The Senior Learning Experience Designer will be responsible for creating and implementing global training programs for support ticket-based teams within Checkr's Service Excellence team. This role focuses on developing scalable onboarding and learning frameworks to ensure faster ramp-up and consistency across a distributed, global workforce.
This role is expected to significantly improve the speed and consistency of onboarding and ongoing training for Checkr's support and compliance teams globally. By creating scalable and effective learning frameworks, the Senior Learning Experience Designer will contribute to a more efficient and knowledgeable workforce, ultimately enhancing customer service and operational excellence.
This summary was generated from the original job posting (AI-assisted, human-reviewed). For full details, visit the company's site.
About Checkr
Checkr is building the data platform to power safe and fair decisions. Established in 2014, Checkr’s innovative technology and robust data platform help customers assess risk and ensure safety and compliance to build trusted workplaces and communities. Checkr has over 100,000 customers including DoorDash, Coinbase, Lyft, Instacart, and Airtable.
We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.
As a Senior Learning Experience Designer, you will be a part of the Service Excellence team within the Operations organization, focusing on the training, enablement, and content for the support ticket-based teams. Reporting to the manager, Sr. Manager, Service Excellence, you’ll partner closely with support and compliance teams across operations. This role is responsible for designing a scalable, global onboarding and learning framework that drives faster ramp and consistency across a distributed workforce, leveraging AI-powered tools and data-driven insights to optimize learning outcomes.
Responsibilities:
Leverage AI tools and learning analytics to personalize training experiences, identify knowledge gaps, and optimize content delivery based on learner performance data.
What you bring:
Pay Transparency Disclosure
One of Checkr’s core values is Transparency. To live by that value, we’ve made the decision to disclose salary ranges in all of our job postings. We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website.
On-target Earnings OR Base Salary range (Denver, CO)
$82,000 - $102,000 USD
On-target Earnings OR Base Salary range (Nashville, TN)
$74,000 - $93,000 USD
At Checkr, we believe a hybrid work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO, San Francisco, CA, and Santiago, Chile. Individuals are expected to work from the office 2 to 3 days a week. Starting January 2026, hub-based employees will be expected to work from the office 3 days per week. In-office perks are provided, such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages.
Equal Employment Opportunities at Checkr
Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance.
*Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com).
We believe in being open about how we process and present job information
Important: This summary was generated from the original job posting (AI-assisted, human-reviewed). For complete details, terms, and application instructions, always visit the company's official website.
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