应用人工智能工程经理(数字原生企业)
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Manager, Applied AI Engineering (Digital Natives)OpenAI · San Francisco · $302k – $335k
职位信息来自雇主公开的招聘页面。申请前请务必在雇主官网核实详情。
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发现指数 71/100,仅依据与该职位一起存储的证据计算。
- 新的雇主官方职位
- 已披露薪资
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分数构成
- 时效性 (随职位发布时间变化)+18
- 雇主官方来源+15
- 已披露薪资+15
- 远程职位+8
- 提及搬迁+6
- 稀有职位+1
- 公司来源健康度+8
该职位未包含:提及签证担保、未出现在监控的职位板上。
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职位描述
机器翻译关于团队 应用 AI 工程团队与客户紧密合作,帮助他们将前沿 AI 能力转化为真实的产品、工作流程和业务影响。我们在战略、解决方案设计、架构、实施、评估和采用方面充当值得信赖的技术合作伙伴,与客户携手使用 OpenAI 的技术构建并扩展高效的 AI 应用。 数字原生客户群服务于那些将 AI 构建为其产品和业务核心的科技与软件公司。这些客户通常技术实力雄厚、行动迅速,并且是 OpenAI 最新能力的最早采用者之一。我们的应用 AI 工程师直接与他们的工程、产品和技术领导团队合作,识别高影响力机会、解决复杂技术挑战,并将雄心勃勃的 AI 应用投入生产环境。 关于该职位 我们正在寻找一位应用 AI 工程经理(数字原生客户群),负责领导团队,为我们在美洲最具战略意义的科技与软件客户提供技术成功保障。 在这一职位上,你将领导一支应用 AI 工程师团队,他们与客户亲身协作,设计、构建、评估并扩展 AI 应用。你将帮助确定深度技术合作能在哪些方面释放最大的客户和业务影响,同时开发可复用的方法,使团队能够支持一个广泛且快速变化的客户群体。 作为经理,你将制定团队的战略和运营模式,指导并培养工程师,并作为客户和内部利益相关方的高级技术合作伙伴。你将与销售、产品、工程和研究团队紧密合作,将我们从客户那里获得的洞察与 OpenAI 的产品方向相连接,并帮助客户充分利用我们的最新能力。 这一职位的成功将以有意义的生产应用、持续的采用和使用、强劲的客户成果,以及可应用于更广泛数字原生客户群的技术模式与洞察来衡量。 该职位在我们的旧金山办公室开放。我们采用每周 3 天到办公室的混合办公模式,并为新员工提供搬迁协助。 在该职位上,你将 • 负责数字原生客户群应用 AI 工程团队的战略和运营模式,确保与 OpenAI 的目标以及科技与软件客户不断变化的需求保持一致。
• 领导、招聘、指导和培养一支高绩效的应用 AI 工程师团队,负责交付有意义的技术和客户成果。
• 指导团队与客户亲身协作,识别高影响力用例、设计和构建 AI 应用、解决技术挑战,并将成功的解决方案扩展到生产环境。
• 与销售紧密合作,确定战略客户技术合作的优先级,并识别应用 AI 工程能在哪些方面释放采用、使用和长期客户增长。
• 作为优先客户的高级技术合作伙伴和升级处理点,与工程负责人、CTO 及其他高管利益相关方建立可信赖的关系。
• 通过汇总有关模型性能、开发者体验、
岗位职责
我们正在寻找一位应用 AI 工程经理(数字原生客户群),负责领导团队,为我们在美洲最具战略意义的科技与软件客户提供技术成功保障。 在这一职位上,你将领导一支应用 AI 工程师团队,他们与客户亲身协作,设计、构建、评估并扩展 AI 应用。你将帮助确定深度技术合作能在哪些方面释放最大的客户和业务影响,同时开发可复用的方法,使团队能够支持一个广泛且快速变化的客户群体。 作为经理,你将制定团队的战略和运营模式,指导并培养工程师,并作为客户和内部利益相关方的高级技术合作伙伴。你将与销售、产品、工程和研究团队紧密合作,将我们从客户那里获得的洞察与 OpenAI 的产品方向相连接,并帮助客户充分利用我们的最新能力。 这一职位的成功将以有意义的生产应用、持续的采用和使用、强劲的客户成果,以及可应用于更广泛数字原生客户群的技术模式与洞察来衡量。 该职位在我们的旧金山办公室开放。我们采用每周 3 天到办公室的混合办公模式,并为新员工提供搬迁协助。 在该职位上,你将 • 负责数字原生客户群应用 AI 工程团队的战略和运营模式,确保与 OpenAI 的目标以及科技与软件客户不断变化的需求保持一致。
• 领导、招聘、指导和培养一支高绩效的应用 AI 工程师团队,负责交付有意义的技术和客户成果。
• 指导团队与客户亲身协作,识别高影响力用例、设计和构建 AI 应用、解决技术挑战,并将成功的解决方案扩展到生产环境。
• 与销售紧密合作,确定战略客户技术合作的优先级,并识别应用 AI 工程能在哪些方面释放采用、使用和长期客户增长。
• 作为优先客户的高级技术合作伙伴和升级处理点,与工程负责人、CTO 及其他高管利益相关方建立可信赖的关系。
• 通过汇总有关模型性能、开发者体验、产品缺口、新兴用例和技术障碍的洞察,为产品、工程和研究团队传达数字原生客户的技术声音。
• 将反复出现的客户需求和成功实施转化为可复用的技术模式、参考架构、操作手册、工具和最佳实践,使团队能够扩大其影响力。
• 在技术质量、客户判断、优先级排序、高管沟通和跨职能合作方面指导应用 AI 工程师。
• 帮助客户理解并应用 OpenAI 的最新能力,识别利用前沿模型构建差异化产品和体验的机会。
• 倡导在数字原生客户生态系统中安全、可靠且有效地应用 OpenAI 的技术。
如果你具备以下条件,你将在这个职位上如鱼得水 • 拥有 8 年以上深度技术、面向客户角色的经验,例如应用工程、解决方案架构、部署工程、技术咨询或类似职位。
• 拥有 2 年以上领导技术团队的经验,并展现出招聘、培养、指导和管理高绩效工程师的能力。
• 拥有在生产环境中构建或部署生成式 AI、机器学习、开发者平台或基于云的软件解决方案的经验。
• 在 API、AI/ML 系统、应用架构、云基础设施和现代开发者工作流程方面具备深厚的技术功底。
• 拥有亲身实践的软件工程经验,并熟练掌握 Python 或 JavaScript 等编程语言。
• 能够自如地直接与高度技术化的工程和产品团队以及 CTO 和其他高管利益相关方合作。
• 能够将模糊的客户和业务问题转化为清晰的技术方案,并引导团队从探索走向实施和生产。
• 在何时深入投入解决单个客户挑战、何时为更广泛客户群开发可复用解决方案方面展现出卓越的判断力。
• 是一位高效的沟通者,能够面向不同受众解读复杂的技术和业务话题,并指导他人做到这一点。
• 能在模糊、快速变化的环境中茁壮成长,并因与处于 AI 采用前沿的客户合作而充满活力。
• 展现出强烈的担当、谦逊、好奇心,以及帮助客户和团队成员共同成功的承诺。
• 个人致力于促进 AI 的安全和有益发展。
关于 OpenAI OpenAI 是一家 AI 研究和部署公司,致力于确保通用人工智能造福全人类。我们不断拓展 AI 系统能力的边界,并寻求通过我们的产品将其安全地部署到世界各地。AI 是一种极其强大的工具,其创建必须以安全和人类需求为核心;为实现我们的使命,我们必须包容并重视构成人类完整谱系的众多不同视角、声音和经历。 我们是提供平等机会的雇主,我们不会基于种族、宗教、肤色、国籍、性别、性取向、年龄、退伍军人身份、残疾、遗传信息或其他适用的受法律保护特征进行歧视。 如需更多信息,请参阅 OpenAI 的《平权行动与平等就业机会政策声明》。 对申请人的背景调查将依据适用法律进行,对于美国境内的候选人,有逮捕或定罪记录的合格申请人将依据这些法律获得就业考虑,包括《旧金山公平机会条例》、《洛杉矶县雇主公平机会条例》和《加州公平机会法》。对于洛杉矶县非建制地区的员工:我们合理认为,犯罪史可能与以下工作职责存在直接、不利和负面的关系,可能导致有条件录用通知被撤回:保护委托给你的计算机硬件免遭盗窃、丢失或损坏;在雇佣终止或任务结束时归还你持有的所有计算机硬件(包括其中包含的数据);以及维护专有、机密和非公开信息的保密性。此外,工作职责要求访问安全且受保护的信息技术系统以及相关的数据安全义务。 如需通知 OpenAI 你认为该职位发布不合规,请通过此表单提交报告。与职位发布合规无关的询问将不会得到回复。 我们致力于为残障申请人提供合理的便利,可通过此链接提出请求。 OpenAI 全球申请人隐私政策 在 OpenAI,我们相信人工智能有潜力帮助人们解决巨大的全球挑战,我们希望 AI 带来的益处能够被广泛共享。加入我们,共同塑造技术的未来。
以上内容由机器翻译自动生成,可能存在错误;投递前请以雇主原文为准。
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职位描述
About the Team The Applied AI Engineering team partners closely with customers to help them turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across strategy, solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Digital Natives segment serves technology and software companies that are building AI into the core of their products and businesses. These customers are often highly technical, move quickly, and are among the earliest adopters of OpenAI’s newest capabilities. Our Applied AI Engineers work directly with their engineering, product, and technical leadership teams to identify high-impact opportunities, solve complex technical challenges, and bring ambitious AI applications into production. About the Role We are seeking a Manager, Applied AI Engineering (Digital Natives) to lead the team responsible for the technical success of our most strategic technology and software customers in the Americas. In this role, you will lead a team of Applied AI Engineers who work hands-on with customers to design, build, evaluate, and scale AI applications. You will help determine where deep technical partnership can unlock the greatest customer and business impact, while developing repeatable approaches that allow the team to support a broad and fast-moving customer segment. As a manager, you will set the strategy and operating model for the team, coach and develop engineers, and serve as a senior technical partner to customers and internal stakeholders. You will work closely with Sales, Product, Engineering, and Research to connect what we learn from customers with OpenAI’s product direction and help customers take advantage of our newest capabilities. Success in this role will be measured by meaningful production applications, sustained adoption and usage, strong customer outcomes, and technical patterns and insights that can be applied across the broader Digital Natives segment. This role is open in our San Francisco office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In This Role, You Will • Own the strategy and operating model for the Digital Natives Applied AI Engineering team, ensuring alignment with OpenAI’s objectives and the evolving needs of technology and software customers.
• Lead, hire, mentor, and develop a team of high-performing Applied AI Engineers responsible for delivering meaningful technical and customer outcomes.
• Guide the team in working hands-on with customers to identify high-impact use cases, design and build AI applications, solve technical challenges, and scale successful solutions into production.
• Partner closely with Sales to prioritize technical engagement across strategic customers and identify where Applied AI Engineering can unlock adoption, usage, and long-term customer growth.
• Serve as a senior technical partner and escalation point for priority customers, building trusted relationships with engineering leaders, CTOs, and other executive stakeholders.
• Represent the technical voice of Digital Native customers by synthesizing insights around model performance, developer experience,
岗位职责
We are seeking a Manager, Applied AI Engineering (Digital Natives) to lead the team responsible for the technical success of our most strategic technology and software customers in the Americas. In this role, you will lead a team of Applied AI Engineers who work hands-on with customers to design, build, evaluate, and scale AI applications. You will help determine where deep technical partnership can unlock the greatest customer and business impact, while developing repeatable approaches that allow the team to support a broad and fast-moving customer segment. As a manager, you will set the strategy and operating model for the team, coach and develop engineers, and serve as a senior technical partner to customers and internal stakeholders. You will work closely with Sales, Product, Engineering, and Research to connect what we learn from customers with OpenAI’s product direction and help customers take advantage of our newest capabilities. Success in this role will be measured by meaningful production applications, sustained adoption and usage, strong customer outcomes, and technical patterns and insights that can be applied across the broader Digital Natives segment. This role is open in our San Francisco office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In This Role, You Will • Own the strategy and operating model for the Digital Natives Applied AI Engineering team, ensuring alignment with OpenAI’s objectives and the evolving needs of technology and software customers.
• Lead, hire, mentor, and develop a team of high-performing Applied AI Engineers responsible for delivering meaningful technical and customer outcomes.
• Guide the team in working hands-on with customers to identify high-impact use cases, design and build AI applications, solve technical challenges, and scale successful solutions into production.
• Partner closely with Sales to prioritize technical engagement across strategic customers and identify where Applied AI Engineering can unlock adoption, usage, and long-term customer growth.
• Serve as a senior technical partner and escalation point for priority customers, building trusted relationships with engineering leaders, CTOs, and other executive stakeholders.
• Represent the technical voice of Digital Native customers by synthesizing insights around model performance, developer experience, product gaps, emerging use cases, and technical blockers for Product, Engineering, and Research.
• Translate recurring customer needs and successful implementations into repeatable technical patterns, reference architectures, playbooks, tooling, and best practices that allow the team to scale its impact.
• Coach Applied AI Engineers on technical quality, customer judgment, prioritization, executive communication, and cross-functional partnership.
• Help customers understand and apply OpenAI’s newest capabilities, identifying opportunities to build differentiated products and experiences with frontier models.
• Champion the safe, reliable, and effective application of OpenAI’s technology across the Digital Natives ecosystem.
You’ll Thrive in This Role If You • Have 8+ years of experience in deeply technical, customer-facing roles such as applied engineering, solutions architecture, deployment engineering, technical consulting, or similar roles.
• Have 2+ years of experience leading technical teams, with a demonstrated ability to hire, develop, mentor, and manage high-performing engineers.
• Have experience building or deploying generative AI, machine learning, developer platforms, or cloud-based software solutions in production environments.
• Bring strong technical depth across APIs, AI/ML systems, application architecture, cloud infrastructure, and modern developer workflows.
• Have hands-on software engineering experience and fluency with programming languages such as Python or JavaScript.
• Are comfortable working directly with highly technical engineering and product teams as well as CTOs and other executive stakeholders.
• Can translate ambiguous customer and business problems into clear technical approaches and guide teams from exploration through implementation and production.
• Demonstrate strong judgment about when to invest deeply in an individual customer challenge versus when to develop a repeatable solution for the broader segment.
• Are an effective communicator who can translate complex technical and business topics across audiences and coach others to do the same.
• Thrive in ambiguous, fast-moving environments and are energized by working with customers at the forefront of AI adoption.
• Demonstrate strong ownership, humility, curiosity, and a commitment to helping both customers and teammates succeed.
• Are personally committed to fostering the safe and beneficial development of AI.
About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.