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Manager, Technical Adoption Architecture (Professional Services)

Ironclad - San Francisco, CA, United States - Hybrid - posted 2026-09-11

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Salary: USD 134,000 - 168,000 / annual

Ironclad is the leading AI contracting platform transforming agreements into assets. The company unifies contract buying and selling on one intelligent platform, enabling faster processes, instant insights, and AI-agent-driven work. Trusted by organizations like Rivian, the World Health Organization, and the Associated Press, Ironclad is recognized as a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management. You will lead a high-performing team of Technical Adoption Architects (TAAs) who are product experts and problem solvers responsible for helping customers realize value from Ironclad's CLM platform, agents, and AI offerings. TAAs partner with customers from early proof of value through implementation, activation, and foundational adoption, translating customer goals into practical, scalable contracting solutions. In this people-first, customer-centric leadership role, you will oversee a team at the forefront of Ironclad's agent and AI product offerings. You'll ensure agentic solutions and AI capabilities are thoughtfully incorporated into customer deployments while helping evolve how Professional Services delivers customer value, outcomes, and adoption. Key responsibilities include: - Lead, mentor, and grow the TAA team with clear performance expectations, regular feedback, and career development support - Translate Customer Value and Professional Services strategy into executable team plans and measurable outcomes - Oversee delivery of packaged service offerings, custom SOW delivery, and investment projects incorporating AI-enabled solutions - Guide the team in designing customer contracting processes, including workflows, templates, integrations, automations, and AI-supported experiences - Provide hands-on support for complex or at-risk projects, strategic customer engagements, and executive workshops - Advise on staffing, resource planning, forecasting, and prioritization for smooth delivery and customer coverage - Partner with Account Teams, Product, Engineering, and cross-functional teams to improve end-to-end customer experience - Establish feedback loops with Product and Engineering for early product feedback and readiness testing - Build the team's AI fluency to support customers in understanding responsible AI application, limitations, controls, and risks - Continuously improve Professional Services toward a model centered on customer value, measurable outcomes, and sustained adoption - Build scalable processes, playbooks, and operating mechanisms enabling consistent delivery excellence - Identify opportunities to use AI tools internally for preparation, solution design, delivery efficiency, and team operations - Analyze implementation data and customer feedback to improve quality, time to value, adoption, and project health - Be accountable for team KPIs including customer outcomes, adoption, time to value, project health, delivery quality, utilization, revenue delivery, gross margin, and implementation CSAT - Work with Professional Services leadership on annual planning, team strategy, risk management, and change-management priorities The role is hybrid with office attendance required twice weekly for collaboration and connection, with potential additional in-office days for team or company events. Travel up to 10% of the time is expected. REQUIREMENTS: - Demonstrated experience managing or mentoring an implementation, consulting, architecture, or customer-facing technical team - Experience in a Professional Services delivery role with strong results in customer satisfaction, project delivery, adoption, and risk mitigation - 6-8 years of experience working with a SaaS, AI, or technology company - Experience with the Ironclad platform or other CLM systems strongly preferred - Practical AI fluency and strong curiosity about emerging agent and AI capabilities, with ability to explain AI concepts, limitations, risks, controls, and use cases clearly - Experience diagnosing why an AI interaction or agent workflow did not produce desired results and iterating on prompts, processes, or solution design preferred - Strong technical solution-design judgment, including experience with workflows, automations, integrations, platform architecture, sequencing, maintainability, and extensibility - Ability to connect technical decisions to customer value, adoption outcomes, measurable success criteria, and long-term platform ownership - Experience translating strategy into executable plans and leading teams through organizational or operating-model change - Strong communication and interpersonal skills with ability to establish vision, inspire and grow diverse teams, and provide and receive feedback - Proven ability to build scalable systems, improve operational efficiency, and adapt quickly in evolving organizations - Comfortable working directly with enterprise customers, navigating complex stakeholder groups, and managing escalations - Ability and willingness to travel up to 10% of the time

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