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

Lead and scale a global customer support engineering team for enterprise AI SaaS/PaaS products. Define support processes, KPIs, and roadmap; manage incident resolution, product upgrades, diagnostics, and cross-functional escalation; recruit and retain talent to meet customer satisfaction goals.

Lead product strategy and execution for foundational platform capabilities powering C3 AI products. Run discovery with customers and internal teams, define API/SDK requirements, prioritize investments using metrics, partner with engineering/architecture on trade-offs, drive releases and adoption, and ensure platform support for commercial and regulated deployment models.

Manage end-to-end accounts payable including invoice processing, vendor payments, and month-end close support. Execute domestic and international payment runs, maintain vendor master data, enforce SOX controls, drive procure-to-pay process improvements and automation (including AI tools), support audits, and collaborate with Procurement, Legal, Treasury, and FP&A to optimize cash flow and reporting.

Design, build, and maintain core platform services, developer tools, automation, and infrastructure-as-code. Improve CI/CD, release automation, and cloud provisioning. Own features end-to-end and collaborate with engineering and product teams to enhance scalability, reliability, and developer productivity.

Lead the development and implementation of the C3 AI Defense and Intelligence product suite, focusing on customer interaction, strategic direction, and marketing strategies. Collaborate with teams for successful product launches and communicate effectively with clients and industry leaders.

The Executive Assistant will support the CEO by managing communications, drafting correspondence, and ensuring follow-through on commitments while maintaining confidentiality and exercising good judgment.

Develop infrastructure and tools to integrate Generative AI into enterprise applications. Build scalable end-to-end ML pipelines on heterogeneous hardware, collaborate with data scientists to train/fine-tune models, lead product development for the Generative AI suite, mentor junior engineers, and own production deployments.

Lead and scale revenue operations across marketing, sales, and customer success. Own forecasting, pipeline management, GTM tech stack, deal desk and quote-to-cash, sales compensation, KPIs and executive reporting. Build and mentor a revenue operations team, drive process standardization, automation and AI-enabled workflows, and partner with Finance, Legal, and GTM leaders to operationalize predictable revenue growth.

Lead design and build of Generative AI infrastructure and tools, deploy large-scale ML/LLM models to production, enable scalable ML pipelines on heterogeneous hardware, collaborate with product and data science, lead cross-team architecture and technical discussions, manage projects, and mentor engineers.

Lead product strategy and roadmap for automating deployments of an enterprise AI platform across C3-managed, customer, and Federal clouds. Define deployment automation features, KPIs, and backlog; ensure multi-cloud and FedRAMP/DoD compliance; partner with Engineering, Cloud Ops, and Field teams to improve deployment repeatability, tenant onboarding, and operational readiness; and prioritize investments to scale reliable, secure, and auditable platform releases to all target environments.