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 owns the analytics ecosystem for all of sales, serving as the architect of how the revenue organization measures performance, forecasts pipeline, and makes data-driven decisions.
Responsibilities
- 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
Skills
- 5+ years in Sales Analytics, Revenue Operations, or GTM Analytics at a B2B SaaS company
- Sigma Computing: production-level experience building and maintaining dashboards, workbooks, and self-service reporting layers for revenue teams
- Gong: hands-on experience with Gong Forecasting configuration, dashboard development, and driving platform rollouts across an AE organization
- Snowflake: proficiency querying and building on Snowflake as a data warehouse; familiarity with Snowflake AI / Cortex features
- Salesforce: deep understanding of the Salesforce data model including Opportunity objects, pipeline mechanics, and Opportunity Splits
- SQL: strong SQL skills for pipeline validation, ad hoc analysis, and data quality debugging
- 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
- Executive communication: ability to translate complex data architecture and analytics decisions into concise, actionable recommendations for CRO-level stakeholders
- 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
Benefits
- Bonus or incentive compensation
- Equity
- A comprehensive benefits package
Company Overview
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