Senior AI Product Manager

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Schellman is a Top 50 CPA firm and a leading provider of attestation and compliance services. Our professional services focus on security and privacy audits, assessments, and certifications. Schellman has become one of the largest cybersecurity assessment firms in the United States without providing any traditional accounting services. We are an accredited multi-framework ISO Certification Body for security, privacy, business continuity, and quality; a globally licensed PCI Qualified Security Assessor and a top provider to clients serving the federal DoD space as a leading FedRAMP 3PAO and the first assessment firm authorized as a CMMC C3PAO. Our specialty and expertise remain in providing best in class Cybersecurity and IT Audits and Attestations. Our culture, approach with clients, and dedication to our values has led us to consistently be a Great Places to Work certified company and rated as a Best Firms to Work For by Accounting Today and a Glassdoor Best Places to Work. We deeply appreciate our employees, as shown by our first core value - People Come First. This is demonstrated in our culture, benefits, and how we handle business. Come see what makes Schellman special! The Senior AI Product Manager is a hands-on, strategic technical leader responsible for developing and delivering AI-powered automation and tooling across Schellman's internal operations and service delivery teams. T his role bridges product strategy and technical execution- encompassing responsibilities from prototyping with Claude and Workato to prioritizing roadmaps and aligning stakeholders. This is a rare hybrid: part product leader, part AI practitioner, part governance architect. The Senior AI Product Manager own s the AI strategy in collaboration with the Lead Enterprise Architect, defin ing which problems AI solves vs. which need simpler solutions, and build ing the guardrails and policies that make AI safe, trustworthy, and compliant across Schellman. The role start s as an individual contributor-hands-on building POCs, establishing governance frameworks, and proving business impact-and will scale to leading a small AI product and engineering team as the organization grows. This role reports to the AI COE (Center of Excellence) . ESSENTIAL FUNCTIONS 1. AI Product Strategy & Prioritization Own Schellman's AI product roadmap for both internal operations and service delivery team automation, translating business needs into AI-powered workflows. Partner with the Lead Enterprise Architect to carve out the AI strategy within the broader technology vision. Define the role of Claude, Workato agentic actions, Glean, and other tools in enabling intelligent automation. Conduct rapid discovery across Finance, HR, IT, Operations, and Service Delivery teams to identify high-impact AI automation opportunities. Determine clear build vs. buy decisions and present to the AI COE for approval: when to invest in custom AI solutions vs. leveraging vendor-embedded AI (Claude, Workday AI, Fieldguide AI, etc.) vs. platform-based automation ( Workato ). Define success metrics for each AI initiative (time saved, error reduction, user adoption, business impact) and track delivery against them. 2. Hands-On AI Development & Prototyping Write prompts, build proofs-of-concept, and prototype agentic workflows using Claude API, Workato , AWS Bedrock, and Glean. Validate product concepts through rapid iteration-test, learn, refine with real users before scaling. Work closely with engineers to translate POCs into production-grade solutions; able to review code, understand integration patterns, and direct technical execution. Stay fluent in AI/LLM capabilities, limitations, and emerging techniques; continuously test new Claude features and evaluate competitive models (OpenAI, others) for fit. Champion a culture of experimentation: encourage teams to prototype, share learnings from failures, and iterate rapidly. 3. AI Governance, Policy & Compliance Establish AI governance frameworks that ensure responsible use of AI across the organization-covering data handling, prompt engineering standards, vendor evaluation, and risk management. Work closely with the Compliance team to define and enforce AI usage policies for Claude.ai Enterprise, Glean, custom AI apps, and vendor-embedded AI. Ensure every AI deployment is governed before reaching customers or employees. Lead vendor evaluation in close collaboration with procurement for AI/LLM platforms (Claude, OpenAI, others, AWS Bedrock alternatives), establishing baseline requirements for compliance, data residency, and security. Partner with Security, Legal, and Compliance to manage AI-related risks: bias, hallucination, data leakage, regulatory requirements (especially for assessment/compliance domain). Document and communicate AI policies, best practices, and governance decisions in close collaboration with compliance and legal to technical and non-technical stakeholders. 4. Cross-Functional Leade

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