Director of Revops

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 canonical definitions for ARR, MQL, activation, churn, and other core revenue metrics across GTM and finance Serve as the internal arbiter when numbers don’t match - find the root cause and fix it at the source Own the data dictionary and make sure documentation stays current as the business evolves We're building our infrastructure and data for the purpose of leveraging AI platforms. GTM tech stack Own the GTM tech stack: Hubspot, Maxio, marketing automation, enrichment tools, and the connections between them Manage vendor relationships and make build vs. buy decisions on tooling Partner with our GTM engineers on technical execution - you set direction, they build Manage the relationship with our external RevOps agency and oversee the handoff of the quote-to-cash build Reporting and analytics Own pipeline reporting, conversion analysis, and revenue forecasting inputs for the executive team Build and maintain dashboards that give the sales and marketing teams self-serve visibility into what’s working Surface the data that drives decisions - not just the data that answers questions after the fact Cross-functional alignment Be the connective tissue between sales, marketing, CS, finance, and product on anything data or systems related Partner with the product team to make sure product usage signals in Amplitude are surfaced to the revenue org in useful ways Bring the same rigor to product-side metrics that you bring to GTM - activation, engagement, and expansion signals matter as much as pipeline   What we’re looking for 5+ years in Revenue Operations, Sales Operations, or a closely related role at a B2B SaaS company Deep fluency in the GTM tech stack - Salesforce or HubSpot, marketing automation, billing systems, and how they connect Genuinely data literate: comfortable writing SQL, reading data models, and having an informed conversation with a data engineer about what’s possible - you don’t need to build pipelines, but you need to understand how they work Strong point of view on metric definitions and the discipline to enforce consistency across a team that will push back Experience managing or closely partnering with technical GTM or data engineering resources Track record of building reporting infrastructure that people actually use - not dashboards that go stale Comfortable in a fast-moving environment where you’ll be asked to go from zero to polished faster than feels reasonable   Nice to have Experience at a company that went through $10M - $50M+ ARR - you’ve seen what breaks and how to get ahead of it Familiarity with dbt or modern data stack concepts (semantic layer, data modeling) Experience with product-led growth data or product usage analytics alongside traditional GTM metrics Background working alongside an external RevOps or consulting agency and managing that relationship Exposure to construction tech, proptech, or other industry verticals with complex project-based sales cycles We are an equal opportunity employer committed to building a diverse team. We welcome applications from candidates of all backgrounds who are passionate about using technology to transform the construction industry. Join us in revolutionizing pre-construction estimating with the power of AI!

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