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BD / Enterprise Sales

Open and grow relationships with top model teams and AI labs; turn fuzzy training and data-procurement needs into deliverable, repeatable products.You understand what model teams need when buying post-training data, and can carry procurement through to close inside large companies and model teams. Your output is customer relationships, clear judgement of needs, a pipeline and closed orders. For people who keep opening key accounts, we offer performance-linked cash incentives and early-employee equity.

What you’ll do

  1. 01Open and grow relationships with top domestic and overseas model teams, big-tech AI labs, algorithm / data platforms, and core business lines — building long-term, trusted strategic accounts.
  2. 02Deeply understand customer needs in post-training data, model eval, benchmarks, and creative expert data (Role Packs) — identifying budget sources, decision chains, procurement priorities, and high-value opportunities.
  3. 03Drive the full commercial loop — from needs definition, joint solution design, sample validation, and test feedback to negotiation, procurement close, and high-quality order conversion.
  4. 04Work with algorithm, engineering, product, and expert teams to turn complex needs into deliverable, acceptable, repurchasable data products, task systems, and project plans.
  5. 05Shape key-account strategy, pricing, and commercial plans — balancing project value, delivery scope, margin, and long-term repurchase — and continuously accumulate market insight and customer assets.

What we look for

  1. 01Bachelor’s or above, any major: CS, AI, business, economics, management, design, etc.
  2. 022+ years in B2B sales, BD, key-account sales, solution sales, enterprise services, AI-data services, cloud services, consulting, or tech-product commercialization.
  3. 03Experience with big tech, AI companies, model teams, procurement teams, or technical customers — understanding complex internal decision chains and driving projects.
  4. 04Strong pricing judgment and negotiation — cost awareness and delivery-scope sense; understands expert, production, QC, and delivery-risk costs in non-standard data projects; doesn’t make low-value promises.
  5. 05Basic understanding of LLMs, agents, post-training, eval, benchmarks, and training data — and willing to learn tech and industry fast.

Nice to have

  • Sales experience in AI data, model eval, data services, cloud, developer tools, or tech services.
  • Customer resources at top big-tech or model companies.
  • Familiar with big-tech procurement — vendor onboarding, budget, framework agreements, tenders, legal / infosec review, and acceptance / payment.
  • Experience opening new customers, markets, or product commercialization from 0 to 1.
  • Pricing / negotiation experience in non-standard, consultative, data, or large enterprise-service projects — adjusting price, scope, and terms as needs change.
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