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

Lead strategy, roadmaps, stakeholder alignment, partner management, user research, analytics, and delivery for consumer companion apps supporting chronic disease management. Translate research and data into product priorities, influence senior leaders, champion consumer experience and accessibility, establish scalable technical standards, and track KPIs. May oversee UAT, launches, research, and data functions.

Lead strategy, roadmaps, development, and execution for LillyDirect’s consumer digital product portfolio. Drive customer satisfaction, loyalty, and business outcomes across web, mobile, app, chat, email, and phone experiences. Partner with engineering, design, operations, vendors, and executives to deliver scalable, accessible, frictionless products. Champion consumer insights, technical standards, user experience, and direct-to-consumer e-commerce best practices while managing complex, high-growth initiatives.

Own the strategy, discovery, roadmap, launch, and ongoing performance of a product that scales Lilly’s life sciences expertise for early-stage biotech companies. Conduct user research, define priorities, write specifications, make scope decisions, establish success metrics, and partner with engineering, design, data science, and drug development teams. Mentor product peers, support hiring, navigate enterprise security and compliance, and apply AI/ML and LLM expertise to build reliable, regulated products.

Owns financial planning, revenue forecasting, performance analysis, and decision support for LillyDirect’s e-commerce operations. Builds CAC, LTV, payback, marketing efficiency, and channel investment models; develops business cases; supports competitive benchmarking; prepares management reporting; and improves financial data infrastructure. Partners with marketing, commercial, product, BI&A, and finance teams to translate digital metrics into strategic recommendations for senior leadership.

Build and operate scalable AI and high-performance computing platforms across GPU, cloud, and on-premises environments. Administer Linux, HPC clusters, distributed computing, scheduling, storage, networking, and NVIDIA GPU infrastructure. Automate infrastructure and ML workflows using configuration management and containers, while improving reliability, performance, monitoring, resource utilization, and cost efficiency. Collaborate with scientists, engineers, and infrastructure teams to support large-scale training, inference, and experimentation.

Lead development of agentic AI systems that autonomously plan, execute, analyze, and optimize laboratory experiments. Build integrations with robotic platforms and analytical instruments, implement closed-loop learning, deploy reliable containerized services, and ensure experiment data supports downstream model training. Own the platform roadmap, reliability, adoption, and technical direction while managing and mentoring a team of scientist-engineers. Collaborate with chemists, biologists, automation engineers, NVIDIA, vendors, and senior R&D leadership.

Engineer agentic AI and automation integrations connecting planning systems with laboratory instruments, robotic platforms, ELN/LIMS, and data pipelines. Build multi-agent workflows with orchestration, state management, tool integration, error recovery, and human oversight. Deploy containerized services using Docker, Kubernetes, Argo, GitOps, and CI/CD. Collaborate with scientists, automation engineers, and NVIDIA researchers to transition prototypes into reliable autonomous experimentation systems for drug discovery.

Leads scientific direction and technical strategy for large-scale AI research programs advancing drug discovery. Oversees AI scientists and engineers, develops foundation and generative models, designs discovery learning cycles, leads distributed multi-GPU training and inference, and builds high-performing interdisciplinary teams. Requires expertise in machine learning, computational chemistry or biology, rigorous model evaluation, experimental workflows, and scientific leadership.

Build and own TuneLab’s AI/ML-powered SaaS product for biotech customers. The Staff Software Engineer will develop full-stack application workflows, integrate Lilly’s drug-discovery models, make architecture decisions, establish engineering practices, and ship reliable customer-facing software. The role also includes mentoring engineers, supporting hiring, influencing product strategy, navigating enterprise infrastructure and compliance, and working with external biotech partners.

Build and own full-stack product features that turn Lilly’s AI and drug-discovery models into a scalable SaaS platform for biotech customers. Responsibilities include frontend and backend development, API integrations, cloud deployment, testing, releases, on-call support, architecture contributions, mentoring, customer collaboration, and navigating enterprise security and compliance requirements.