Top Tech Jobs & Startup Jobs in San Francisco, CA

Client-facing Solutions Architect designing and delivering scalable cloud, data, and AI-enabled solutions. Lead end-to-end projects, advise clients on technology strategy, ensure scalable/resilient architectures, mentor teams, drive delivery using agile methods, and collaborate globally to translate business needs into practical data solutions.

Lead architecture, design, and delivery of large-scale, distributed GenAI-enabled systems. Manage engineering teams building APIs, services, data and AI layers; set standards, run design and code reviews, ensure production readiness, observability, scalability, and CI/CD. Partner with Product, AI/ML, DevOps, and Data teams; mentor engineers and drive platform evolution, reuse, and technical excellence.

Lead end-to-end cloud and data technology projects for clients, ensuring scalable, resilient solutions; manage delivery, budgets, and teams; mentor staff; collaborate globally to develop business cases, drive innovation, and reduce project risk.

Lead and scale ZAIDYN's AI Engineering organization, own agentic platform architecture and integrations (AWS Bedrock AgentCore), enforce production-grade AI standards (eval frameworks, LLMOps, observability), hire and manage engineering teams, drive multi-agent/RAG systems to GA, and represent the platform externally to clients and executives.

Work with clients to design and implement AI-driven business and digital strategies. Conduct market and desk research, build financial and operational models, design AI programs with governance and responsible AI focus, collaborate with data scientists, present insights, manage project plans, and mentor junior team members to drive adoption and client outcomes.

Design and apply advanced statistical models and analytics to inform client decisions. Build custom analyses and visualizations, synthesize findings, present recommendations, manage project deliverables, develop client relationships, mentor junior team members, and support solution implementation.

Design and lead advanced quantitative research studies and analyses (e.g., experimental design, conjoint, regression, segmentation). Translate client needs into rigorous research plans, present actionable insights to senior stakeholders, mentor junior staff, and drive methodological innovation across projects.

Work on client-facing digital customer experience engagements to assess digital maturity, define digital vision and roadmaps, design future-state technology and analytics architectures, and lead implementation of marketing cloud, analytics, content management, CRM and campaign management solutions. Analyze marketing data, establish tagging, and build dashboards to measure campaign performance while collaborating with brand and marketing operations stakeholders.

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.

Lead design of AI-powered enterprise and healthcare products, translating analytics into scalable interaction patterns, guiding research and GenAI-driven prototyping, mentoring designers, evolving design systems, and partnering with clients to define AI experience strategy and deliver production-ready designs.