• Red-team AI models and agents by testing jailbreak attempts, prompt injections, misuse scenarios, and exploit strategies • Generate high-quality human evaluation data by annotating model failures, classifying vulnerabilities, and identifying systemic risks • Apply structured testing methodologies using taxonomies, benchmarks, and playbooks to ensure consistent evaluation • Document findings clearly and reproducibly, producing reports, datasets, and adversarial test cases that teams can act upon • Work across multiple projects, supporting different AI systems and evaluation objectives

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for an experienced professional to lead customer delivery of AI Governance solutions to enterprise clients in multiple regulated industries. We are building an outcome-based delivery model. This is not a traditional professional services leadership role. The person in this role will architect an outcome-based delivery model from scratch. - Act as a builder and head of the delivery function with the ability to scale in the AI-native organization. - Lead an existing team of delivery professionals while architecting a new delivery model (embedded, outcome-based, value-priced). - Shape how iTmethods’ platform is delivered to customers and how value is measured, priced, and captured. - High impact work that will directly shape the company’s trajectory and future. - Foundational hire with a compensation package that includes equity participation structured for value creation. - Your first 90 days will include: - Stand up delivery playbooks for the Enterprise AI Governance Platform including onboarding frameworks, success metrics, and value pricing. - Work closely with the CRO to close enterprise customers. - Manage and evolve the existing professional services business. - Start building a high performance team. 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 an 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. Qualifications - 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. - 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. Benefits - Strong compensation package (base salary, annual performance bonus, equity). - Extended health/dental benefits plan. - Learning budget for professional development. - Remote work model. Company Description iTmethods is a 20+ year enterprise technology company transforming into an AI-native platform company. We currently serve over 100 enterprise customers across multiple regulated industries. We are building an AI Governance product needed by enterprise companies in regulated industries such as financial services, defense, pharma, healthcare, and semiconductors. - Reign - Enterprise AI Governance Platform. Real-time policy enforcement for every LLM call and AI agent interaction. Trust, compliance, and data sovereignty. - Forge - DevOps managed services platform for regulated enterprises. - BioCompute - Life Sciences AI platform for pharma and biotech. The EU AI Act high-risk obligations take effect in August, 2026. Enterprises need production-grade AI governance now. Reign delivers true runtime policy enforcement and AI governance.

• Support onboarding of customer product catalogs into the platform • Help map attributes, structure data, and identify gaps or inconsistencies • Build simple proof-of-concept examples showing how AI and automation can improve catalog quality and search • Troubleshoot issues related to data, workflows, and integrations • Investigate root causes using APIs, documentation, and datasets • Work closely with product, engineering, and sales teams • Share customer insights to help improve product features and workflows • Help customers unlock more value from structured product data • Identify opportunities to expand usage or support new initiatives

• Monitor tool utilization and usage depth across delivery environments • Track adoption trends and identify gaps by program, function, and role • Drive corrective action where usage is low • Establish accountability with Service Delivery leadership • Lead initiatives that directly improve adoption lift • Map current operational workflows and identify AI insertion points • Audit where tools are bypassed or underutilized • Partner with Delivery leaders to redesign workflows • Standardize best-practice operating models • Conduct training for Agents, Team Leaders, and Operations Managers • Deliver adoption primers and tool walkthroughs • Provide real-world use case demonstrations • Lead refresher sessions for low-adoption teams • Implement certification or validation programs where appropriate • Facilitate workflow redesign workshops • Lead leadership alignment sessions • Connect adoption metrics to performance KPIs • Provide usability coaching and shadowing • Execute targeted interventions based on data signals • Define and track core adoption metrics • Build and maintain dashboards and monthly adoption readouts • Identify risks, gaps, and opportunities • Drive corrective actions in partnership with Delivery leadership • Consolidate friction points and enhancement requests • Prioritize feedback based on adoption and performance impact • Support pilots and feature testing • Measure adoption lift post-release • Partner with Service Delivery on workflow embedding and accountability • Align with Quality and Training on coaching and enablement integration • Collaborate with Product and MomentumLabs on transformation priorities • Support Solutions/Sales with adoption insights where relevant • Adhere to company policies and procedures • Meet or exceed performance targets for related KPIs • Continuously improve knowledge of products, services, and processes by participating in training programs and continuous learning modules • Collaborate with other departments as needed • Maintain a positive, empathetic, and professional attitude toward customers and colleagues at all times • Perform other duties as assigned