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Degreed·USA·5 дн назад
Director, Skills Intelligence & Learning Experiences | US
15 417 – 16 417 $
≈ 1,3 млн–1,4 млн ₽
🌍 УдалённоLeadПолная занятость🌐 Глобал
74
Сильная вакансия
Платят на 29% выше медианы грейда, навык востребован (aws).
Наша компания
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
О роли
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!
Чем предстоит заниматься
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 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
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
Наши требования
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 ONET 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
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
Мы предлагаем
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
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
Fair Hiring Practices – In compliance with the San Francisco Fair Chance Ordinance, we consider qualified applicants with arrest and conviction records
Global Data Privacy Notice for Job Candidates & Applicants
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
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 .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
Дополнительно
Experience level: Expert (8+ years), including direct ownership of shipped learning products
We are committed to fair and equitable compensation practices
Технологии и навыки
Degreed
USA
ГрейдLead
ЗанятостьПолная занятость
РегионСША
ФорматУдалённо
ИсточникСкрыто
Опубликовано5 дн назад
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