Industry Solution Leader - Food & Agriculture (Agricultural Production)
About this role
C3 AI develops enterprise artificial intelligence application software, including the C3 Agentic AI Platform and domain-specific generative AI solutions for global organizations. This role leads the design and delivery of enterprise AI solutions tailored to food and agriculture, focusing specifically on agricultural production and related supply chain operations. Team members direct customer engagements from initial problem definition through deployment, collaborating directly with client executives, technologists, and operational teams.
Professionals in this position define solution strategies, translate operational challenges into technical frameworks, and guide cross-functional teams of forward-deployed engineers and data scientists. Successful candidates bring substantial domain expertise in agricultural operations or supply chain planning, paired with technical judgment and the ability to manage complex customer engagements.
What you will do
- Own the overall solution strategy, technical direction, and delivery outcomes for assigned customer engagements from problem definition through production deployment.
- Serve as the primary customer-facing solution leader and domain expert, developing a deep understanding of customer planning processes and operational workflows.
- Translate complex agricultural supply chain and operational challenges into tractable AI, machine learning, and optimization problems with defined success criteria.
- Lead cross-functional teams of forward-deployed engineers, data scientists, product managers, and industry experts to drive alignment around customer outcomes.
- Collaborate directly with customer planners, commercial teams, procurement organizations, and executives to validate requirements and business impact.
- Partner with product management and engineering teams to identify reusable capabilities and inform ongoing product development.
What you need
- Hold a bachelor's degree in engineering, operations research, supply chain management, industrial engineering, computer science, mathematics, economics, or a related quantitative discipline.
- Bring at least 7 years of experience in supply chain, manufacturing, operations, planning, logistics, procurement, pricing, operations research, or technically focused consulting.
- Possess hands-on experience in agricultural production or agricultural supply-chain operations with direct exposure to grower or harvest planning and raw-material optimization.
- Demonstrate a strong understanding of supply chain planning concepts such as service levels, safety stock, lead times, capacity constraints, and inventory policies.
- Show proven experience leading complex, customer-facing technical engagements and working directly with operational, technical, and executive stakeholders.
- Demonstrate strong analytical and quantitative problem-solving skills, including reasoning about tradeoffs, constraints, uncertainty, and optimization objectives.
Nice to have
- Experience delivering AI, machine learning, operations research, mathematical optimization, and advanced analytics
Skills and tech stack
Questions candidates ask
What is the salary range for this role?
The salary range for this position is $130,000 to $203,000 USD.
Where is the position located?
The role is located in Redwood City, California, United States.
What background is required for this position?
Candidates need a bachelor's degree in a quantitative discipline and at least 7 years of experience in supply chain, manufacturing, operations, planning, logistics, procurement, pricing, operations research, or technically focused consulting.