Abnormal AI is looking for a Sales Analytics Manager to join the Field Operations team. This role owns the analytics ecosystem for all of sales, serving as the architect of how our revenue organization measures performance, forecasts pipeline, and makes data-driven decisions. The ideal candidate brings a strong AI-first mindset and hands-on expertise with Gong, Sigma Computing, and Snowflake to build scalable, self-service analytics that directly accelerate business outcomes. You will work cross-functionally with Sales Leadership, Finance, Data Engineering, and the CRO organization to elevate analytics maturity from descriptive reporting to predictive, AI-augmented intelligence.
What You Will Do- Lead the global rollout of Gong Forecasting across the full AE organization, driving platform adoption, building executive forecast dashboards for CRO-level visibility, and designing AE/RD 1:1 coaching dashboards for Sales Leadership
- Own and evolve the Sigma Computing reporting ecosystem—including Activity Analytics, EOQ Retro, Metrics That Matter, and the GTM Reporting Catalog—replacing manual spreadsheet workflows with scalable, governed BI solutions
- Apply an AI-first approach to analytics: lead a formal Sigma AI POC, identify high-impact use cases where AI reduces time-to-answer for Sales Leadership, and deliver a strategic FY27 roadmap for AI-driven self-service analytics built on Snowflake AI
- Architect and execute the Salesforce Opportunity Split framework end-to-end—from technical requirements and Finance sign-off through pilot deployment, downstream impact analysis, and full Snowflake/Sigma data pipeline parity
- Drive GTM Data Governance by owning the cross-functional Data Dictionary, relaunching the Reporting Council, and formalizing the KPI sign-off and metric codification process with Data Engineering
- Define and document the strategic Reporting Strategy vision, including target-state outcomes, Gold Standard certified reports, and a scalable self-service analytics framework
- Partner with Sales Enablement and Field Operations to build training programs, enablement materials, and adoption strategies that drive lasting behavior change across the revenue organization
- Conduct deep-dive analyses to surface pipeline health trends, forecast risks, and performance gaps—translating findings into clear recommendations for Sales and GTM leadership
AI tools are not optional in this role—they are core to how we work. We expect this person to actively use and evaluate AI capabilities across Sigma, Snowflake, and Gong to reduce manual work, accelerate insight delivery, and build more intelligent self-service experiences for the revenue organization. Candidates should be able to speak concretely about how they have applied AI tools in prior analytics or operations work, and bring a point of view on where AI can create the most leverage in a GTM analytics context.
Must Have Skills- 5+ years in Sales Analytics, Revenue Operations, or GTM Analytics at a B2B SaaS company Required
- Sigma Computing: production-level experience building and maintaining dashboards, workbooks, and self-service reporting layers for revenue teams Required
- Gong: hands-on experience with Gong Forecasting configuration, dashboard development, and driving platform rollouts across an AE organization Required
- Snowflake: proficiency querying and building on Snowflake as a data warehouse; familiarity with Snowflake AI / Cortex features Required
- Salesforce: deep understanding of the Salesforce data model including Opportunity objects, pipeline mechanics, and Opportunity Splits Required
- SQL: strong SQL skills for pipeline validation, ad hoc analysis, and data quality debugging Required
- AI-first mindset: demonstrated experience evaluating and deploying AI tools within analytics workflows, with a clear point of view on where AI creates leverage in GTM contexts Required
- Executive communication: ability to translate complex data architecture and analytics decisions into concise, actionable recommendations for CRO-level stakeholders Required
- Experience owning or contributing to data governance programs: data dictionaries, KPI standardization, reporting councils, or metric sign-off frameworks
- Familiarity with dbt, Fivetran, or modern ELT tooling upstream of Sigma/Snowflake
- Experience building AE or Sales Manager enablement strategies tied to data platform adoption (e.g., Articulate 360, Highspot)
- Prior experience in a Field Operations or RevOps function at a company scaling past $300M ARR
- Bachelor’s degree in a quantitative field (Business Analytics, Statistics, Computer Science, or related); advanced degree a plus
#LI-EM3
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.
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.
Skills Required
- 5+ years in Sales Analytics, Revenue Operations, or GTM Analytics at a B2B SaaS company
- Production-level experience building dashboards in Sigma Computing
- Hands-on experience with Gong Forecasting configuration
- Proficiency in querying and building on Snowflake
- Deep understanding of the Salesforce data model
- Strong SQL skills for pipeline validation
- Experience evaluating and deploying AI tools in workflows
- Ability to translate data architecture into actionable recommendations
Abnormal Security Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Abnormal Security and has not been reviewed or approved by Abnormal Security.
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Fair & Transparent Compensation — Pay is considered aggressively benchmarked to leading tech markets with annual reviews, and feedback suggests engineering and sales roles are compensated competitively with strong upside potential.
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Healthcare Strength — Health coverage is portrayed as robust, including employer-paid premiums for employees in prior postings, One Medical access, and globally designed healthcare and parental leave.
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Leave & Time Off Breadth — Time off provisions include flexible/unlimited PTO, company holidays, and paid parental leave that the company positions as globally available.
Abnormal Security Insights
What We Do
The Abnormal Security platform protects enterprises from targeted email attacks. Abnormal Behavior Technology (ABX) models the identity of both employees and external senders, profiles relationships and analyzes email content to stop attacks that lead to account takeover, financial damage and organizational mistrust. Though one-click, API-based Office 365 and G Suite integration, Abnormal sets up in minutes and does not disrupt email flow. Abnormal Security was founded in 2018 by CEO Evan Reiser, CTO Sanjay Jeyakumar, Head of Machine Learning Jeshua Bratman, and Founding Engineers Abhijit Bagri and Dmitry Chechik. The team previously built behavioral profiling and machine learning technologies at Twitter, Google and Pinterest that are being applied to solve a problem that costs organizations $1 billion per year, according to the FBI. The Abnormal Security platform stops targeted phishing, business email compromise and account takeover attacks that have never been seen before.
