监管会计与披露高级经理
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Senior Manager, Regulatory Accounting & DisclosuresAnthropic · San Francisco, CA
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职位描述
机器翻译关于 Anthropic
Anthropic 的使命是创建可靠、可解释且可控的 AI 系统。我们希望 AI 对用户和整个社会都是安全且有益的。我们的团队由一批敬业的研究人员、工程师、政策专家和商业领袖组成,正在快速壮大,共同致力于构建有益的 AI 系统。
岗位职责
Anthropic 的非财务报告团队负责 Anthropic 的强制性披露。在这个职位上,你将负责跨职能机制,以理解我们的算力建设所带来的报告影响。你将建立数据管理流程,推动关键披露战略决策,并制定一套可重复的方法来回应客户询问。你将帮助定义前沿 AI 的影响如何被衡量、披露和验证。
• 制定并负责内部机制,以跟踪和解决有关租赁、资本支出以及公司业务版图其他变化的未决问题,从而使财务报告和非财务报告保持一致。
• 准备强制性披露申报文件(EU CSRD、AU ASRS 等)及后续制度,并制定风险评估方法,以符合这些框架的要求。
• 负责包括碳、能源、水和其他相关指标在内的非财务指标的企业报告。
• 确保我们的非财务报告达到可鉴证标准:按照与财务报告相同的标准设计控制、文档和技术系统,并管理外部鉴证流程。
• 与法务、传播和政策团队合作,协助制定我们的披露战略和治理:评估报告环境,并确定我们的自愿披露立场(CDP、EcoVadis、面向客户的声明)。
• 制定可扩展的流程来回应客户请求——维护答案库,满足与销售团队约定的 SLA,并负责客户层面报告的方法论。
任职要求
• 对强制性报告标准有深入的实际操作知识,并有经验制定数据管理计划、记录方法论选择,并向审计师或鉴证提供方进行辩护。
• 云或数据中心影响核算(电力和能源数据、供应商特定数据)。
• 熟练维护非财务核算平台并管理多方利益相关者的数据收集。
• 熟悉财务会计准则,并能够与财务会计团队合作。
• 10 年以上报告经验:曾端到端负责监管报告交付物——强制性企业披露、自愿框架或面向客户的报告(例如 CDP、EcoVadis、采购清单或类似内容)。
• CPA,以及可持续发展报告资质(FSA Credential、GRI Professional 或类似资质)。
• 会计、金融、环境科学、工程、可持续发展或相关定量领域的硕士学位——或同等实践经验。
• 鉴证经验。
• ISO 14001 经验;公共部门采购相关经历。
• 有从零开始建立可重复报告流程并协调销售、法务、传播和财务的经验;较强的书面沟通能力。
该职位的年度薪酬范围如下。
对于销售职位,所提供的范围是该职位的目标收入("OTE")范围,这意味着该范围既包括销售佣金/销售奖金目标,也包括该职位的年度基本工资。
年薪: $230,000 — $300,000 USD
后勤信息
最低学历:学士学位,或教育、培训和/或经验方面的同等组合
要求的学习领域:通过课程、培训或专业经验证明与职位相关的领域
最低经验年限:所需经验年限将与该职位对应的内部职级要求相关
基于地点的混合办公政策:目前,我们期望所有员工至少有 25% 的时间在我们的办公室办公。不过,某些职位可能需要在办公室投入更多时间。
签证担保:我们确实提供签证担保!但是,我们无法为每个职位和每位候选人成功提供签证担保。不过,如果我们向你发出录用通知,我们将尽一切合理努力为你获得签证,并且我们聘请了一名移民律师来协助此事。
即使你认为自己并非满足每一项资格要求,我们也鼓励你申请。并非所有优秀候选人都会满足所列出的每一项资格要求。研究表明,来自代表性不足群体的人更容易经历冒名顶替综合征,并怀疑自己候选资格的强度,因此我们敦促你不要过早排除自己;如果你对这项工作感兴趣,请提交申请。我们认为,像我们正在构建的这类 AI 系统具有巨大的社会和伦理影响。我们认为这使代表性更加重要,并努力在我们的团队中纳入一系列多元视角。
你的安全对我们很重要。为了保护自己免受潜在诈骗,请记住 Anthropic 招聘人员只会通过 @anthropic.com 电子邮件地址联系你。在某些情况下,我们可能会与经过审核的招聘机构合作,这些机构会表明自己代表 Anthropic 工作。请警惕来自其他域名的电子邮件。合法的 Anthropic 招聘人员绝不会在你入职第一天之前索要金钱、费用或银行信息。如果你对任何沟通有任何不确定,请不要点击任何链接——直接访问 anthropic.com/careers 查看已确认的职位空缺。
我们的不同之处
我们相信,最高影响力的 AI 研究将是大科学。在 Anthropic,我们作为一个紧密协作的团队,仅围绕少数大规模研究工作共同努力。我们重视影响力——推进我们可控、可信 AI 的长期目标——而不是从事更小、更具体的谜题。我们将 AI 研究视为一门经验科学,它与物理学和生物学的共同之处,不亚于与传统计算机科学工作的共同之处。我们是一个非常协作的团队,并经常举办研究讨论,以确保我们在任何给定时间都追求最高影响力的工作。因此,我们非常重视沟通能力。
了解我们研究方向的最简单方式是阅读我们最近的研究。这项研究延续了我们团队在 Anthropic 之前从事的许多方向,包括:GPT-3、Circuit-Based Interpretability、Multimodal Neurons、Scaling Laws、AI & Compute、Concrete Problems in AI Safety 和 Learning from Human Preferences。
来和我们一起工作吧!
Anthropic 是一家总部位于 San Francisco 的公益公司。我们提供有竞争力的薪酬和福利、可选的股权捐赠匹配、慷慨的假期和育儿假、灵活的工作时间,以及一个可爱的办公空间,便于与同事协作。关于候选人使用 AI 的指导:了解我们在申请流程中使用 AI 的政策。
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 Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
岗位职责
Anthropic's Non-Financial Reporting team owns Anthropic's mandatory mandatory disclosures. In this role, you will own cross functional mechanisms to understand the reporting implications of our compute build out. You will build out data management processes, drive key disclosure strategy decisions, and develop a repeatable approach for responding to customer queries. You will help define how the impact of frontier AI gets measured, disclosed, and verified.
• Develop and own the internal mechanisms to track and resolve open questions on leases, capex, and other changes to our company footprint, so that financial reporting and non-financial reporting stay aligned.
• Prepare the mandatory disclosure filings (EU CSRD, AU ASRS, etc.) and successor regimes, and develop risk assessment methodologies to enable compliance with these frameworks.
• Own corporate reporting on non-financial metrics including carbon, energy, water and other relevant metrics.
• Ensure our non-financial reporting is assurance-ready: design the controls, documentation, and tech systems to the same standard as our financial reporting, and manage external assurance processes.
• Assist in developing our disclosure strategy and governance in partnership with legal, communications and policy teams: assess the reporting landscape, and set our voluntary disclosure posture (CDP, EcoVadis, customer-facing statements).
• Develop a scalable process for responding to customer requests — maintain the answer library, meet SLAs agreed with Sales, and own the methodology for customer-level reporting.
任职要求
• Deep working knowledge of mandatory reporting standards and experience building a data management plan, documenting methodology choices, and defending them to auditors or assurance providers.
• Cloud or data-center impact accounting (electricity and energy data, supplier-specific data).
• Proficiency in maintaining non-financial accounting platforms and managing multi-stakeholder data collection.
• Familiarity with financial accounting standards accounting and the ability to partner with financial accounting teams.
• 10+ years in reporting experience: has owned regulatory reporting deliverables end to end — mandatory corporate disclosures, voluntary frameworks, or customer-facing reporting (e.g. CDP, EcoVadis, procurement checklists, or similar).
• CPA, and sustainability reporting credential (FSA Credential, GRI Professional, or similar).
• Masters degree in accounting, finance, environmental science, engineering, sustainability, or a related quantitative field — or equivalent practical experience.
• Assurance experience.
• ISO 14001 experience; public-sector procurement exposure.
• Experience building a repeatable reporting process from scratch and coordinating across Sales, Legal, Comms and Finance; strong written communication.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary: $230,000 — $300,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.