Large Language Model and Agent Industry Sales
Beijing-based enterprise AI company building foundation-model, agentic-AI, and AI-transformation products, including the TrueNorth enterprise decision hub.
Funding history
Investors
About 01.AI
01.AI develops full-stack enterprise AI solutions, industry-agent applications, and sovereign/industry model-training capabilities.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will open and manage government and enterprise customers in assigned regions or industries. You will identify high-value needs for large-model training and inference, Agent applications, and knowledge-base development, while owning annual contract-signing and payment-collection goals. You will run consultative executive conversations, prepare proposals and presentations, lead bids and commercial negotiations, and build demonstrable AI solutions and proofs of concept. You will own the full opportunity-to-delivery lifecycle, coordinate internal stakeholders, manage customer expectations, and document repeatable industry playbooks. You will travel frequently to customer sites.
Requirements
- Bachelor's degree or above
- 8 or more years of government or enterprise key-account sales experience
- At least two verifiable benchmark customer cases
- Government, finance, energy, manufacturing, or similar industry customer resources
- Knowledge of government and enterprise budgeting, procurement, bidding, and decision processes
- LLM
- prompt engineering
- RAG
- Agent
- model fine-tuning
- model deployment
- Consultative sales
- PPT proposal development
- Experience presenting to director-level, bureau-level, VP-level, or above audiences
- Ability to build demonstrable conversational applications or report generators using large-model tools or low-code platforms
- Ability to accept travel exceeding 60% of each month
Responsibilities
- Develop and manage government and enterprise customers in assigned regions or industries
- Identify needs for large-model training and inference, Agent applications, and knowledge-base development
- Achieve annual contract-signing and payment-collection targets
- Map customer decision-making ecosystems and build stakeholder relationships
- Lead consultative conversations with C-level customers
- Prepare cooperation proposals and presentation materials
- Lead bids and commercial negotiations
- Build and demonstrate Agent, RAG, and proof-of-concept solutions using large models and customer data
- Own the opportunity-to-delivery lifecycle, including proof of concept, bidding, contracting, delivery, and acceptance
- Coordinate solution, product, engineering, and delivery stakeholders and manage customer expectations
- Document benchmark cases and reusable industry playbooks
- Travel to customer sites frequently