About the role
• Agent-driven enrollment and parent communication pipelines that scale from hundreds
to tens of thousands of families without linear headcount growth.
• 10,000 simulated students testing our curriculum in parallel — stress-testing content,
surfacing gaps, and generating improvements before real students ever see it.
• Automated culture and community agents — building engagement, onboarding, and
retention systems that feel human but run at machine scale.
• Real-time operational dashboards that give leadership visibility into every part of the
business: enrollment, academic progress, parent satisfaction, campus operations.
• AI-first workflows for guides, advisors, and ops staff — freeing them from administrative
burden so they can focus on students.
• Brainlifts that capture institutional knowledge into AI systems that compound over time
— the competitive moat.
• Integration into Alpha’s broader AI ecosystem (EPHOR, Alpha GPTs, Fleet/Swarm
infrastructure)
What We’re Looking For
Required
• Has shipped production AI systems — agents, automation, LLM-powered workflows. Not
prototypes. Not research.
• Power user of Claude Code, Cursor, or equivalent. Already commanding agent fleets,
not planning to “learn AI.”
• Fluent in the fleet commander model: spins up parallel agents, delegates with clear
intent, reviews output with taste and judgment.
• Builds personally. This is a hands-on-keyboard role, not a people management role.
• Enough product sense to know what to automate vs. what stays human in an education
context.
• Moves before certainty. Sees problems nobody assigned and fixes them.
• Comfortable in a startup environment — ambiguity, speed, resource constraints.
Nice to Have
• Experience scaling ops at an education company or high-growth consumer startup.
• Familiarity with Alpha/Trilogy ecosystem and tooling.
• Background in curriculum or content systems at scale.
• Experience building real-time dashboards and business intelligence automation.