Remote Operations Specialist

Summary

Join our expanding MX team as an Operations Specialist, where you'll be instrumental in spearheading project execution and ensuring we meet our service level agreements (SLAs). Collaborating with a team of talented individuals, you'll lead the way in operational excellence, drive efficiency, and play a pivotal role in our team's and company's success.

Requirements

• Advanced English language skills, both written and verbal
• Proficiency in Google Workspace (Docs, Sheets, Slides)
• At least three months of industry experience in an operational role and/or a top-tier consulting firm
• An action-oriented mindset, balancing creative problem-solving with scrappiness to deliver results
• Driven to adapt, demonstrate versatility, and succeed in a dynamic, high-tempo setting
• Ability to work independently and collaboratively within a remote setting

Responsibilities

• Build and drive some of our most critical operational processes
• Collaborate with stakeholders to improve processes for new and existing customers
• Apply analytics to identify areas for process improvement and optimization
• Collaborate closely with the GenAI MX Country Lead and cross-functional teams to achieve service level agreements (SLAs)
• Manage tasks and projects effectively, meeting deadlines and quality standards
• Uncover and overcome pipeline blockers, ensuring smooth and efficient operations
• Keep stakeholders updated on progress
• Maintain advanced English communication skills for internal and external correspondence
• Embark on a journey of personal and professional development, learning from the brightest minds in the field

Preferred Qualifications

• Experience with SQL and/or another database language
• Strong analytical, planning, and process improvement capabilities
• Strong organizational skills and demonstrated ability to track multiple test executions simultaneously and synthesize results
• An undergraduate degree with a substantial analytics component, such as Engineering, Economics, or Business. Alternatively, a strong interest in Computer Science, Statistics, or Data Analytics