Student Success Lead

Student Success Lead

Design and operate the system that keeps students on track — s isn't a role about knowing each student individually. It's about building the frameworks, segments, and action triggers that ensure the right intervention reaches the right student at the right moment — systematically, not case by case.

You think like an analyst and act like an operator. You build the segmentation logic, define what each segment needs, test whether the actions work, and improve the system over time.

• Define the behavioural and performance dimensions that matter for classifying students — think recency of engagement, frequency of practice, and mastery signals.
• Translate these dimensions into a working, maintainable tagging system: every student has a clear segment, and that segment updates as their behaviour changes.

• For each segment, define the intended action: what happens, who owns it, through what channel, and at what cadence.
• These aren't ad‑hoc responses to individual cases — they're standing playbooks that run whenever the criteria are met.
• Work with Communication & Reporting to ensure the right message reaches students and parents at trigger points. Work with Student Journey to ensure high‑risk segments are surfacing upstream journey problems, not just downstream symptoms.

• Track segment movement over time: are at‑risk students converting to on‑track? Is the high‑potential segment growing?
• Run structured tests on interventions — vary the action, the timing, or the channel, and measure which combination moves the metric.
• Bring findings back into the playbooks. The system should get smarter each semester.

• Maintain the operational view of student health across programs — who's in which segment, how it's changed week over week, and what the team should prioritise.
• Flag when segment patterns suggest a systemic problem (e.g., a whole cohort going cold) vs. a distribution of individual issues.

• Think in systems and segments, not individual cases. When you see a 60% completion rate, your first instinct is to cut it by behaviour cluster — not to pick up the phone and call a student.
• Are comfortable building classification logic — defining the criteria, testing whether they work, and refining them when they don't.
• Can move between data and action without losing the thread. You're not just an analyst who writes reports — you close the loop into a concrete playbook.
• Are structured in how you communicate findings. Teams downstream (comms, school leads, supervisors) need to know what to do, not just what the data says.

• 2 years of experience in growth, lifecycle/CRM, operations, or data‑driven customer success — any role where you segmented a user population and designed differentiated actions per segment.
• Comfort working with data: building or reading cohort analyses, defining tagging criteria, tracking segment migration over time.
• Experience running A/B tests or structured experiments on interventions — not just reporting on outcomes.

• Health:
  Full Medical coverage including Family Dependants.
• Time Off: 21 days annual leave.
• Team & Connection:
  Regular social activities with a smart, low‑ego, multi‑cultural team.

• Impact:
  Work on the world’s first social learning platform that impacts millions of students globally.
• Values:
  Join a team that lives by STUDENT FIRST, BE ORIGINAL, OWN IT, and BE BETTER EVERYDAY.
• Innovation:
  An environment that offers the freedom to commit "first‑time mistakes" in the pursuit of learning and bold solutions—NEVER DEPRIVE A LEARNER.

We are proud to be an equal opportunity employer. Noon is an equal‑opportunity employer and encourages applicants from all backgrounds to apply.