AI Program Manager

Are you looking for an opportunity to help solve one of today's biggest business challenges? AI is changing the pace of business, and organizations everywhere are struggling to help their workforce, partners, and customers keep up. At Litmos, we're building the Learning Acceleration Platform that helps organizations build human capability faster—and we're looking for people who are passionate about making a meaningful impact for customers while growing alongside a collaborative, people-first team. Litmos is the Learning Acceleration Platform that helps organizations build capability faster, adapt at the speed business changes, and scale learning to anyone, anywhere. Combining an intuitive platform, AI-powered capabilities, trusted content, expert services, and a broad ecosystem of integrations, Litmos helps organizations accelerate workforce productivity, improve customer adoption and retention, enable high-performing partners, and reduce organizational risk through continuous learning. Organizations such as Hewlett Packard Enterprise, Graco, Sabre, and Russell Mineral Equipment trust Litmos to accelerate learning across their workforce, partners, and customers. Today, more than 11K customers with 30 million learners across 150 countries and 37 languages use Litmos to build the capabilities their organizations need to succeed. Backed by Francisco Partners, one of the world's leading technology investment firms, we're investing in the future of learning—and the people who are building it. Learn more at [](https://www.litmos.com). We are seeking an AI Program Manager to coordinate AI-related projects across internal teams such as Finance, Product, and Customer Success. This is a hands-on, execution-focused role responsible for keeping AI initiatives on track—planning, scheduling, and driving projects to completion, and helping teams build their own AI skills along the way. You will be the day-to-day point of contact who keeps cross-functional Agentic work moving, surfaces risks early, and ensures teams have the information they need to make decisions. This role coordinates the people and projects that put AI to work across the business; it does not involve hands-on development of AI models or applications (e.g., RAG pipelines, LLM development). You will apply core program and project management practices—scoping, scheduling, risk tracking, status reporting, and stakeholder communication—to a portfolio of related AI initiatives owned by business teams, ensuring individual projects ladder up to shared program goals, and you will identify, propose, and lead projects that help advance the organization toward becoming an agentic-first operational organization. This role requires strong organizational skills, attention to detail, and the ability to coordinate multiple workstreams and stakeholders simultaneously. Key Responsibilities - AI Project Tracking & Coordination across the Litmos organization - Maintain an up-to-date tracking of active AI projects across business teams (e.g., Finance, Product, Customer Success), including status, timelines, dependencies, and owners - Support intake and scheduling of new AI project requests from business teams; help prioritize work based on direction from project sponsors and leadership - Track resource needs across AI projects and flag scheduling conflicts to the relevant business leads and managers - Organize and run regular status check-ins and working sessions with project teams - Identify and sequence dependencies across projects within the program, flagging where one project's timeline or output affects another - Prepare status summaries and materials for leadership review of project progress and risks - Program Execution & Tools - Apply project management practices—project plans, timelines, RAID logs, and status templates—to AI initiatives led by business teams - Maintain templates, trackers, and runbooks for common types of AI projects (e.g., workflow automation, agentic tooling rollouts) to keep execution consistent - Support day-to-day collaboration between business stakeholders and any technical partners involved in a project; clarify roles, timelines, and next steps - Onboard project team members to established tools and processes; answer process questions and provide day-to-day coaching - Risk & Issue Tracking - Log and track project-level risks and issues (e.g., delays, resourcing, adoption barriers) and follow up on assigned mitigation actions - Coordinate with security, compliance, and legal teams to schedule any required reviews and confirm approvals are completed on time - Track completion of required checkpoints (e.g., data access approvals, tool onboarding, training) ahead of project milestones - Maintain checklists confirming projects have completed necessary internal review steps before key milestones - Skill Development & Enablement - Partner with business teams (Finance, Product, Customer Success, and others) to assess AI skill gaps and coordinate training, tools, and resources to close them - Track individual and team progress on AI upskilling plans; maintain a simple skills/readiness tracker across groups - Maintain a shared knowledge base of AI project templates, playbooks, and FAQs for use by other teams - Document lessons learned and best practices from completed projects; share broadly to support future initiatives - Cross-Functional Coordination & Integration - Serve as the day-to-day point of contact between AI project teams and business stakeholders across Finance, Product, Customer Success, and other groups - Track and follow up on dependencies and handoffs between AI projects and related initiatives - Schedule and support cross-functional working sessions; take notes, track action items, and follow up to closure - Relay updates between teams to keep everyone aligned on progress - Status Reporting & Metrics - Maintain dashboards and trackers showing project status, milestones, and key metrics across the AI project portfolio - Compile regular status reports summarizing progress, risks, and blockers for stakeholders and leadership - Maintain a program-level roadmap and recurring cross-project sync so reporting reflects how individual projects fit into the broader AI program - Track adoption and usage metrics for completed AI and agentic-workflow initiatives - Flag emerging risks or delays proactively so leadership and sponsors can make timely decisions - Agentic-First Initiative Development - Identify opportunities within business teams to introduce agentic workflows or AI-assisted processes; propose and scope candidate projects - Take ownership of select projects end-to-end, from proposal through execution, that advance the organization's shift toward an agentic-first operating model - Identify recurring process bottlenecks and suggest practical improvements to project tracking and coordination