced knowledge of FDA, healthcare fraud and abuse, privacy, and human therapeutics regulations.

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.