About the role

Aplyr's Quick Take

This role is about leading sales analytics efforts, focusing on building and managing data systems that help the sales team measure performance and forecast outcomes. It's a hands-on position that requires expertise in analytics tools and a strategic mindset to implement AI-driven solutions.

Good fit

Ideal candidates will have a strong background in sales analytics, experience with tools like Gong and Snowflake, and a collaborative approach to working with various teams. A few years in a similar role would be beneficial, especially if you thrive in a data-driven environment.

Worth noting

The position emphasizes an AI-first approach to analytics, which may appeal to those interested in innovative tech applications. The role also involves significant cross-functional collaboration, which could be a challenge for those who prefer more isolated work.

About the Role

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-Forward Mindset

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

Nice to Have Skills

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.

Base salary range:

$133,900—$192,500 USD

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 & Tags

go ai data analytics product design sales

Aplyr's read

Abnormal Security is at the forefront of cybersecurity, attracting talent passionate about AI-driven email security solutions to combat sophisticated threats.
Synthesized from recent postings & public sources

What's promising

•Abnormal Security leverages advanced AI to tackle complex email threats, offering cutting-edge solutions.
•The company has a strong focus on innovation, constantly updating its technology to stay ahead of cyber threats.
•Abnormal Security is expanding rapidly, offering numerous opportunities for career advancement and growth.

What to watch

•The cybersecurity industry is highly competitive, posing challenges for Abnormal Security to differentiate itself.
•Rapid growth may strain resources and impact work-life balance for employees.
•Limited public information about company culture and employee satisfaction may concern potential applicants.

Why Abnormal Security

•Abnormal Security specializes in AI-driven email security, setting it apart from traditional cybersecurity firms.
•The company focuses specifically on advanced email threats, a niche but critical area in cybersecurity.
•Abnormal Security's technology adapts to evolving threats, providing dynamic protection for clients.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Abnormal Security

Abnormal Security

abnormalsecurity.com

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Abnormal Security is a cybersecurity company that specializes in email security solutions, leveraging artificial intelligence to protect organizations from advanced email threats.