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Salary: USD 117,020 - 174,763 / annual
Gusto is seeking a Talent Development Leader to architect and lead the design of foundational talent products and capability frameworks. This is a strategic, high-impact role focused on building an innovative, agile capability model and tech-forward development ecosystem that delivers blended learning experiences embedded in the flow of work.
You will spearhead the design and development of Gusto's enterprise capability framework across individual contributor and leadership tracks, managing the full product lifecycle of learning solutions from user discovery and MVP prototyping through shipping, scaling, and maintenance. Key responsibilities include:
• Define and evolve the capability framework product roadmap, embedding AI-native competencies and managing it as a live product responsive to user needs, performance data, and business strategy
• Partner with content designers to co-create and ship blended learning experiences using iterative development cycles
• Establish the strategic vision for core enablement programs using a hub-and-spoke model, scaling solutions across the organization
• Own architectural design for modular content and automated governance, establishing standards for chunking, tagging, and dynamic updates
• Collaborate with HR business partners and executive stakeholders to analyze skill data, validate capabilities, and align learning investments with business goals
• Work with People Technology teams to define functional and technical requirements for the capability engine, productizing learning experiences within HR tech platforms and daily workflows
• Partner with executive and business leaders to diagnose emerging capability needs and translate operational priorities into clear, accessible training
The Talent Development team acts as a strategic partner to the business, moving beyond traditional programs to design organizational conditions that create clarity, connection, and commitment. You will leverage strong cross-functional judgment and translate validated capability data into scalable standards, establishing a single source of truth across the organization.
Gusto is on a mission to grow the small business economy, handling payroll, health insurance, 401(k)s, and HR so small business owners can focus on their craft. The company supports more than 500,000 small businesses nationwide and has teams in Denver, San Francisco, and New York.
REQUIREMENTS:
• Typically 8+ years of progressive experience in Talent Development, Learning Architecture, Technical Instructional Design, or Organizational Design, with a track record of building foundational programs from scratch
• Ability to establish vision, guide strategic policy development, and architect agile solutions amidst shifting business landscapes
• Strong strategic judgment and cross-functional fluency; proven ability to partner with HR business partners and executive leaders to translate complex organizational data into clear capability priorities
• Expertise in technical instructional design and modular architecture—proficient in structuring, tagging, and object-oriented content design
• Passionate about leveraging AI and automation to streamline learning design processes; experienced in defining AI-native skills within capability frameworks
• Exceptional relationship management skills with a track record of driving strategic consensus across diverse business customers and partner teams
• Thrives in fast-paced, high-growth environments with agility to establish trusted, scalable learning infrastructure amidst rapid change
• Experience designing and integrating content across various platforms (LMS/LXP systems, internal wikis, workflow-embedded tools)
• Ability to instrument learning assets with data tracking to measure efficacy (click-through, completion, knowledge gain) and use insights to iteratively optimize content
• Experience integrating generative AI or automation into the content production pipeline as a tool to speed up prototyping, drafting, or adaptive pathing
• Proven experience with A/B testing and rapid prototyping, using clear data signals as the primary driver for ongoing iterations
