Learning Experience Design Specialist

WHOOP

Boston (MA)

On-site

USD 50,000 - 65,000

Full time

14 days+

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Benefits offered by this job

Equity

Job summary

WHOOP is seeking a Learning Experience Design Specialist in Boston, MA (on-site with remote options) to design and deliver scalable learning experiences for the Membership Services team.

You will partner with stakeholders, leverage instructional design and AI-powered tools, and manage the LMS to accelerate performance and improve member outcomes. The role emphasizes governance, analytics, and continuous improvement.

Qualifications

  • 3+ years in Learning & Development or related field with digital learning experience.
  • Experience administering an LMS with content management, reporting, and governance.
  • Experience creating eLearning using modern authoring tools such as Articulate Storyline, Rise, Vyond, Synthesia, or similar platforms.
  • Strong instructional design foundation with ability to translate complex business processes into engaging, performance-focused learning experiences.
  • Experience partnering with cross-functional stakeholders, managing multiple priorities, and delivering high-quality work in a fast-paced environment.
  • Strong analytical skills with experience using learning data and performance metrics to evaluate program effectiveness and inform continuous improvement.
  • Curiosity and enthusiasm for applying AI-enabled tools to improve learning design, content development, and operational efficiency.
  • Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.

Responsibilities

  • Design, develop, and maintain engaging digital learning experiences—including eLearning, microlearning, instructor-led, and blended learning programs that accelerate speed to competency and improve business performance.
  • Own and administer the Membership Services Learning Management System (LMS), ensuring learning content is effectively deployed, governed, maintained, and measured.
  • Partner with cross-functional stakeholders to identify learning needs, prioritize initiatives, and develop scalable enablement programs that align with business objectives.
  • Leverage instructional design best practices, learning technologies, and AI-enabled tools to create high-quality, learner-centric experiences that can scale across a growing global organization.
  • Establish and continuously improve learning design standards, governance processes, and content frameworks that promote consistency, efficiency, and quality across learning initiatives.
  • Measure and communicate the effectiveness of learning programs through performance metrics, learner analytics, and business impact, using insights to continuously optimize learning experiences.
  • Lead TRE events for change training, continuous learning and new hire onboarding
  • Provide lateral support to Training Delivery
  • Support a Global Membership Services team and have the ability to flex working hours

Skills

Instructional design
Learning analytics
Cross-functional collaboration
AI tools

Tools

Articulate Storyline
Rise
Vyond
Synthesia
LMS administration

Job description

Learning Experience Design Specialist

Boston, MA; Remote

Employment Type

Full time

Location Type

On-site

Department

Membership Services

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.

WHOOP is hiring a Learning Experience Design Specialist to design and deliver engaging learning experiences that enable the Membership Services organization to perform at its highest level. In this role, you will partner with business leaders to translate operational priorities into scalable learning solutions, leveraging instructional design expertise, learning technologies, and AI-powered tools to accelerate employee performance and continuously improve the member experience.

RESPONSIBILITIES
  • Design, develop, and maintain engaging digital learning experiences—including eLearning, microlearning, instructor-led, and blended learning programs that accelerate speed to competency and improve business performance.
  • Own and administer the Membership Services Learning Management System (LMS), ensuring learning content is effectively deployed, governed, maintained, and measured.
  • Partner with cross-functional stakeholders to identify learning needs, prioritize initiatives, and develop scalable enablement programs that align with business objectives.
  • Leverage instructional design best practices, learning technologies, and AI-enabled tools to create high-quality, learner-centric experiences that can scale across a growing global organization.
  • Establish and continuously improve learning design standards, governance processes, and content frameworks that promote consistency, efficiency, and quality across learning initiatives.
  • Measure and communicate the effectiveness of learning programs through performance metrics, learner analytics, and business impact, using insights to continuously optimize learning experiences.
  • Lead TRE events for change training, continuous learning and new hire onboarding
  • Provide lateral support to Training Delivery
  • Support a Global Membership Services team and have the ability to flex working hours
QUALIFICATIONS
  • 3+ years of experience in Learning & Development, Instructional Design, Learning Experience Design, or a related field, with experience developing digital learning solutions.
  • Experience administering a Learning Management System (LMS), including content management, reporting, and governance.
  • Demonstrated experience creating eLearning using modern authoring tools such as Articulate Storyline, Rise, Vyond, Synthesia, or similar platforms.
  • Strong instructional design foundation with the ability to translate complex business processes into engaging, performance-focused learning experiences.
  • Experience partnering with cross-functional stakeholders, managing multiple priorities, and delivering high-quality work in a fast-paced environment.
  • Strong analytical skills with experience using learning data and performance metrics to evaluate program effectiveness and inform continuous improvement.
  • Curiosity and enthusiasm for applying AI-enabled tools to improve learning design, content development, and operational efficiency.
  • Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.

WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.

At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success.

The U.S. base salary range for this full-time position is $50,000 - $65,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.

  • In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.

These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

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