Mentor Operations at Udacity
Ensuring students receive great technical support from our mentors is crucial to Udacity’s success. As the team tasked with designing, delivering, and improving mentor-focused initiatives, Mentor Operations is responsible for mentor sourcing and onboarding, performance, payments, support, and engagement. We are a global team with staff in the US, the Middle East, and India.
Technical Performance Specialist
Combining technical expertise and general familiarity with Udacity content, Technical Performance Specialists play a vital role on the Mentor Ops team. At a high level, each Specialist is responsible for managing mentor performance across a “school” of Nanodegrees, while leading or contributing to technical initiatives to drive quality improvements for mentors in all programs. Specialists serve as a vital link that ensures consistently strong mentor quality even as Udacity adds 15+ Nanodegree programs and tens of thousands of new learners each year
Some of the specific responsibilities:
- Evaluating New Mentor Technical Strength: assess the technical skills of new mentors and provide guidance to ensure they provide superlative student support to students from the get go. In addition, you’ll design and run processes to monitor and improve mentor performance for new Nanodegree programs.
- Improving Mentor Quality: through a combination of audits, data analysis, technical certification exercises, and more, you’ll review existing mentor performance, provide input on their relative performance, and establish clear technical standards for mentors in a specific Nanodegree program.
- Mentor Engagement: as the team member responsible for a “school” of Nanodegree programs (e.g. “School of Programming and Development”), you’ll develop strong relationships with top performing mentors in your school and harness their insight to improve Nanodegree projects, instructions, and more.
- Content and Project Feedback: you’ll act as an interlocutor between our Content team, students, and mentors using their feedback and suggestions to improve projects, starter code, content, and more.
- Student Support: at times you’ll be tasked with providing direct technical assistance to Udacity learners who may be struggling to advance through their program and who need additional support. In addition, you’ll review instances of suspected student plagiarism and decide on the proper recourse given Udacity’s honor code policies.
- New Initiatives and New Mentorship: you’ll work closely with the rest of the Mentor Operations, Student Services, Product, Engineering, and Content teams to pilot new forms of mentorship for enterprise customers, scholarship students, and more.
What are we looking for:
- Excellent in reading, understanding, and debugging unfamiliar code as it relates to Data Science in at least one these languages:
- An eagerness to combine a strong knowledge of Data Science with experience designing, launching, and managing operational processes at scale.
- Highly comfortable with Microsoft Excel and strong ability to collect, analyze, and report on data.
- Experience with Tableau and creating dashboards.
- Experience writing clear and concise emails and other communications for diverse and widespread audiences and engaging with global communities through multiple platforms, such as Slack, and more.
- Proven experience of prioritizing and multitasking multiple urgent deliverables.
- Fluent in Python and/or SQL
- Strong Problem-solving skills
- Good at researching and troubleshooting technical issues
- Empathetic and a great mentor
- Excellent organizational skills and ability to meet deadlines
- Driven by data to constantly iterate and improve
- An excellent communicator who excels in listening, writing, and responding professionally
- A team player
Udacity is committed to creating economic empowerment and a more diverse and equitable world. To ensure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, color, religion, sex, gender, gender identity or expression, sexual orientation, marital status, national origin, ancestry, disability, medical condition (including genetic information), age, veteran status or military status, denial of pregnancy disability leave or reasonable accommodation.