Director, Skills Intelligence & Learning Experiences | US

Degreed is the leading enterprise learning system for workforce transformation, bringing together everything people need to learn and advance: courses, videos, articles, projects, and real-world skill insights, matched to individual roles, skills, and goals.

For businesses, Degreed builds the infrastructure for a culture of learning that attracts, develops, and retains top talent, driving performance at scale. Named to Fast Company's World's Most Innovative Companies of 2026 — alongside Google, Nvidia, and Adidas — Degreed is recognized for its AI-driven approach to closing the human readiness gap and turning learning ambition into measurable impact.

We believe learning is the key to unlocking opportunity, and our mission is to discover, empower, and celebrate the next generation of global expertise. Join us in shaping the future of learning and workforce development!

About the Role

We are looking for a strategic product leader to own Skills Intelligence and Learning Experiences at Degreed: the intelligence layer that defines what a skill is and how proficiency is measured, and the learning experiences that turn that intelligence into real capability growth.

This role is built for a product manager who has shipped learning platforms at scale and knows what it takes to help people actually learn. You understand the difference between content a learner clicks through and a program that changes what someone can do. You have built the systems that recommend the next right thing, structure a path toward a goal, and demonstrate that a skill was developed rather than simply consumed. Learner outcomes are the point, and you keep them at the center of every decision.

Underneath those experiences sits Degreed's skills data model: the foundation that defines what a skill is, how proficiency is measured, and how that information powers AI, learning experiences, and enterprise workflows across the product. You will own that foundation as well, and you will treat it as a long-lived system rather than a collection of features. Success comes from a skills model that becomes more useful over time, supports new products without constant rework, and gives customers confidence that the data behind it can be trusted.

The role owns both halves of the loop: the intelligence that makes learning relevant, and the learning experiences where learners discover, develop, and demonstrate new skills. The strongest candidate is fluent in both and insists that neither works without the other.

Key Skills

• Learning product leadership. You have shipped learning platforms or learning products that measurably helped people build skills, and you can point to the outcomes, not just the launches. You lead with both the learner and the enterprise buyer in mind, and you translate each into product decisions.
• Enterprise learning fluency. You understand how large organizations structure learning: academies, certifications, career paths, and cohort-based programs. You can translate those models into product decisions that hold up across very different customers.
• Assessment design. You can define proficiency scales with clear, observable distinctions between levels, and explain those distinctions to customers when challenged. A background in psychometrics or learning assessment is a strong advantage.
• Taxonomy design depth. You have built classification systems that stay useful as domains evolve. You are familiar with frameworks such as O*NET and ESCO, and you understand how AI-based skill matching depends on taxonomy quality.
• Data product mindset. You have managed structured data with clear ownership, versioning, quality standards, and well-defined interfaces for downstream consumers.
• Long-term systems thinking. You design systems that grow more accurate and useful as data accumulates, and you define the metrics that prove that improvement.
• ML fluency. You understand enough about how ML models consume training data to work effectively with engineers and to evaluate data quality, coverage, and sources of bias.
• Trust and fairness judgment. You are comfortable in ambiguous situations where standardized definitions and customer requirements do not fully align. You make consistent decisions and explain the reasoning behind them.
• AI-assisted workflows. You use AI to accelerate taxonomy research, synthesize across sources, and prototype changes before implementation.
  
  

Key Responsibilities

Learning Experiences

• Shape Degreed's learning experiences, from self-paced pathways to structured, cohort-based programs.
• Own Degreed Academies, enabling enterprise customers to deliver certifications, onboarding, and other structured learning programs.
• Decide how skill data powers personalized learning recommendations, including what content gets suggested to a learner next.
• Direct the AI feature that identifies a learner's skill gaps and generates content to close them.
• Design the full learner journey: how someone finds a skill gap, engages with content, and demonstrates they have closed it.

Skills Intelligence

• Own the full data model behind Degreed's skills product: how skills are defined, organized, and kept accurate as the system grows.
• Run the platform enterprise clients use to adapt Degreed's skill list to their own internal language, combining AI suggestions with human review.
• Design the rating scale used to measure skill proficiency, including the criteria that separate one level from the next.
• Keep Degreed's skill data compatible with external frameworks and with enterprise HR systems.
• Build the process by which every AI interaction across the product improves the underlying skill data over time, and measure that improvement with real numbers.
• Evolve the skills model by making deliberate trade-offs between consistency, customer flexibility, and long-term product health.
  
  

Experience

• Experience level: Expert (8+ years), including direct ownership of shipped learning products.
  
  

Compensation

We are committed to fair and equitable compensation practices. The total pay range for this role is 185.000 USD - 197.000 USD.
Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to: skill set, depth of experience, certifications, specific work location, and internal equity.

Benefits

We take care of our people with a comprehensive benefits package designed to support your well-being, growth, and success.

View full details →

At Degreed, We Value

🔷  Diversity & Inclusion – We celebrate diverse perspectives and backgrounds, fostering an inclusive environment where everyone can thrive and contribute.
🔷  Growth Mindset – Learning is at the heart of what we do. We empower our employees to continuously develop their skills and grow their careers in alignment with their unique strengths and aspirations.
🔷  Collaboration – The best ideas come from working together. We cultivate a culture of open communication, teamwork, and shared success.

By joining Degreed, you’ll be part of a community that values learning, collaboration, and meaningful impact. If you’re passionate about driving change through upskilling and workforce transformation, we encourage you to apply and contribute to our mission.

Work Environment & Physical Demands

Degreed offers flexible work arrangements tailored to each role. Some positions are fully remote, while others follow a hybrid model for employees near an office. Please check the job details for role-specific requirements.
For remote and hybrid roles, you’ll collaborate virtually using tools like Zoom and Slack. This role may require prolonged computer use and stationary work, with the ability to interpret written and verbal communication effectively.
We are committed to creating an inclusive and adaptable work environment that enables every team member to thrive and do their best work.

Additional Information

Degreed is an equal opportunity employer committed to fostering a workplace free from discrimination and harassment. We do not discriminate based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all aspects of employment, including recruitment, hiring, career development, compensation, and training.

🔷  Accessibility & Accommodations – We are dedicated to full inclusion and will provide reasonable accommodations for applicants with disabilities throughout the hiring process. If you need assistance, please let us know.
🔷  Fair Hiring Practices – In compliance with the San Francisco Fair Chance Ordinance, we consider qualified applicants with arrest and conviction records.
🔷  E-Verify Participation – Degreed participates in the E-Verify employment verification program.

Global Data Privacy Notice for Job Candidates & Applicants

If you’re applying from specific regions, your personal data may be processed in line with applicable privacy laws, including the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). To understand how we handle applicant data, please review our Global Data Privacy Notice and related policies:

•  Global Privacy Notice
•  DPR Compliance Details

By submitting your application, you acknowledge and agree to our use and processing of your data in compliance with applicable laws.

Fraudulent Recruitment Warning

Beware of fraudulent recruitment scams using the Degreed name. Scammers may impersonate our company, website, or hiring team. Degreed will never:

🚫  Conduct recruitment via WhatsApp, Telegram, or direct-messaging platforms.
🚫  Request sensitive personal or financial information in unsolicited communications.
🚫  Offer jobs requiring upfront payments or promising unrealistic returns.
🔵  Official Degreed communications will always come from a @degreed.com email address or phone number during the hiring process.

If you encounter suspicious activity, please report it immediately. Stay vigilant and protect yourself from fraud.