Applied AI Architect

## Responsibilities - Conduct stakeholder research across the GTM motion, from pre-sales through post-sales, to map where intelligence gaps, workflow friction, and handoff failures are most acute. Translate findings into a structured and prioritized backlog of problems to solve, including problem statements, impact, and feasibility scoring, dependencies, and stakeholders. - Build and refine AI agents tailored to your area of the revenue lifecycle, contributing directly to system architecture, retrieval logic, and output calibration on top of shared infrastructure. Ship working solutions against real workflows - Stay embedded in regional operating rhythms: pipeline reviews, deal cycles, QBRs, renewal planning, and account strategy sessions. The system gets better because the individuals building it never leave the commercial and customer motion. Field proximity is the operating discipline. - Own the reliability and quality of the systems you manage. Monitor adoption, diagnose output failures, and tune/iterate continuously. You are not handing off to an ops team. You operate what you ship. - Contribute to the shared knowledge hub by validating field signals, structuring deals and customer patterns, and ensuring that intelligence captured across the revenue lifecycle flows back in a form that produces better agent outputs. - Recognize patterns across your area and scale what works. A system built for one account scenario, customer segment, or deal stage should become reusable infrastructure for adjacent situations. - Partner with Growth Engineering, PMM, Solutions Consulting, Pricing, Customer Success, and leadership to ensure the systems you build are grounded in a cross-functional context and adopted by the people they serve. - Help shape what this function becomes as the technology and the role category mature. The playbook is being written in real time, and you will be one of the authors. ## Requirements - You are a builder. You get excited by taking ideas from concept to reality. You have used AI to build agents, automations, or tools that changed how real work gets done. You can scope and prioritize solutions, contribute to system architecture and retrieval design, evaluate outputs for quality, and diagnose why something was missed at the system level rather than just the content level. You own what you help build, - You are highly autonomous, technically minded, self-directed, and comfortable operating as a senior individual contributor in a new domain. - You are a builder. You get excited by taking ideas from concept to reality. You have used AI to build agents, automations, or tools that changed how real work gets done. You can scope and prioritize solutions, contribute to system architecture and retrieval design, evaluate outputs for quality, and diagnose why something was missed at the system level rather than just the content level. You own what you help build, ## Nice to Have - None specified. ## Benefits - Work with a passionate and collaborative team. - Opportunity to work at the frontier of AI-enabled GTM execution at a scaled global SaaS company. - Influence the development of AI systems that create durable value at scale. - Be part of a team that is field-attached, product-minded, and outcome-driven. - Contribute to a shared knowledge hub and ensure intelligence captured across the revenue lifecycle flows back in a form that produces better agent outputs. - Help shape what this function becomes as the technology and the role category mature.