Director of Revops

Togal.AI, Inc.

Job Overview

Location

United States

Job Type

Full-time

Full Job Description

📋 Description

• Serve as the foundational internal owner of Revenue Operations for a fast-growing B2B SaaS company serving the construction industry, ensuring revenue org operates on clean, trusted, and consistent data.
• Establish and enforce canonical definitions for core revenue metrics including ARR, MQL, activation, churn, and pipeline conversion rates across sales, marketing, finance, and product teams.
• Act as the internal arbiter for data discrepancies, identifying root causes and implementing fixes at the source to ensure data integrity across systems.
• Own and maintain the company’s data dictionary, ensuring documentation remains current as business needs and systems evolve.
• Manage the full GTM tech stack including HubSpot, Maxio, Salesforce, marketing automation tools, data enrichment platforms, and their integrations.
• Make strategic build-vs.-buy decisions for revenue technology tools and manage vendor relationships to optimize stack efficiency and scalability.
• Partner directly with GTM engineers to translate operational needs into technical execution, setting direction while they build.
• Oversee and guide the external RevOps agency responsible for quote-to-cash automation across Salesforce, Maxio, and marketing systems, ensuring seamless handoff and alignment.
• Own pipeline reporting, conversion analysis, and revenue forecasting inputs presented to the executive team with accuracy and timeliness.
• Build and maintain self-serve dashboards that empower sales and marketing teams with real-time visibility into performance drivers and activity outcomes.
• Surface proactive data insights that drive decision-making, not just retrospective answers to questions.
• Act as the connective tissue between sales, marketing, customer success, finance, and product teams on all data and systems-related initiatives.
• Collaborate with the product team to ensure product usage signals from Amplitude are meaningfully integrated into GTM metrics, including activation, engagement, and expansion indicators.
• Apply the same rigor to product-side metrics (e.g., feature adoption, user retention) as applied to traditional GTM metrics.
• Build reporting infrastructure that is actively used and maintained by cross-functional teams, avoiding stale or underutilized dashboards.
• Operate in a fast-paced environment where rapid iteration from zero to polished is expected, with minimal process overhead.
• Leverage the company’s AI-powered construction platform and data infrastructure to enhance revenue operations through automation and intelligent insights.
• Contribute to shaping the future of RevOps at a company built by construction industry veterans and powered by cutting-edge machine learning.

🎯 Requirements

• 5+ years in Revenue Operations, Sales Operations, or a closely related role at a B2B SaaS company
• Deep fluency in GTM tech stack including Salesforce or HubSpot, marketing automation, billing systems, and their integrations
• Genuinely data literate: comfortable writing SQL, reading data models, and having informed conversations with data engineers about technical possibilities
• Strong point of view on metric definitions and discipline to enforce consistency across teams that may push back
• Experience managing or closely partnering with technical GTM or data engineering resources
• Track record of building reporting infrastructure that is actively used and maintained by teams

🏖️ Benefits

• Opportunity to be a foundational hire in a high-growth, AI-driven company transforming the construction industry
• Work with a cutting-edge platform that automates takeoff tasks using advanced machine learning
• Collaborate with industry veterans and a team passionate about using technology to solve complex industry problems
• Direct influence on revenue systems, metrics, and tech stack at a company scaling rapidly
• Exposure to modern data stack tools and product-led growth analytics alongside traditional GTM metrics
• Culture of innovation with freedom to shape RevOps strategy in a fast-moving environment

Skills & Technologies

Onsite

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Togal.AI, Inc.

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About Togal.AI, Inc.

Togal.AI develops cloud-based construction takeoff software that uses machine-learning to automatically detect, label and measure architectural elements from digital blueprints. The platform converts PDF plans into editable, shareable estimates, cutting the manual takeoff cycle from days to minutes while reducing human error. Built for general contractors, estimators and subcontractors, it integrates with common estimating and project-management tools and supports both commercial and residential projects.

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