出海雷达

战略与转型资深顾问

Principal, Strategy & Transformation

其他限定地区(需当地身份)
公司Abnormal
薪资未公开
工作地点Remote - USA
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间15 天前
数据来源Greenhouse
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注意地域限制:该职位明确限定在 Remote - USA 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

职位描述

Abnormal AI 正在寻找一位首席战略与转型专家加入销售、营销和客户成功职能的市场进入(GTM)战略团队。该团队支持这些职能识别并执行战略性 GTC 计划。

这是一个以 AI 为核心、垂直整合的职位。在大多数公司,这项工作呈金字塔结构:分析师收集数据并构建模型,经理塑造叙述,而某个助理-合伙人级别的人员则打包方案并与高级利益相关者沟通。我们希望由一个人来打破这种结构。自己获取数据,构建模型并进行分析,让 AI 完成繁重的工作。然后将分析结果整理为精准的建议,并亲自管理高级利益相关者,具备合伙人级别的判断力。在这里,AI 不是一种生产力工具,而是使这一职位可以由一人承担而非三人协作的原因。

这项工作不仅仅停留在建议阶段。你不需要对其他团队的执行结果负责,但你被期望推动执行,尤其是跨职能的执行:确保执行团队了解上下文,保持时间线诚实,并在事情偏离轨道时向上级汇报。

你将负责的工作

  • 拆解复杂业务问题,制定假设,并通过 AI 工具(LLM、代码代理、SQL/Python 合作者)作为默认工作流程,而不是次要实验,推动分析得出建议
  • 独立构建和迭代分析、模型和仪表盘,这通常需要一个分析团队完成
  • 与跨职能的利益相关者合作:收集正确信息,验证你的假设,并共同创建交付成果
  • 提出能经得起高管审查的建议
  • 在建议落地后推动跨职能执行。确保执行团队有上下文,保持时间线诚实,并在出现偏差时及时上报
  • 根据问题需求佩戴不同帽子:本周是战略,下周是项目管理,之后是实际执行
  • 指导分析师和战略团队成员如何利用 AI 扩展他们的产出

必备条件

  • 高度自主性。你看到问题就会去解决。你不会等待完美的数据集或他人的许可才开始行动
  • 默认使用 AI,而不是例外情况。你已经将 AI 工具、Claude、ChatGPT、代码和分析代理作为主要工作方式,用于分析和建模
查看英文原文

About the Role

Abnormal AI is looking for a Principal, Strategy & Transformation to join the Go-to-Market (GTM) Strategy team. This team supports our sales, marketing, and customer success functions to identify and execute against strategic GTM initiatives.

This is an AI-native, vertically integrated role. At most companies, this work sits on a pyramid: an analyst pulls the data and builds the model, a manager shapes the narrative, and someone at the associate-partner level packages it and runs the room with senior stakeholders. We want one person to collapse that pyramid. Source the data yourself, build the model, and run the analysis, with AI doing the heavy lifting. Then package it into a sharp recommendation and manage the senior stakeholders yourself, with the judgment of someone who's done this at the partner level. AI isn't a productivity perk here. It's the reason this can be one seat instead of three.

The job doesn't stop at the recommendation. You're not accountable for another team's execution outcomes, but you are expected to drive execution, especially the cross-functional kind: make sure the teams doing the work have context, keep the timeline honest, and escalate up the chain when something stalls.

What You'll Do

  • Frame and break down complex business problems, develop hypotheses, and drive the analysis to a recommendation, using AI tools (LLMs, coding agents, SQL/Python copilots) as your default workflow, not a side experiment
  • Build and iterate on analyses, models, and dashboards on your own that would traditionally take a team of analysts
  • Work across a cross-functional set of stakeholders: gather the right information, pressure-test your hypotheses, and co-create deliverables
  • Present recommendations that hold up under executive scrutiny
  • Drive cross-functional execution after the recommendation lands. Make sure the teams doing the work have context, keep the timeline honest, and escalate when something's off track
  • Wear whatever hat the problem needs: strategy one week, project management the next, hands-on execution after that
  • Coach analysts and Strategy team members on using AI to extend their own output

Must Haves

  • High agency. You see a problem and go solve it. You don't wait for the perfect data set or someone's permission to start.
  • AI-fluent by default, not by exception. You already use AI tools, Claude, ChatGPT, coding and analysis agents, as your primary way of working through analysis and modeling. You can prompt and iterate well enough to produce what would normally take a small analyst team.
  • Vertically integrated. You do the analyst-level work yourself (data pulls, modeling, analysis) and the associate-partner-level work (packaging the recommendation, managing senior stakeholders), without handing either half to someone else.
  • Ownership that doesn't end at the recommendation. You'll chase cross-functional execution, keep teams honest on timing, and escalate before something quietly slips.
  • 3+ years post-MBA, with at least 2 in management consulting (McKinsey, Bain, BCG), private equity, or a top-tier tech strategy/bizops function or equivalent demonstrated output. AI leverage means the right candidate may not fit the traditional mold.
  • MBA from a top-tier B-school, or a "direct promote" track record in consulting.
  • Deep experience in enterprise tech; cybersecurity knowledge is a plus, not a requirement.
  • Comfortable building relationships and leading through influence without formal authority.
  • Experience managing projects and large-scale transformations.
  • Strong verbal and written communication with senior audiences, both business and technical.
  • A self-starter who does well with minimal supervision in a fast-moving environment.

Nice to Haves

  • Hands-on experience using AI coding tools (Claude Code, Cursor, ChatGPT's data analysis mode) to build lightweight tools or automations, not just prose or slides
  • Background in cybersecurity or another high-growth SaaS category

#LI-LM3
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.

Base salary range:
$172,100—$247,500 USD

A note on AI in our process: 
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

本页面信息整理自 Greenhouse,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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