Jobs at C3 AI

Lead and scale Analyst Relations for C3 AI, defining AR strategy, targeting and engaging industry analysts, managing evaluations (Gartner, Forrester, IDC), crafting narratives, enabling executives, and translating analyst insight into product, competitive, and GTM intelligence.

Deploys, operates, and improves scalable, fault-tolerant cloud infrastructure. Responsibilities include maximizing uptime, building monitoring and alerting, troubleshooting critical services and Kubernetes workloads, automating system updates, creating infrastructure and deployment tooling, and collaborating with Services and Engineering teams. The role requires expertise in Linux, cloud platforms, Kubernetes, databases, configuration management, scripting, and infrastructure as code.

Process semi-monthly, multi-state U.S. payroll, including benefits, equity, retirement contributions, and loans. Coordinate payroll-impacting employee changes with HR, maintain regulatory compliance, prepare journal entries, support reconciliations and audits, and assist accounting operations. Serve as the payroll contact and support benefits, workers’ compensation, insurance, and payroll cash flow requests.

Owns C3 AI’s corporate social media, internal newsletter, blog, executive communications, and announcement content. Develops editorial strategy, repurposes stories across channels, supports PR and events, identifies media opportunities, maintains consistent messaging, and analyzes content performance. Requires strong writing, editing, communications, and PR experience, along with the ability to explain AI and enterprise technology to business audiences.

MBA Product Manager Intern supporting C3 AI’s agentic AI platform and domain-specific applications. Responsibilities include writing product specifications, defining success metrics and evaluations, prototyping and testing features, assessing agent accuracy and reliability, and partnering with engineering, design, data science, and go-to-market teams to deliver product improvements.

Designs and delivers technical learning experiences for developers, solution architects, and data scientists using the C3 Agentic AI Platform. Responsibilities include creating courses, videos, labs, projects, code packages, and AI application training; collaborating with Product and Engineering; applying instructional design principles; using content creation tools; and improving materials through customer feedback.

Own and produce developer documentation, including guides, tutorials, reference content, and code examples for an enterprise AI platform. Investigate complex technical concepts, conduct content gap analyses, manage documentation projects, and collaborate with engineers, product managers, writers, and customers. Maintain high standards for accuracy, clarity, consistency, and timeliness while contributing to documentation standards, tools, and processes.

Develop and maintain scalable full-stack applications and visual tools for enterprise AI application development and data science. Collaborate with product managers, designers, and engineering teams throughout the software lifecycle. Responsibilities include designing performant applications, resolving bugs, solving complex engineering problems, improving products, and contributing to team growth and innovation.

Own the C3 Code product roadmap and end-to-end builder journey from activation through retention. Shape coding-agent capabilities, MCP integrations, enterprise controls, evaluation metrics, and product-led growth loops. Partner with engineering, data science, design, go-to-market, customers, and forward-deployed teams to translate workflows into requirements, ship rapidly, analyze usage and model traces, synthesize feedback, and support demos and workshops.

Lead C3 AI’s product marketing organization across its Agentic AI Platform, enterprise AI applications, and generative AI products. Responsibilities include building and managing the team, shaping product positioning and strategy, influencing the roadmap through customer insights, enabling sales, developing content and campaigns, supporting pricing, engaging analysts, presenting publicly, and driving customer advocacy. Regular travel exceeding 25% is required.

Build and grow C3 AI’s management-consulting alliance with McKinsey. Responsibilities include developing consulting relationships, executing joint go-to-market plans, generating partner-sourced and influenced pipeline, supporting solution development and account pursuits, coordinating cross-functional teams, tracking alliance KPIs, and representing C3 AI in partner and customer engagements.

Design C3 AI applications and support the design system by researching customer needs, prototyping AI-enabled experiences, documenting concepts, collaborating with product and design teams, and promoting design best practices. The role emphasizes strong visual craft, pixel-perfect execution, accessibility, data-informed decisions, stakeholder communication, and consistent user experiences across products.

Owns end-to-end release management for the C3 Agentic AI Platform, including scope, scheduling, readiness criteria, risk management, go/no-go decisions, deployment, rollback, incident resolution, communications, tooling, metrics, retrospectives, and process improvements. The role partners with engineering, product, data science, quality, infrastructure, and cloud operations teams to deliver reliable enterprise AI platform releases.

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.

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.

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.

Support development of AI-powered enterprise applications by designing and deploying machine learning algorithms for industrial use cases such as fraud detection and predictive maintenance. Collaborate with data scientists, AI engineers, subject matter experts, and customers to identify, validate, and interpret data. Apply scalable machine learning, generative AI, and agentic AI techniques on the C3 Agentic AI Platform.