C3 AI is seeking a Manager / Senior Manager, Strategic Alliances to own and grow C3 AI's relationships with leading foundation-model providers, beginning with OpenAI and Anthropic. As the single point of accountability for these partnerships, you will build the joint go-to-market motion, drive partner-sourced and partner-influenced pipeline, and serve as the connective tissue between our partners' product and field teams and C3 AI's sales, product, and engineering organizations. This is a builder's role for someone who is equal parts strategist and seller, and who is fluent enough in modern AI to be credible with technical and executive audiences alike.

Responsibilities

• Own the end-to-end relationship with OpenAI and Anthropic, including the joint business plan, shared goals, and quarterly operating cadence.
• Develop and execute a joint go-to-market strategy that drives partner-sourced and partner-influenced pipeline and closed revenue.
• Build co-sell motions with C3 AI field sales and the partners' sales and solutions teams; identify, register, and progress joint opportunities.
• Define and launch joint solutions and reference architectures that combine partner models with the C3 Agentic AI Platform.
• Drive co-marketing activity, including joint content, events, and demand-generation campaigns.
• Serve as the internal advocate for each partner, coordinating across sales, product, engineering, marketing, legal, and operations to remove friction and accelerate deals.
• Establish and manage partnership KPIs, including sourced pipeline, win rate, influenced revenue, and joint solution adoption; report progress to senior leadership.
• Maintain a deep, current understanding of each partner's model roadmap, licensing, and competitive positioning.

Qualifications

• Bachelor's degree in engineering, computer science, or a related technical field; MBA strongly preferred (recent graduates welcome to apply).
• 3–5 years in management consulting, enterprise sales, business development, or partnerships, ideally including time at an AI, developer-platform, or technical-infrastructure company (or serving clients of this profile).
• Hands-on fluency with the modern AI stack — LLM APIs, fine-tuning, RAG, evaluation, and agentic patterns (e.g., tool/function calling, orchestration frameworks, MCP) — sufficient to engage credibly with product managers, developer-relations, and research-adjacent stakeholders at a frontier lab.
• Working knowledge of the foundation-model landscape: how leading models differ in capability and cost, how enterprises evaluate build-vs-buy, and the key trends, risks, and responsible-AI / safety considerations shaping the space.
• Demonstrated ability to carry and influence a revenue or pipeline number, and to translate a partner's product roadmap into joint go-to-market motions.
• Excellent written and verbal communication, with the executive presence to operate with senior partner stakeholders and the technical credibility to earn trust with their product and engineering teams.
• Strong cross-functional collaboration skills and the ability to thrive amid rapid product change and ambiguity — comfortable keeping pace with partners who ship constantly.
• Willingness to travel to partner and customer sites as needed.

Candidates must be authorized to work in the United States without the need for current or future company sponsorship.