Manager, Technical Adoption Architecture (Professional Services)

About the role

Ironclad is seeking a forward-thinking Manager, Technical Adoption Architecture to lead an AI‑focused team of Technical Adoption Architects (TAAs). TAAs are product experts who help customers realize value from Ironclad’s CLM platform, agents, and AI offerings, partnering with customers from proof of value through implementation, activation, and foundational adoption. In this role you will oversee the team that drives agentic and AI solutions into customer deployments, evolve Professional Services delivery, provide hands‑on support for complex engagements, coach and develop TAAs, translate strategy into executable plans, and partner with Product and Engineering on early feedback for new AI capabilities.

Responsibilities

• Lead, mentor, and grow a high‑performing team of Technical Adoption Architects
• Set clear performance expectations, provide regular feedback, and support career development, retention, and progression
• Translate Customer Value and Professional Services strategy into an executable team plan, operating rhythm, and set of measurable outcomes
• Oversee delivery of packaged service offerings, custom SOW delivery, and investment projects, incorporating agentic and AI‑enabled solutions into customer deployments
• Guide the team in designing and building customer contracting processes in Ironclad, including workflows, templates, integrations, automations, and AI‑supported experiences
• Provide hands‑on support for complex or at‑risk projects, strategic customer engagements, executive workshops, and stakeholder escalations
• Advise on staffing, resource planning, forecasting, and prioritization to ensure smooth project delivery and effective customer coverage
• Partner with Account Teams, Adoption Strategists, Enterprise Architects, Legal AI Specialists, Support, Customer Success, Product, and Engineering to improve the end‑to‑end customer experience
• Establish a regular feedback loop with Product and Engineering by involving the TAA team in early product feedback, testing, and readiness for new agent and AI capabilities
• Build the team's AI fluency so they can support customers in understanding how to apply AI responsibly, including what AI and agents can and cannot do, appropriate controls, risks, and tradeoffs within contracting workflows
• Continuously improve and evolve Professional Services toward a model centered on customer value, measurable outcomes, speed to value, and sustained adoption
• Build scalable processes, playbooks, tooling, and operating mechanisms that enable consistent delivery