Shen Yue / 申越

Overview

Shen Yue / 申越 is the AI trainer and enterprise consultant interviewed in 一个中国 FDE 的光环、落差与「救火」日常｜S10E27 about the everyday work behind Chinese FDE projects.

Current Profile

The source presents 申越 as a practitioner who moved from roughly twelve years of internet product-management work into AI training, consulting, and implementation projects. His account matters less as a formal company biography than as a field report on Chinese-Style FDE / 中国式 FDE: he describes FDE work as business access, customer coordination, MVP rescue, document cleanup, expectation management, and acceptance negotiation under vendor-side constraints.

Key Characteristics

• He is source-scoped as an AI trainer and enterprise consultant with prior internet product-management experience.
• He uses the FDE label cautiously, saying he mostly used to describe the work as AI projects before the role became fashionable.
• His state-owned enterprise case emphasizes authority and business access: without a customer-side owner who can mobilize departments, AI demos cannot prove value.
• His private-enterprise case emphasizes ROI pressure, measurable usage, token cost, labor-saving expectations, and the risk of projecting business anxiety onto AI.
• His capability model places communication, industry experience, and AI cognition before technical implementation methods.
• His implementation examples make data governance, RAG document cleanup, internal rules, and accuracy expectations part of FDE work rather than peripheral support tasks.

Evidence

• Role and background: 一个中国 FDE 的光环、落差与「救火」日常｜S10E27 describes 申越 as an AI training lecturer and enterprise consulting practitioner who previously spent about twelve years as an internet product manager.
• FDE-label caution: 一个中国 FDE 的光环、落差与「救火」日常｜S10E27 says he only recently used the FDE label because the term became hot, while his past work was simply AI project delivery.
• State-owned project pattern: 一个中国 FDE 的光环、落差与「救火」日常｜S10E27 says the project turned only after a new responsible person could coordinate eight or nine business departments and open access to real materials and workflows.
• Private-enterprise pattern: 一个中国 FDE 的光环、落差与「救火」日常｜S10E27 records board-chair expectations around revenue, cost, and headcount, plus field observation that low customer traffic cannot be solved by AI alone.
• Implementation detail: 一个中国 FDE 的光环、落差与「救火」日常｜S10E27 describes spending a week cleaning more than one hundred documents and needing legal teams to provide internal contract-review rules before an agent can be judged.

Qualifications

The page is based on one podcast episode and should be treated as a practitioner account, not a complete career profile. The episode intentionally uses 申越’s cases to illuminate FDE work rather than to document every employer, client, metric, or final project outcome.

What Changed

• Initial entity created from the What’s Next S10E27 field account.

Relationships

• Forward Deployed Engineer - role label he uses to describe current AI deployment work.
• Chinese-Style FDE / 中国式 FDE - China-specific practice pattern his cases sharpen.
• Business-Led AI Transformation - broader enterprise transformation frame his cases support.
• Enterprise AI ROI Audit - private-enterprise measurement pressure in his account.
• AI Data Readiness - data and document preparation work visible in his examples.
• Retrieval-Augmented Generation - knowledge-base and document-readability issue in his RAG examples.