Head of AI Deployment

We're hiring a Head of AI Deployment to lead a team of 4–6 in turning Gryps deployments into measurable value for our customers. You'll own the full post-sale relationship: understanding each customer's program, designing the data strategy behind their deployment, identifying the use cases that matter most, guiding the implementation team to fast, repeatable time to value, and measuring the success of the deployment. This is a player-coach role. You'll work directly with owner executives and program leaders while developing early-career professionals into strong implementers and advisors. You'll also be accountable for renewals and expansion.

Responsibilities

Manage, coach, and grow a team of 4–6 customer success and implementation professionals; Build playbooks, standards, and rituals for consistent delivery, including onboarding frameworks, implementation checklists, account reviews, and health scoring; Work with customers to find the highest-value use cases across their capital programs and prioritize them by business impact and feasibility; Design the data strategy for each use case, including which sources to connect and how outputs tie back to systems of record and decisions; Turn customer outcomes into quantified value stories for executives and champions; Serve as trusted advisor and executive sponsor for accounts; Lead executive business reviews connecting product usage to program outcomes; Represent the customer's voice internally, partnering with Product and Engineering on requirements, feedback, and roadmap priorities; Own adoption and engagement metrics across the book of business and step in before accounts become risks; Run implementation for speed and repeatability, removing bottlenecks and shortening time to first value and time to full deployment; Own gross and net revenue retention, including renewal forecasting, negotiation, and execution; Find and close expansion opportunities such as new use cases, departments, programs, or campuses, working with Sales

Requirements

8+ years of construction domain experience, with a deep understanding of how capital projects are planned, delivered, and closed out, and the data that flows through each phase; An engineering or quantitative background, such as a degree in civil, mechanical, or construction engineering, construction management, or another analytical field, plus comfort reasoning about data structures, metrics, and systems; Executive presence, being credible with senior owner leadership, able to run a boardroom conversation, and able to hold a point of view under pressure; A track record of coaching early-career professionals and building teams that measurably improve under your leadership; Clear, structured communication, written and verbal, explaining complex technical and data concepts simply to field teams and executives alike; Experience designing data strategies, or a proven ability to connect business problems to data sources, workflows, and outcomes; Commercial ownership, being comfortable being accountable for renewal and expansion revenue

Nice to have

Experience at an owner organization, such as a health system, university, airport, public agency, or large real estate owner, managing capital programs from the owner's side; Experience implementing or managing construction technology platforms such as Procore, e-Builder, Unifier, Kahua, or enterprise data and AI tools; Familiarity with BIM, digital twins, GIS or facilities and asset management data; Experience at an early-stage or high-growth software company