Oversee Quality Assurance standards and ensure performance expectations at Boldr. Collaborate with various teams to implement best practices and coach team members for improvement.
Responsibilities
Oversee the quality and performance standards of your team’s day-to-day work.
Serve as the primary escalation point for quality-related issues.
Ensure consistent adherence to client guidelines, internal processes, and performance expectations.
Collaborate closely with the Client Experience Manager and People Manager to identify coaching opportunities.
Share QA insights and standardize best practices.
Lead SolidRoad implementations and optimizations, ensuring QA workflows are effectively built and continuously improved.
Conduct regular trend analysis and data reporting to drive measurable quality improvements.
Contribute to the operational execution of quality assurance programs by supporting QA workflow design, audit monitoring, and continued improvement initiatives.
Requirements
Curious and authentic, just like us! #beboldr
Passionate about learning and developing relationships with clients
Analytical and a problem solver
Able to multitask and prioritize
Adaptable to change and attentive to detail
Able to work well in a team environment
Able to reduce frustration on heated topics by listening and being solutions-oriented
Fluent and articulate with strong writing and clear presentation abilities - persuasive but empathetic
Able to handle conflict and pressure, to set priorities and abide by them, and to consistently maintain a positive client service image under difficult conditions
Bachelor's/College degree in a relevant discipline you’re passionate about!
3+ years of supervisory experience in a related field (especially Quality Assurance and Customer Support).
Experience supporting SaaS products or troubleshooting experience (calls, chats, emails and SMS)
An interest in data trends and analysis and a natural ability to spot patterns across large sets of data
A general understanding of quality assurance.
Intermediate knowledge of CRM systems (i.e. Zendesk, Intercom strongly preferred).
Intermediate knowledge of cloud-based applications (Google Drive, Google Sheets, Google Docs) and MS Office applications.
User experience and implementation of QA tools a plus
Willingness to learn about Data Science and Machine Learning
Excellent verbal and written communication skills.
Ability to understand and communicate complex ideas to customers, both verbally and in written form.
Aptitude to quickly learn and navigate new technology, systems, and applications.
Ability to accept feedback gracefully and with an open mind.
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