Forward Deployed Team Lead – Career Development Office | MIT Sloan School of Management
Summary
本文是麻省理工学院斯隆管理学院（MIT Sloan School of Management）职业发展办公室发布的 C3.ai 公司“Forward Deployed Team Lead”（前线部署团队负责人）招聘启事。该职位是高级技术负责人，负责端到端地管理商业或企业客户的交付，需要将C3.ai平台从“设计”推进到“生产环境”落地。核心职责融合了技术架构设计、动手编码、产品所有权、项目管理和利益相关者沟通，要求候选人能够直接嵌入客户现场工作。具体职责包括：设计数据流、集成拓扑和部署架构；使用Python、TypeScript/JavaScript、Java、Go或C++编写生产级代码；管理部署路线图；推动系统通过测试进入生产环境；确保符合SOC 2、ISO 27001等企业安全合规标准；并将一线经验反馈回产品团队。任职资格要求计算机科学或相关领域学士/硕士，6年以上生产软件交付经验，其中至少2年技术负责人经验，并具备金融、医疗、能源等至少一个垂直行业的深厚专业知识，熟悉Snowflake、Databricks、Docker、Kubernetes、Terraform等现代技术栈和云环境（AWS、Azure、GCP）。此职位要求有在美国的工作授权，体现了AI企业在将复杂平台部署到大型客户时，对该类兼具技术深度、行业洞察和项目管理能力的复合型前端部署工程师的迫切需求。
Key Takeaways
- C3.ai 正在招聘 Forward Deployed Team Lead，该职位需端到端负责单一企业客户的部署交付，从技术架构设计一直推进到生产环境上线。
- 该角色是一种强复合型技术岗位，要求同时具备动手编码能力（Python、TypeScript、Java、Go、C++）、产品所有权思维及项目管理能力。
- 候选人必须在至少一个垂直行业（如金融服务、医疗保健、能源、制造业或国防）拥有深厚专业知识，以加速交付并建立客户信任。
- 岗位职责明确包括确保企业级就绪性，需满足 SOC 2、ISO 27001 及数据驻留等合规与安全要求。
- 6 年任职资格强调 以上生产软件交付经验及 2 年以上技术负责人经验，并需熟悉 Snowflake、Databricks、Docker、Kubernetes、Terraform 等现代企业数据与部署工具。
- 成功的候选人还需具备向产品团队反向输入一线经验的能力，并与销售团队合作识别帐户扩展机会，将成功部署转化为长期客户关系。
- 该信息由 MIT Sloan 管理学院职业发展办公室发布，表明顶级商学院正在为前沿 AI 企业的特定战略岗位提供人才对接渠道。
这份来自 MIT Sloan 的招聘启事，是解读当前 AI 落地行业人才需求的绝佳样本。它并非一个普通的工程师岗位，而是极为精确地定义了“Forward Deployed Team Lead”这一角色——C3.ai 需要的不只是会写代码的人，而是一个能在客户现场独当一面、融合了架构师、产品经理、项目经理和客户成功职能的复合型领导者。JD 中反复强调的端到端交付、垂直行业深度（金融、能源、医疗等）以及将一线经验反哺产品的闭环思维，精准揭示了 AI 从实验室到规模化生产过程中最难跨越的鸿沟。对于所有在 AI 应用层摸索商业化的创业者和技术管理者而言，这份文件本身就是一个产品落地的方法论标杆。我推荐读者逐条研读其职责要求，你会看到顶级 AI 企业如何在组织架构上解决“最后一公里”的交付难题。
C3.ai 正在招聘 Forward Deployed Team Lead，该职位需端到端负责单一企业客户的部署交付，从技术架构设计一直推进到生产环境上线。
Forward Deployed Team Lead – Career Development Office | MIT Sloan School of Management
Questions? Visit the CDO Welcome Desk or email us at askcdo@mit.edu. | CDO Welcome Desk Hours: Mon-Thurs, 9am-5pm; Fri, 9am-4pm | The Virtual Interview Room is available for bookings!
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Forward Deployed Team Lead
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Forward Deployed Team Leads are senior technical leads who own a commercial or enterprise customer end-to-end. You’ll combine strong technical architecture, hands-on coding, product ownership, project management, and stakeholder communication—embedding directly with customers to take our product from “design” to “in production.”
You’ll own one account at a time: scope the workflow with business and technical stakeholders, design the architecture, write the code that closes the gaps, and drive the deployment through to measurable business value.
Responsibilities:
- Technical architecture. Own data flow, integration topology, identity model, and deployment architecture across the customer’s infrastructure.
- Hands-on coding. Write production code yourself—backend services, data pipelines, APIs, integrations.
- Product ownership. Own the deployment’s roadmap. Execute on the statement of work. Decide what’s in scope, what’s a one-off, and what should become product.
- Project management. Own the plan, milestones, risks, and dependencies. When something slips, know first and flag first.
- Stakeholder communication. Run customer working sessions, brief executive sponsors, and write clean status updates that senior stakeholders will actually read.
- Ship into production. Deploy from dev through UAT into production—including integration with customer data warehouses, ERP/CRM systems, and cloud environments (AWS, Azure, GCP).
- Enterprise readiness. Ensure the platform is configured, secured, and monitored to meet enterprise security and compliance requirements (SOC 2, ISO 27001, data residency, etc.).
- Bridge field back to product. Push field learnings into the core platform so the next deployment is faster.
- Account growth and development. Partner with Sales to identify expansion opportunities within the account—surfacing new use cases, supporting renewal conversations, and ensuring successful deployments convert to long-term customer relationships.
Qualifications:
- BS/MS in Computer Science, Software Engineering, Engineering, or equivalent practical experience.
- 6+ years shipping production software, with 2+ years as a tech lead or senior individual contributor owning delivery end-to-end.
- Strong proficiency in Python, TypeScript/JavaScript, Java, Go, or C++.
- Demonstrated ownership of systems taken from zero to production in a commercial or enterprise context.
- Bring deep expertise in at least one vertical (financial services, healthcare, energy, manufacturing, or defense) to accelerate time-to-value and credibility with customer stakeholders.
- Experience working directly with business and technical stakeholders at mid-market or enterprise accounts—comfortable in both exec-level conversations and deep technical design sessions.
- Familiarity with enterprise data environments: cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift), REST/GraphQL APIs, and common ERP or CRM platforms.
- Comfort with modern deployment practices: CI/CD, containerization (Docker/Kubernetes), cloud-native services, and infrastructure-as-code (Terraform or equivalent).
Preferred Qualifications:
- Prior experience as a tech lead or staff engineer at a SaaS or enterprise software vendor with a forward-deployed or professional services motion.
- Experience with AI/ML platform deployments or data-heavy enterprise applications at scale.
- Familiarity with major cloud environments: AWS, Azure, or GCP, including managed ML/AI services.
- Experience in regulated industries (healthcare/life sciences, manufacturing, energy) where compliance and change management are part of the delivery.
- Proven ability to turn a messy, ambiguous customer problem into a clean, repeatable deployment pattern.
Candidates must be authorized to work in the United States without the need for current or future company sponsorship.
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