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

Leads Genentech’s in-house content studio and digital operations, defining strategy, scaling global capabilities, managing creative and operational teams, optimizing content supply-chain workflows, and overseeing campaign planning, production, regulatory review, distribution, analytics, vendors, budgets, and technology adoption. The role drives transformation through automation, AI-enabled services, lean process improvement, and high-volume multichannel content production in a regulated environment.

Lead the architecture, integration, commissioning, and verification of autonomous laboratory automation platforms. Translate scientific workflows into executable automated processes involving robotics, instruments, control software, interfaces, and data systems. Define AI-to-execution interfaces, engineer unattended operation and recovery capabilities, establish reusable engineering standards, and transition validated systems into routine Lab Operations. Provide technical leadership, mentor engineers, and coordinate vendors and system integrators.

Leads the design, development, deployment, and industrialization of causal AI, experimentation, statistical, econometric, and machine learning models. Drives measurement and optimization initiatives, translates business objectives into scalable technical solutions, mentors data scientists, reviews designs and code, and communicates complex causal methodologies to technical and business stakeholders. Requires deep expertise in causal inference, experimentation, measurement, optimization, cloud and big-data environments, and production data science systems.

Paid 12-week, full-time MBA finance internship supporting budgeting, forecasting, business planning, investment valuation, R&D portfolio planning, biopharma program valuation, cost benchmarking, and manufacturing optimization. Interns own impactful projects, present findings to senior leaders, collaborate across teams, and participate in professional development and program activities. The position is onsite in South San Francisco, California, beginning June 2027.

Designs, builds, and scales AI-enabled tools, agentic workflows, analytical components, and data innovation frameworks for clinical, real-world, and operational data. Partners with scientists, engineers, product teams, and external collaborators to pilot emerging technologies, evaluate unconventional data sources, and support scientific decision-making. Provides innovation expertise and mentorship while ensuring traceability, human oversight, data privacy, security, and regulatory compliance.

Lead the development and deployment of Physical AI and robotics systems for autonomous lab automation. Build 3D perception, motion planning, digital twins, simulation, multimodal vision models, edge inference, visual servoing, and closed-loop control systems. Integrate robotic hardware and laboratory APIs while validating sim-to-real performance and anomaly recovery for sustained operation in drug discovery workflows.

Provides strategic administrative and operational support to the VP of Biomarker Operations, Diagnostics and Technology. Responsibilities include complex calendar and meeting coordination, confidential executive support, event and conference planning, stakeholder communication, onboarding and offboarding, employee engagement, global travel logistics, expense reporting, and vendor coordination. The role requires independent prioritization, excellent communication, strong organizational skills, and proficiency with Google Workspace and Zoom.

Owns strategy, roadmap, requirements, governance, and operational oversight for territory and roster management products. Partners with business stakeholders and engineering teams to optimize territory assignments, roster management, talent-flow insights, data quality, and integrations. Leads product adoption, change management, UAT, reporting, stakeholder alignment, and business-value measurement across a regulated healthcare organization.

Designs scalable omnichannel architecture for Genentech, including customer data, identity, integrations, segmentation, personalization, orchestration, activation, and analytics. Leads Adobe Experience Platform architecture across RT-CDP, Journey Optimizer, and Customer Journey Analytics. Establishes data models, integration patterns, governance, privacy, security, and compliance standards while guiding product, engineering, data, business, and vendor teams. Defines the architecture roadmap, evaluates technologies, manages risks, and translates business needs into sustainable technical solutions.

Owns the strategy, roadmap, backlog, and delivery of Roche’s 3PD patient data ecosystem. Leads data acquisition, ingestion, integration, quality, governance, privacy, and enablement for analytics, AI/ML, and decisioning platforms. Partners with architecture, engineering, business stakeholders, and vendors to manage dependencies, risks, technical debt, compliance, and operational reliability while driving scalable, reusable data capabilities.