[Remote] Sales Analytics Manager

Note: The job is a remote job and is open to candidates in USA. Abnormal AI is looking for a Sales Analytics Manager to join the Field Operations team. This role is responsible for owning the analytics ecosystem for sales, driving performance measurement, forecasting, and data-driven decision-making across the revenue organization.ResponsibilitiesLead 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 LeadershipOwn 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 solutionsApply 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 AIArchitect 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 parityDrive 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 EngineeringDefine and document the strategic Reporting Strategy vision, including target-state outcomes, Gold Standard certified reports, and a scalable self-service analytics frameworkPartner with Sales Enablement and Field Operations to build training programs, enablement materials, and adoption strategies that drive lasting behavior change across the revenue organizationConduct deep-dive analyses to surface pipeline health trends, forecast risks, and performance gaps—translating findings into clear recommendations for Sales and GTM leadershipSkills5+ years in Sales Analytics, Revenue Operations, or GTM Analytics at a B2B SaaS companySigma Computing: production-level experience building and maintaining dashboards, workbooks, and self-service reporting layers for revenue teamsGong: hands-on experience with Gong Forecasting configuration, dashboard development, and driving platform rollouts across an AE organizationSnowflake: proficiency querying and building on Snowflake as a data warehouse; familiarity with Snowflake AI / Cortex featuresSalesforce: deep understanding of the Salesforce data model including Opportunity objects, pipeline mechanics, and Opportunity SplitsSQL: strong SQL skills for pipeline validation, ad hoc analysis, and data quality debuggingAI-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 contextsExecutive communication: ability to translate complex data architecture and analytics decisions into concise, actionable recommendations for CRO-level stakeholdersExperience owning or contributing to data governance programs: data dictionaries, KPI standardization, reporting councils, or metric sign-off frameworksFamiliarity with dbt, Fivetran, or modern ELT tooling upstream of Sigma/SnowflakeExperience 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 ARRBachelor's degree in a quantitative field (Business Analytics, Statistics, Computer Science, or related); advanced degree a plusBenefitsBonus or incentive compensationEquityA comprehensive benefits packageCompany OverviewAbnormal AI is the leading AI-native human behavior security platform. It was founded in 2018, and is headquartered in Las Vegas, Nevada, USA, with a workforce of 1001-5000 employees. Its website is https://abnormal.ai/.Company H1B SponsorshipAbnormal AI has a track record of offering H1B sponsorships, with 3 in 2026, 4 in 2025. Please note that this does not guarantee sponsorship for this specific role.