Director, Revenue Systems Analytics
关于非正常角色的设计是为了发现其他人错过什么。同样的本能应该推动我们运营我们的业务方式。作为收入系统与分析总监,你将拥有不正常上市引擎背后的技术和真相。向 GTM 运营副总裁 Ted Noble 报告,你将领导市场营销,销售和客户成功技术堆背后的战略,路线图和团队,并构建执行层面的分析,以显示整个收入机器实际如何表现,从第一接触到更新和扩张。这是一个不安的建设者的工作:们在市场上开始,希望让 Anormal 成为第一位人工智能原生公司。规模是真实的,而且快速增长.Anormal 在 ARR 中约3.8亿美元的财务年度结束了26,年增长大约50%,超过5000名客户和富士通500强的30%以上信任我们保护他们的员工。随着我们从电子邮件安全扩展到更广泛的行为人工智能平台,动作变得更加复杂:更多产品,更多购买旅行,更多营销,销售和成功之间的交付。你的系统和数字将是保持所有这些联系在一起的东西,并使领导者能够清楚地看到增长从哪里来。你会做什么 · 所有 GTM 技术堆端到端。在营销,销售和客户成功技术生态系统中引领战略,架构和路线图,把它们视为一个连接收入平台而不是三个单独的工具集。·建立一条推动增长的路线图。将每个系统投资与公司策略和收入目标进行协调,无情地根据对管道的影响,转换,保留和扩张优先考虑。· 以人工智能先决的方式领导。定义人工智能和代理工作流程如何在 GTM 堆中显示,从自动化手工工作到表现出代表和领导者可以采取行动的见解。设定 AI 加速决策而不牺牲准确性,审计性或对数据的信任标准。· 使收入分析成为唯一的真相来源。引领营收分析功能并构建和维护执行级仪表板,以整个客户生命周期中显示真正的端到端性能,因此从 CEO 开始就从相同数量上进行工作。·分解密码。设计指标,定义和报告,将每个切割,销售和客户成功,统一了这些数字。
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About the Role
Abnormal was built to spot what everyone else misses. The same instinct should power how we run our business.
As Director, Revenue Systems & Analytics, you'll own the technology and the truth behind Abnormal's go-to-market engine. Reporting to Ted Noble, VP of GTM Operations, you'll lead the strategy, roadmap, and team behind our marketing, sales, and customer success tech stacks, and you'll build the executive-level analytics that show how the whole revenue machine actually performs, from first touch to renewal and expansion. This is a role for a restless builder: someone who sees a disconnected stack or a siloed dashboard as an invitation to redesign it, and who wants to help make Abnormal the #1 AI-native company, starting with how we go to market.
The scale is real and growing fast. Abnormal closed FY26 at roughly $380M in ARR, growing about 50% year over year, with more than 5,000 customers and over 30% of the Fortune 500 trusting us to protect their people. As we expand from email security into a broader behavioral AI platform, the motions get more complex: more products, more buying journeys, more handoffs between Marketing, Sales, and Customer Success. Your systems and your numbers will be what keeps all of it connected, and what lets leadership see clearly where growth is coming from next.
What You Will Do
- Own the GTM tech stack end to end. Lead strategy, architecture, and roadmap across the marketing, sales, and customer success technology ecosystems, treating them as one connected revenue platform rather than three separate toolsets.
- Build a roadmap that drives growth. Align every system investment to company strategy and revenue goals, prioritizing ruthlessly based on impact to pipeline, conversion, retention, and expansion.
- Lead with an AI-first approach. Define how AI and agentic workflows show up across the GTM stack, from automating manual work to surfacing insights reps and leaders can act on. Set the standard that AI accelerates decisions without sacrificing accuracy, auditability, or trust in the data.
- Make revenue analytics the single source of truth. Lead the Revenue Analytics function and build and maintain executive-level dashboards that show true end-to-end performance across the full customer lifecycle, so leaders from the CEO down are working from the same numbers.
- Break down silos. Design metrics, definitions, and reporting that cut across Marketing, Sales, and Customer Success, uniting every team around the shared goal of growth instead of functional scorecards.
- Govern data like it matters. Partner closely with Data and Finance on data quality, governance, and metric definitions so GTM reporting reconciles cleanly and holds up in board and executive settings.
- Manage the stack as a business. Own GTM software strategy, vendor relationships, budget, and renewals, consolidating where it makes sense and investing where it moves the needle.
- Build and lead the team. Hire, develop, and lead a high-performing team of systems, data, and analytics professionals, including people leaders, and grow the next generation of leaders within GTM Operations.
- Be a strategic partner to GTM leadership. Work hand in hand with Marketing, Sales, Customer Success, Finance, IT, and Security leaders to translate business priorities into systems and insights, and bring a clear point of view on what the data says about where to go next.
Must Haves
- 10+ years of experience in GTM systems, revenue operations, or revenue analytics at a high-growth B2B SaaS company, with at least 5 years leading teams.
- Proven track record owning a multi-function GTM tech stack (marketing, sales, and customer success) and delivering a strategic roadmap tied to revenue outcomes.
- Deep expertise in Salesforce as the core system of record, plus hands-on experience with a cloud data warehouse and BI platform for executive reporting.
- Experience building executive and board-level dashboards that connect the full funnel, from pipeline generation through bookings, retention, and expansion.
- Strong command of GTM metrics and definitions (pipeline, conversion, ARR, net and gross retention, forecast) and the credibility to defend them in front of senior leaders.
- Demonstrated experience bringing AI and automation into GTM systems and workflows, with sound judgment about where it helps and where it adds risk.
- Experience managing software budgets, vendor negotiations, and stack rationalization.
- Exceptional cross-functional leadership: the ability to align Marketing, Sales, Customer Success, Finance, and IT around shared priorities and shared numbers.
Nice to Haves
- Experience with tools in our ecosystem, such as Marketo, Gainsight, Gong, Snowflake, Sigma, Workato, and Highspot.
- Background in cybersecurity or another technical, enterprise-focused category.
- Experience scaling GTM systems and analytics through a multi-product or platform expansion.
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:
$210,400—$302,500 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.
Originally posted on Himalayas