AI Program Manager

Litmos•Newtown Square, PA

1d•$120,000 - $150,000•Remote

About The Position

Litmos is 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.

Requirements

4-5+ years of experience in program or project management, coordinating cross-functional business or technology projects
Experience managing a portfolio or program of related projects, not just a single project at a time
Experience coordinating projects with business teams such as Finance, Product, or Customer Success
Working knowledge of project management tools (e.g., Jira, Asana, Smartsheet) and practices (timelines, RAID logs, status reporting)
Basic familiarity with AI and agentic tools and workflows, sufficient to coordinate projects and support team upskilling (no hands-on model-building experience required)
Experience supporting training, upskilling, or change-management efforts within a business team
Strong organizational skills and ability to manage multiple concurrent workstreams and deadlines
Clear written and verbal communication skills; comfortable coordinating across technical and non-technical stakeholders
Detail-oriented with strong follow-through on action items and deliverables

Nice To Haves

PMP or similar project management certification
Experience with change management or training program coordination
Familiarity with agentic AI tools or workflow automation platforms
Experience with compliance or governance tracking processes
Exposure to Agile/Scrum project delivery methods
Experience in fast-growing organizations undergoing AI adoption

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
Share feedback and status updates with program leadership to support broader AI portfolio planning