Company
Technology
DirectorofRevops
Neural analysis suggests this role is
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“Director of Revops. Skills: Revenue Operations, GTM Tech Stack, Data Governance, Metric Definitions. Establish canonical definitions for revenue metrics. Enforce canonical definitions for revenue metrics”
Industry & Context.
Root cause analysis; Data-driven decision making
What They're Looking For.
Must Have
5+ years in Revenue Operations, 5+ years in Sales Operations, Deep fluency in GTM tech stack, Comfortable writing SQL, Comfortable reading data models, Experience managing technical GTM resources, Experience partnering with technical GTM resources, Experience managing data engineering resources, Experience partnering with data engineering resources, Track record of building reporting infrastructure
Nice to Have
Experience at $10M - $50M+ ARR company, Familiarity with dbt, Familiarity with modern data stack concepts, Experience with product-led growth data, Experience with product usage analytics, Background working with external RevOps agency, Background managing external RevOps agency relationship, Exposure to construction tech, Exposure to proptech
What You'll Do.
Establish canonical definitions for revenue metrics
Enforce canonical definitions for revenue metrics
Serve as internal arbiter for mismatched numbers
Find root cause of mismatched numbers
Fix root cause of mismatched numbers
Maintain data dictionary documentation
Manage vendor relationships
Make build vs. buy decisions
Partner with GTM engineers on technical execution
Set direction for GTM engineers
Manage relationship with external RevOps agency
Oversee quote-to-cash build
Own pipeline reporting
Own conversion analysis
Own revenue forecasting inputs
Build reporting dashboards
Maintain reporting dashboards
Surface data that drives decisions
Act as connective tissue between GTM teams
Partner with product team on signals
Surface product usage signals
Bring rigor to product-side metrics
How You'll Work.
Team & Collaboration
GTM engineers; External agency; Executive team; Sales; Marketing; CS; Finance; Product team
Full Job Description
We are an innovative technology company providing a cutting-edge, AI-powered cloud platform for the construction industry. Created by industry experts with deep estimating experience, our software dramatically streamlines the pre-construction process. Our solution uses advanced machine learning to automate traditionally time-consuming takeoff tasks, helping estimators work up to 80% faster while reducing costly errors. Our collaborative platform enables real-time teamwork, instant drawing analysis, and features a revolutionary conversational AI interface that transforms how professionals interact with construction plans. Founded by construction industry veterans, our award-winning application automates the takeoff process, enabling estimators to analyze blueprints in seconds rather than hours or days. YOU YOU HAVE A BACKGROUND IN THE TECHNICAL SIDE OF GTM, YOU’VE BEEN SPENDING FREE TIME TESTING THE TRUE ABILITY OF AI TOOLS, AND YOU’RE LOOKING FOR A NEXT GEN COMPANY WHERE YOU HAVE A BIG CANVAS TO PUT YOUR KNOWLEDGE TO USE. THE ROLE This is a foundational hire - you'll be the person who makes sure the revenue org is operating off clean, trusted numbers, that our GTM tech stack works as a system, and that the definitions of what we measure are consistent across sales, marketing, finance, and product. Right now we have strong infrastructure in place: our data warehouse is largely built out, Amplitude is piped in, and an external RevOps agency has been helping us clean up quote-to-cash across Salesforce, Maxio, and our marketing stack. What we don't yet have is a senior internal owner who can govern that system, establish canonical metrics, and turn data into decisions. You'll work closely with our GTM engineers, our external agency, and our executive team. You'll own the defining layer - what things mean and why - and you'll be the DRI for how the revenue org uses data to operate. WHAT YOU WILL OWN Metric definitions and data governance - Establish and enforce canonic
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