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

Lead and scale C3 AI's global partner ecosystem (hyperscalers, GSIs, ISVs). Define alliance strategy, negotiate multi-year agreements, drive co-sell motions, partner-sourced revenue, marketplace programs, and lead a global alliances team while engaging executives and coordinating cross-functional go-to-market execution.

Manages professional services operations, including staffing, forecasting, capacity planning, utilization, margins, reporting, vendor management, and delivery escalations. Builds and maintains AI agents, dashboards, and internal applications that automate workflows and improve delivery visibility. Partners with engineering, finance, and delivery leadership on technical requirements, planning, organizational changes, tooling decisions, and staff training.

Leads B2B enterprise demand generation strategy and execution, owning qualified pipeline, budgets, campaigns, MQL definitions, lead scoring, nurturing, attribution, funnel analytics, and Sales handoff. Builds an analytics-driven marketing practice, applies AI to campaign production and personalization, manages agencies and media partners, collaborates cross-functionally, supports events and communications, and mentors a growing team.

Design, develop, test, and maintain scalable full-stack capabilities for the C3 AI Platform. Build platform services, APIs, developer tools, and application features that support large-scale AI applications. Collaborate with product managers, designers, and engineers, troubleshoot issues across the technology stack, participate in code reviews, and improve platform quality, performance, and reliability.

Design, develop, debug, test, and deploy scalable AI-powered enterprise applications on the C3 Agentic AI Platform. Build data analysis tools, assess technical risks, create documentation, and support customer demonstrations, proofs-of-technology, training, and production deployments. This full-stack engineering role involves direct customer engagement and collaboration with senior engineers.

Leads strategic, quota-carrying sales engagements with Global 1000 customers. Develops AI use cases, digital transformation roadmaps, customer engagement plans, strategic accounts, partnerships, and business development opportunities. Collaborates with sales, engineering, product, and marketing teams to deliver customer outcomes and new offerings. Requires technical fluency in AI and machine learning, strong consulting and communication skills, and travel to customer sites up to 50% or more.

Leads and scales C3 AI’s Americas Forward Deployed Engineering organization, overseeing 50–100 engineers and multiple FDE managers. Owns technical execution, customer delivery, architecture, engineering standards, staffing, talent development, organizational performance, and executive communication. Partners with sales, product, platform, engineering, and industry leaders to deliver production-quality enterprise AI applications, resolve escalations, and translate customer needs into scalable solutions. Travel to customer and company locations is required.

Drives feature-level strategy, requirements, roadmap planning, execution, and deployment for C3 Generative AI products. Collaborates with engineering, data science, marketing, sales, and customers to translate technical and market needs into product specifications and software capabilities. Conducts customer scoping sessions, demos, and analyst presentations, while supporting marketing collateral and feature releases.

The Vice President of Marketing will lead global brand, demand generation, ABM, field and partner marketing, developer relations, positioning, product launches, PR, and events. The role owns pipeline generation, marketing attribution, CAC, budget allocation, sales alignment, partner co-marketing, and team development. Reporting to the CEO, this hands-on, in-office leader will strengthen marketing execution, communicate the value of C3 AI’s enterprise platform, and drive measurable brand and revenue impact.

Software Engineer Interns will design, develop, and maintain scalable AI applications; build internal tools for analyzing large-scale data; collaborate with Product and Engineering teams; and lead application development end to end. Interns will join Platform or Forward Deployed Engineering teams and contribute production code while applying object-oriented programming, data structures, algorithms, profiling, and optimization skills.