Deployment Manager overseeing customer experience operations for AI agents. Managing complex deployments from kick - off to automation performance across multiple stakeholders.
About the role
- Lead customer delivery of AI Governance solutions for enterprise clients at iTmethods. Architect an outcome-based delivery model for multiple regulated industries.
Responsibilities
- Build & Lead the AI Governance Delivery Practice
- Design the end-to-end AI Governance Platform delivery model: engagement structure, onboarding playbooks, embedded deployment, escalation paths, and success metrics
- Build delivery capabilities across the product roadmap (AI Gateway, MCP Hub, Governance Platform)
- Design value pricing frameworks that quantify governed AI outcomes in terms that enterprise buyers understand
- Develop reference architectures, maturity assessments, and trust frameworks that become repeatable, sellable IP
- Build MCP and agent-to-agent (A2A) governance delivery capabilities as new product modules launch
- Translate compliance requirements into scalable delivery IP: EU AI Act, CMMC, FedRAMP, HITRUST, FDA 21 CFR Part 11, ITAR
- Recruit and develop AI governance delivery specialists
- Manage & Evolve Existing Services Function
- Own the existing professional services portfolio (both one-time engagements and recurring revenue) ensuring delivery quality and client satisfaction
- Transition existing enterprise customers onto new product modules as they launch
- Maintain the financial discipline of a bootstrapped company: forecasting, margin management, and resource planning
- Enterprise Sales
- Co-lead (with the CRO) enterprise sales conversations with CISOs, Chief AI Officers, and CFOs
- Articulate the governed AI value proposition and close value-priced engagements
- Drive expansion and renewal through embedded delivery that creates measurable customer value
- Shape go-to-market strategy for outcome-based delivery alongside the CRO and CTO
- Build and AI-Native Culture
- Operate as an AI-native leader - using AI tools daily to amplify output, decision-making, and team productivity
- Recruit, develop, and retain team members who create with AI, not just manage AI projects
- Push AI-native operating norms throughout the delivery organization
Requirements
- Designed and built an outcome-based, value-priced, or embedded delivery model - not just managed T&M or fixed-fee engagements
- Experience with AI Governance - your prior work experience could include: a Big 4 AI risk practice, an AI governance position at a regulated enterprise, a role at an AI GRC platform/technology company, or a Responsible AI function at a Hyperscaler
- AI-native work habits: you use Claude, Cursor, Copilot, or similar tools daily and can show real examples (ie. prototypes, automations, workflows) you have personally built
- Regulated industry experience in 1 or more of the following industries: financial services, pharma/life sciences, defense, healthcare, or semiconductors
- Familiarity with compliance frameworks: EU AI Act, CMMC, FedRAMP, HITRUST, FDA 21 CFR Part 11, ITAR
- Enterprise sales chops - you can lead conversations with CISOs and CFOs, and assist to close large engagements
- Nice To Have:
- Understanding of the EU AI Act high-risk obligations and how governance platforms automate compliance
- Experience with runtime AI governance, API gateway architectures, or network-layer policy enforcement
- Familiarity with MCP (Model Context Protocol) or agent-to-agent governance patterns
- Led a business model transformation in a prior role
- Built something from zero inside an established company (ie. a new function, product, or business line)
- DevOps, platform engineering, or infrastructure background
- You Are:
- A builder - your first instinct is to create, prototype, and iterate, not to reach for process and structure
- Strategic but hands-on - you can roll up your sleeves
- Scrappy - you move fast, operate in ambiguity, and don’t wait for perfect information
- Obsessed with customer outcomes
- Comfortable in a startup/scale-up environment
Benefits
- Strong compensation package (base salary, annual performance bonus, equity)
- Extended health/dental benefits plan
- Learning budget for professional development
- Remote/Hybrid work model
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Experience level
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Degree requirement
No Education Requirement
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