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Mudflap

Customer Support Training & Enablement Specialist

Posted 12 Hours Ago
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In-Office or Remote
Hiring Remotely in Austin, TX, USA
67K-85K Annually
Mid level
In-Office or Remote
Hiring Remotely in Austin, TX, USA
67K-85K Annually
Mid level
Own post-onboarding customer support training, coaching, quality assurance, product enablement, LMS administration, certifications, and career development programs. Partner with Support, Product, Engineering, and Operations teams to prepare agents for product and process changes. Use QA, CSAT, productivity, training completion, and proficiency metrics to identify performance opportunities and improve support quality. Develop scalable learning paths and coaching programs that strengthen customer care and Team Lead capabilities.
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At Mudflap, we're modernizing the $1 trillion trucking industry, the backbone of the U.S. economy. By helping over 100,000 underserved small businesses save over $1.5 billion on fuel, Mudflap has quickly grown into a profitable fintech platform that processes billions in annual payment volume.

As a Customer Support (CS) Training & Enablement Specialist you will help build a world-class Support organization. This role owns key parts of the post-onboarding learning experience, including ongoing training, coaching, QA, product readiness, and performance enablement.

You'll partner closely with our Customer Support Training Lead, who owns new hire onboarding, SOP management, and our current knowledge base tooling (Guru). Both roles are expected to flex into the other's scope when coverage requires it.

Work Location: We value in-person connection and have offices in both Palo Alto, CA and Austin, TX. While we prefer candidates located in these hubs for occasional meetings and team collaboration, we are open to remote team members within the United States who can travel periodically as needed.

To support our team, we offer:

  • Commuter benefits to ease your travel

  • Lunches and snacks to keep you fueled

  • A collaborative, high-growth environment where you’ll work closely with talented teammates across the company

Expectations (In this role, you will):

  • Training & Development: Design and deliver ongoing training, workshops, certifications, and learning paths for Agents and Team Leads.

  • Coaching & Performance: Partner with Team Leads to identify performance gaps and create targeted coaching, remediation, and development programs.

  • Quality Assurance: Own our QA program using AI-powered tools and customer interactions to identify trends, coaching opportunities, and areas for improvement.

  • Customer Obsession & Values: Train and coach toward Mudflap's specific standard of customer care—not just process compliance. Build our values into certifications and coaching so agents understand the why behind SOPs, not just the how.

  • Product Enablement: Partner with Product, Engineering, Operations, and Support Leadership to develop training and resources for new products, features, and process changes.

  • LMS & Content: Own LMS administration, learning paths, certifications, and enablement content while partnering with the Training Lead to keep materials aligned with SOPs and Guru.

  • Leadership & Career Development: Build programs that strengthen Team Lead capabilities and create clear growth paths for Support Agents.

  • Analytics: Track QA, CSAT, productivity, training completion, speed to proficiency, and other metrics to measure impact and identify opportunities.

  • Continuous Improvement: Use data, AI, and frontline insights to continuously raise the bar on Support quality, knowledge, and performance.

Experience (What we look for):

  • 4+ years of experience in Training, L&D, Enablement, or QA.

  • Experience designing and facilitating training and coaching programs.

  • Strong communication, facilitation, and project management skills.

  • Experience with LMS platforms, learning content development, and ticketing/support platforms (e.g. Zendesk).

  • Data-driven approach to identifying performance and learning opportunities.

  • Experience with AI-powered QA, coaching, or support tools is a plus.

  • Passion for developing people and building a best-in-class Support organization.

What Success Will Look Like
A scalable post-onboarding learning program, stronger QA and coaching, effective product release readiness, clear career development paths, and a track record of measurably moving the needle on quality, CSAT, and speed to proficiency over time.

Perks and Benefits (What we offer):

  • Competitive salary and equity in a high-growth startup

  • Multiple health benefit options

  • Responsible Time Off

  • 401(k) matching

  • Opportunities and support for major career growth

  • Annual Company offsite event (Mudfest!)

 

The salary range for this role is $67,000 - $85,000. This information reflects a base salary range for this position based on current market data, which may be subject to change as new market data becomes available. The candidate's skills, experience, and other relevant factors will determine the exact compensation.

 

Company Overview (Who we are):

Mudflap is on a mission to transform the trucking and logistics industry by leveling the playing field for owner operators and small fleets. Backed by top-tier venture investors, including QED, Matrix Partners, Commerce Ventures, NFX, and 500 Startups and included in the Forbes Fintech 50 list, Mudflap offers fleet fuel management solutions. Our core team hails from Disney, Uber, Procore, DoorDash, Google, Meta, Capital One, Affirm and Brex.

 

Here are the core values that we believe in and look for in new teammates:

  • Be Customer Obsessed: We deeply understand customer needs and put our customers at the center of everything we do

  • Make It Count: Act like an owner by focusing on the impact of your work

  • Find A Way: Be a creative problem solver who pushes past roadblocks to win for our customers and our teammates

  • Sweat The Details: We keep our standards high and achieve them by paying attention to every detail

  • Be Curious: Use a growth mindset to question assumptions, take calculated risks and stretch the boundaries of what's possible

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