Top Tech Jobs & Startup Jobs in San Francisco, CA

Lead analytic project teams to define scope, design and execute analyses, develop hypotheses, synthesize findings, and present recommendations to clients. Provide thought leadership, support business development, coach junior staff, and contribute to internal initiatives in a client-facing, travel-required consulting environment.

Lead large-scale cloud, data, and AI-driven transformation programs for High‑Tech clients. Drive business development, senior client relationships, and solution design leveraging cloud-native architectures, modern data engineering, analytics, ML/GenAI, and commercial systems. Oversee onshore-offshore delivery, shape technology strategy, and build reusable accelerators to scale outcomes.

Lead and grow the ZS–Google Cloud alliance: own governance and KPIs, develop joint GTM and co-sell strategies, drive pipeline and revenue, enable internal teams, and expand joint solutions and marketing.

Lead business development and delivery of complex supply chain transformations for high-tech and data center clients. Manage client relationships, design supply chain analytics and solutions (inventory, demand/capacity planning, network design, supplier performance), lead cross-functional teams, present executive recommendations, and coach project team members.

Develop and apply advanced statistical and machine learning algorithms to high-dimensional problems, perform hypothesis testing and data mining, create analyses and visualizations, collaborate with clients to communicate findings, and evaluate emerging datasets and analytical technologies.

Lead and execute AI partnership strategy to grow alliances and co-sell pipeline. Track KPIs and governance, develop joint GTM and scalable AI solutions, deepen account alignment, enable internal teams, coordinate partner marketing, and drive revenue through executive relationship and joint business planning.

Design intuitive, data-rich, AI-powered digital experiences for healthcare and life sciences. Create user flows, wireframes, prototypes, high-fidelity UIs, and design system components; leverage AI across research, ideation, prototyping, and design-to-code workflows; collaborate with product, data science, and engineering; ensure usability and accessibility; support client-facing design sprints and strategy.

Lead design, development, and deployment of scalable LLM/ML systems (RAG, PEFT, agentic workflows). Architect cloud and Databricks solutions, implement DevOps (Docker, Kubernetes, IaC), mentor teams, manage client relationships, ensure code quality, and enforce responsible-AI guardrails and governance from data through model outputs.

Work with clients to define business information needs, analyze data using advanced modeling and analytics tools, and deliver clear, executive-ready recommendations. Lead projects, manage teams, support retail/operations or supply chain decisions, leverage AI tools to enhance insights, and be client-facing with readiness to travel for engagements.

Own and monetize technology partnerships (cloud and data platforms) end-to-end: build GTM and co-sell strategies, manage pipeline and partnership revenue targets, lead joint presentations/demos, enable internal teams, and cultivate executive-level relationships across partners, clients, and cross-functional stakeholders to drive measurable business outcomes.