Remote Senior Program Manager, AI-Driven Employee Experience

Ladders; United States; Remote; USD 128,000 - 174,000; Full time

Benefits offered by this job

Measurable impact

AI & tech innovation

Cross-team collaboration

Growth in dynamic environment

Job summary

Ladders is seeking a Senior Program Manager, Employee Experience to drive the strategy and outcomes of remote-first technology-enabled work streams within a US-based organization.

You will own a portfolio of cross-functional programs, lead research and experiments, and translate findings into practical frameworks and measurable outcomes that improve how employees work and how the business learns.

Qualifications

• 8+ years in program management or related fields.
• Expertise in AI adoption and technology enablement.
• Proven track record in leading complex, cross-functional programs.
• Experience in designing and managing research and innovation programs.
• Strong understanding of virtual-first and modern work environments.
• Excellent communication and facilitation skills.
• Ability to navigate ambiguity and proactively identify opportunities.

Responsibilities

• Own strategy and outcomes for a remote-first work stream focused on technology.
• Design and lead organizational research and experiments.
• Translate findings into actionable recommendations and frameworks.
• Manage a portfolio of concurrent programs from scoping to enablement.
• Establish objectives, success measures, and reporting for the work stream.
• Facilitate cross-functional initiatives with various stakeholders.
• Partner with analytics experts to evaluate research outcomes.

Skills

Program management

AI adoption

Cross-functional leadership

Communication

Facilitation

Ambiguity navigation

Job description

Ladders is seeking a Senior Program Manager, Employee Experience to drive the strategy and outcomes of remote-first technology-enabled work streams within a US-based organization.

You will own a portfolio of cross-functional programs, lead research and experiments, and translate findings into practical frameworks and measurable outcomes that improve how employees work and how the business learns.