出海雷达

AI成果经理- ANZ

AI Outcomes Manager - ANZ

AI开发工程市场运营职能支持限定地区(需当地身份)
公司ThoughtSpot
薪资未公开
工作地点Australia
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间6 天前
数据来源Himalayas
前往 Himalayas 查看并投递 →
注意地域限制:该职位明确限定在 Australia 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。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

智能思维是一个数据与人工智能平台,帮助企业将数据转化为企业优势。我们是全球超过1000名客户和在山景,芝加哥,伦敦,孟加拉,悉尼和东京设有办事处的 Gartner MQ 领导者。角色:AI 结果管理员是 ThoughtSpot 在客户帐户内部的战略存在。你拥有整个客户生命周期中的关系,结果计划,更新和扩张。你是客户的主要 AI 分析顾问和他们最一致的联系点。这是一个命名账户角色。你与 AE 对手密切合作,在商业战略上并从客户组织的各个层面开展工作,从数据团队到执行组。你将做什么:·拥有业务成果计划。创建一个联合结果计划,将 ThoughtSpot 使用联系到客户业务 KPIs.按功能进行高价值使用案例。追踪和测量结果成效,而不仅仅是采用活动。·引入和时间至第一价值。自销售到发布时掌握转让:协调利益相关者,确认成功标准,并在前30天内建立初始结果计划。让客户快速获得实质价值,培训和实际价值,因此关系在第一个 QBR 之前就会开始建立稳固的基础。· 领导账户关系。建立和维护强大的利益相关者关系,多线程冠军网络以及使 ThoughtSpot 不可或缺的战略背景。与你的 AE 一起为商业路线图做出贡献。· 推动采用深度和广度。推动 Spooter,Liveboards,Agents, Workflows 和数据应用程序的有意义的消费。使用消费健康作为主要指标。诊断差距,早期干预,并知道何时将其他 ThughtSpot 资源拉入。· 运行结果评论和 QBRs. 引领对话,而不仅仅是幻灯片。带来与达成的 KPI 相关的明确价值叙述,并使用每一个 QBR 支持客户的人工智能路线图并确保下一步。· 自有更新和扩张.GRR 和 NRR 是你的措施。续订永远不应该是惊喜。扩展应主动,充分证明,并且与客户已经相信的用例有关。·假设解决方案以证明可能的事情。快速构建现场板,原型 Spotter 代理人或绘制数据应用概念以确保利益相关者在正式建设开始之前购买。你不需要内部工程来展示价值。·成为客户的声音。

查看英文原文

ThoughtSpot is a Data & AI platform that helps companies turn data into enterprise advantage. We're Gartner MQ leaders with more than 1,000 customers globally and offices in Mountain View, Chicago, London, Bangalore, Sydney, and Tokyo.

The Role:

The AI Outcomes Manager is ThoughtSpot's strategic presence inside a customer account. You own the relationship, the outcomes plan, the renewal, and the expansion across the entire customer lifecycle. You are the customer's primary AI analytics advisor and their most consistent point of contact with ThoughtSpot.

This is a named-account role. You work closely with your AE counterpart on commercial strategy and operate at every level of the customer organization, from data teams to the executive suite.

What You'll Do:

  • Own the business outcomes plan. Create a Joint Outcomes Plan that ties ThoughtSpot usage to the customer's business KPIs. Surface high-value use cases by function. Track and measure outcome attainment, not just adoption activity.
  • Lead onboarding and time-to-first-value. Own the handoff from sale to launch: align stakeholders, confirm success criteria, and stand up the initial outcomes plan in the first 30 days. Get customers live, trained, and seeing real value fast, so the relationship starts on solid footing well before the first QBR.
  • Lead the account relationship. Build and maintain strong stakeholder relationships, multi-threaded champion networks, and the strategic context that makes ThoughtSpot indispensable. Contribute to the commercial roadmap alongside your AE.
  • Drive adoption depth and breadth. Push meaningful consumption of Spotter, Liveboards, Agents, Workflows, and Data Apps. Use consumption health as a leading indicator. Diagnose gaps, intervene early, and know when to pull in other ThoughtSpot resources.
  • Run outcomes reviews and QBRs. Lead the conversation, not just the slides. Bring a clear value narrative tied to agreed KPIs, and use every QBR to support the customer's AI roadmap and secure next steps.
  • Own renewal and expansion. GRR and NRR are your measures. Renewals should never be surprises. Expansion should be proactive, well-evidenced, and tied to use cases the customer already believes in.
  • Mock solutions to prove what's possible. Build quick Liveboards, prototype Spotter agents, or sketch a Data App concept to secure stakeholder buy-in before a formal build kicks off. You don't need engineering to demonstrate value.
  • Be the customer's voice inside ThoughtSpot. Translate account context into product feedback, roadmap input, and internal prioritisation. You are the connection point between what the customer needs and what ThoughtSpot builds.
  • Build adoption programs with internal champions. Help customers identify and grow internal advocates. Support the rollout planning and change activity that turns a product deployment into a business capability.

Who We're Looking For:

  • 3+ years in a customer-facing role that blends business and technology: Customer Success, Solutions, or Consulting within a SaaS environment. You're comfortable working across both business and technical stakeholders, and you know how to move between the two.
  • Business acumen. You think in outcomes, not activities. You can connect product usage to business metrics, frame a value story around what matters to the customer's function, and use standard ROI frameworks to build a credible case for investment. You don't need to own the financial model solo, but you know how to contribute to one.
  • Analytics and BI fluency. You're familiar with how data and analytics platforms work inside an enterprise, how teams consume insights, where BI adoption typically stalls, and what good data-driven decision-making looks like in practice. Direct experience with ThoughtSpot or a comparable platform is a strong plus.
  • Stakeholder communication. You communicate clearly and credibly with senior business stakeholders: Directors, VPs, and the occasional C-suite sponsor. You can simplify a complex value story into something a non-technical executive acts on, and you know how to structure a business update that doesn't get ignored.
  • Structured account management. You're organized and proactive. You can run a multi-threaded account plan, manage competing priorities across a portfolio, and keep stakeholders aligned without needing someone to chase you.
  • Medium technical depth, used deliberately. You can build Liveboards, configure Spotter agents, and prototype Data Apps well enough to prove a use case. You understand LLMs and can advise customers on where AI adds genuine value to their analytics workflows.
  • Consultative instinct. You ask before you advise. You listen for the outcome behind the question, and you know when to challenge a customer's assumptions rather than just confirm them.

About ThoughtSpot

The world’s most innovative companies turn to ThoughtSpot’s AI-Powered Analytics to put data in the hands of everyone, from the C-suite to the frontline. With simple, natural language search and AI, anyone can ask questions, discover insights, and act with confidence. Unlike legacy tools that sacrifice performance for complexity, ThoughtSpot is intuitively designed for every business user while being built to handle the most complex, large-scale data, wherever it resides. This unique combination of speed and simplicity is why enterprise leaders trust ThoughtSpot to transform decision-making into a truly data-driven culture.

At ThoughtSpot, we’re a curious, data-driven bunch. We believe the world works better when everyone has access to facts. That’s why we build products that make asking and answering data questions as natural as having a conversation.

Mandatory and Required Skills for All ThoughtSpot Roles

Spotters are expected to demonstrate AI literacy and workflow integration to include to ability to:

Comfortably and confidently integrate artificial intelligence into their daily workflow to increase productivity and quality.

Hands-on experience to leverage AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality.

Speak to the experience of using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions.

Write effective prompts to get the most accurate and creative results from AI tools.

Spotters are expected to exemplify these key traits and AI Mindset:

Curiosity in exploring new AI tools

Adaptability to quickly learn and implement new, emerging AI technologies

Critical thinking to know when to identify when AI should be used versus when human judgement is necessary

This combination of curiosity, adaptability, and discernment defines the AI mindset, and it’s required for every role at ThoughtSpot.

AI Mindset for All Spotters

At ThoughtSpot, we believe AI is a necessary and essential part of how we work. Every role, across every team, is expected to be fluent and comfortable with using AI to do their best work.

All Spotters are expected to experiment with ThoughtSpot’s AI tools (like Spotter and SpotterViz) and leading industry LLMs to streamline workflows, enhance output, and uncover new insights. Whether drafting content, analyzing data, or summarizing documents, AI is a daily partner. We value curiosity, openness to learning, and thoughtful application of AI to create real value. Training and resources are provided so every Spotter can confidently create with AI.

ThoughtSpot for All

At ThoughtSpot, diverse teams build better products. Complex data problems need many perspectives, not just one. We welcome different backgrounds, identities, and experiences, and we work to create a place where everyone can be themselves and do their best work. If this role excites you and you believe you’re a strong match, we encourage you to apply.

What Makes ThoughtSpot a Great Place to Work?

ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action, on a mission to make the world more fact driven. We hire people with unique identities, backgrounds, and perspectives - this balance-for-the-better philosophy is key to our success. When paired with our culture of Trust, Customer Obsession, Innovation and Intensity, ThoughtSpot cultivates a respectful culture that pushes norms to create world-class products. If you’re excited by the opportunity to work with some of the brightest minds in the business and make your mark on a truly innovative company, we invite you to read more about our mission, and apply to the role that’s right for you.

Originally posted on Himalayas

本页面信息整理自 Himalayas,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。

该公司其他在招职位

AgentSpot 销售执行经理

ThoughtSpotUnited States$210,000 - $300,000/年Full Time5 天前
市场运营职能支持限定地区(需当地身份)

企业客户经理

ThoughtSpotGermanyFull Time6 天前
市场运营职能支持限定地区(需当地身份)日间重叠约 2 小时,需偶尔早起或晚睡

← 返回全部职位