Noon - Education for Everyone

Student Success Lead

Noon - Education for Everyone

Riyadh, Riyadh Province, Saudi Arabia · Full Time

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Experience
2+ yrs
Salary
Openings
1
Posted
1 week ago
Work mode
In office
Eligibility
Candidates with at least 2 years of relevant experience in growth, lifecycle/CRM, operations, or data-driven customer success can apply. The role suits professionals who are comfortable with segmentation, experimentation, and operational follow-through.
Resume
Required to apply

Where you'll work

Job description

About the Company

Noon Academy is a major education technology platform in the Middle East, serving millions of students and teachers through its app for learning, teaching, and collaboration. Backed by $41 million in Series B funding, the company is expanding its regional footprint and aims to reshape classroom learning through social, group-based experiences and AI. Its long-term vision is to connect every learner with great teachers, even when teaching happens virtually, by combining AI, peer learning, and thoughtfully designed learning spaces.

Role Overview

The Student Success Lead is responsible for creating and managing a scalable system that keeps students progressing. This position is not focused on handling each student one by one; instead, it is about designing segmentation rules, identifying the right triggers, and ensuring interventions reach the right learners at the right time.

The role blends analytical thinking with operational execution. You will define student segments, test actions, evaluate whether they work, and continuously improve the process so the system becomes stronger each semester.

What You Will Do

You will build the segmentation framework, create action playbooks for each segment, measure the impact of interventions, and maintain an operational view of student health across programs. You will also help spot patterns that point to broader system issues rather than isolated student cases.

Segmentation and Classification

  • Set the behavioural and performance indicators used to classify students, such as engagement recency, practice frequency, and mastery signals.
  • Turn those indicators into a practical tagging system that consistently assigns each learner to the right segment and updates the segment as behaviour changes.

Action Playbooks

  • Define the response for each segment, including what action is taken, who is responsible, which channel is used, and how often it should happen.
  • Build these as repeatable playbooks rather than one-off fixes for individual situations.
  • Partner with Communication & Reporting to make sure students and parents receive the right message at the right trigger point, and work with Student Journey to surface upstream journey issues instead of only reacting to downstream symptoms.

Measurement and Improvement

  • Monitor how students move between segments over time, including whether at-risk learners become on-track and whether the high-potential group grows.
  • Design and run structured experiments on interventions by changing the action, timing, or channel, then measure which approach improves the outcome.
  • Feed the results back into the playbooks so the operating model keeps improving semester after semester.

Operational Ownership

  • Maintain the live view of student health across programs, including current segment status, week-over-week movement, and team priorities.
  • Identify when segment trends indicate a systemic challenge, such as an entire cohort disengaging, versus a spread of individual student issues.

What Makes You a Good Fit

  • You naturally think in systems and groups rather than isolated cases.
  • You are comfortable creating and refining classification logic based on real data.
  • You can translate data insights into clear operational actions and practical playbooks.
  • You communicate findings in a structured way so downstream teams know exactly what to do.

Experience and Background

  • At least 2 years of experience in growth, lifecycle/CRM, operations, or data-driven customer success, especially in roles involving segmentation and differentiated actions.
  • Comfort with data analysis, including cohort analysis, tagging criteria, and segment migration tracking.
  • Experience designing and running A/B tests or other structured experiments on interventions.

Benefits

  • Comprehensive medical coverage, including dependants.
  • 21 days of annual leave.
  • Regular social activities with a smart, low-ego, multicultural team.

Diversity and Inclusion

Noon values differences and aims to provide a workplace where people of every race, religion, sexual orientation, and gender identity can feel welcome, express themselves freely, and contribute fully. The company is an equal opportunity employer.

Culture and Values

  • Work with a platform that reaches millions of learners worldwide.
  • Join a team guided by Student First, Be Original, Own It, and Be Better Everyday.
  • Be part of an environment that encourages learning through bold attempts and smart mistakes while staying committed to never depriving a learner.

Additional Information

The company reiterates its mission to expand access to high-quality teaching through AI, peer learning, and purpose-built learning environments, while continuing to scale its impact across the region and beyond.

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