
11 - 50 employees
Founded 2019
🤝 B2B
☁️ SaaS
B2B • SaaS
Lean Layer is a fractional RevOps, GTM, and business intelligence services firm that helps B2B companies optimize revenue technology, analytics, and go-to-market strategy. They implement and maintain CRM and RevOps infrastructure (primarily Salesforce and HubSpot), build custom revenue analytics and reporting, and help operationalize revenue strategy — acting as an extension of clients' teams to improve forecasting, conversion, and pipeline growth. Lean Layer offers fractional experts, workshops, and hands-on execution to drive measurable revenue outcomes.
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11 - 50 employees
Founded 2019
🤝 B2B
☁️ SaaS
B2B • SaaS
Lean Layer is a fractional RevOps, GTM, and business intelligence services firm that helps B2B companies optimize revenue technology, analytics, and go-to-market strategy. They implement and maintain CRM and RevOps infrastructure (primarily Salesforce and HubSpot), build custom revenue analytics and reporting, and help operationalize revenue strategy — acting as an extension of clients' teams to improve forecasting, conversion, and pipeline growth. Lean Layer offers fractional experts, workshops, and hands-on execution to drive measurable revenue outcomes.
• Build slide-grade analytics from Salesforce pipeline data and Power BI outputs • Write action titles and causal commentary; walk PE deal teams through the result • Build modular, reusable templates that portfolio company CFOs can refresh next cycle without us • Cascade real-time feedback from PE sponsors during board prep • Attribute pipeline variance to specific deals, segments, or process changes • Translate BI visuals and Salesforce data into executive-facing narratives • Produce pipeline, funnel, and revenue analytics commentary for board and executive audiences • Ensure every deck answers meaningful business questions rather than simply displaying data • Train in-house teams to become self-sufficient • Build deliverables that outlive the engagement • Document client-specific glossaries and reporting conventions
• 4–7 years of experience in management consulting, revenue operations, PE portfolio operations, or analytics consulting • Demonstrated slide craft: action titles, pyramid principle structure, board-pack fluency • Go-to-market analytics literacy: ACV, TCV, coverage, slippage, and win rate as working concepts • Experience reading Salesforce pipeline data without hand-holding • Ability to translate complex data into clear executive narratives • Experience presenting to a CCO, CFO, or PE deal team • Proven ownership of a board-grade deliverable end to end (as the person who held the pen) • Strong attention to detail; a typo in the application is a filter, not a footnote. • Preferred Experience: McKinsey, Strategy&, Bain, BCG, Monitor Deloitte, EY-Parthenon, or similar consulting pedigree. • dbt or modern data stack literacy. • Strong experience with BI tools such as: Looker, PowerBI, Tableau, Sigma, Mode, Domo.
• Offers Commission • Offers Bonus • Multiple Ranges
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