Chief Technology Officer

Co-Founder & CTO — Skillzy (AI Lab + LMS for K-12 and beyond) Equity-based co-founder role | 10–15% founder equity | US, Denver preferred

A NOTE FROM OUR FOUNDER

Every school district in America is being told to “teach AI,” and almost none have a safe, hands‑on way to do it. Kids learn best by doing, breaking and fixing things. Nobody has built that experience for a 9‑year‑old, with guardrails a school board will sign off on. That’s our gap, and the window is open right now.

WHAT WE’RE BUILDING

Skillzy AI Lab: gamified, hands‑on challenges in AI, coding and cyber safety for ages 7–14 (MVP in build) AI Tutor: a safe, curriculum‑aligned assistant that coaches without giving away answers Skillzy LMS: classes, assignments, teacher dashboards, standards mapping, district reporting (next 6–12 months) Beyond K‑12: higher‑ed, workforce and certification pathways (18+ months) We sell to schools and districts through B2B licensing, starting in Denver and Wyoming.

WHAT YOU’LL OWN

Architect and ship the AI Lab MVP, then grow it into a multi‑tenant LMS Design our LLM layer: tutoring agents, auto‑generated challenges, adaptive difficulty, age‑appropriate guardrails Build sandboxed, auto‑reset lab environments at classroom scale and classroom budget Make privacy a feature: FERPA, COPPA, state student‑privacy laws, SOC 2 readiness, WCAG 2.1 AA Integrate with Google Classroom, Clever, ClassLink, LTI 1.3 and SSO Hire and lead our first engineers and set the engineering culture Pitch alongside me to VCs and own technical due diligence TECH STACK (you’ll have the final call) Frontend: React / Next.js, TypeScript, Tailwind, Chromebook‑first Backend: Node.js (NestJS) or Python (FastAPI) AI: AWS Bedrock, RAG on curriculum content, agent workflows, evals Data: PostgreSQL (Aurora), Redis, S3, pgvector or OpenSearch Labs: containers on ECS/EKS, browser‑based sandboxes DevSecOps: GitHub Actions, Terraform, CloudWatch, Cognito

YOUR FIRST 12 MONTHS: MVP TO VC-READY

Days 1–90: Ship the AI Lab MVP and go live with pilot schools Months 4–6: Turn pilots into paid district licenses Months 6–9: Raise pre‑seed/seed with edtech and AI‑focused VCs Months 9–12: Hire the first engineers and launch the LMS layer Month 12+: Scale districts and build toward Series A

WHO YOU ARE

8+ years in software, with at least one product shipped 0‑to‑1 Hands‑on full‑stack depth on AWS; you can write production code in week one Real experience building with LLMs: RAG, agents, evals, cost control Strong security and privacy instincts Able to work equity‑first for 12–18 months Bonus: EdTech/LMS experience, CTF or sandbox platforms, a past VC‑backed startup This isn’t for you if you need a full salary next month or would rather manage than build.

COMPENSATION

10–15% founder equity, based on experience and commitment, 4‑year vest with a 1‑year cliff Base salary: $0 until the first milestone below Partial salary begins at $25K MRR (~$300K ARR) Market‑rate founder salary at $85K MRR (~$1M ARR) or a closed seed round Full salary, benefits and equity refresh after Series A Expected salary range once triggered: $[X]–$[Y] per year

IS THIS YOU?

If five of these are true, let’s talk this week: I’ve shipped a product from an empty repo to paying users I’ve built something with an LLM that real people use I can explain COPPA and FERPA to a principal in two minutes I’d rather own the upside than take a safe salary right now I’m excited, not scared, to sit across from VCs I believe every kid deserves to learn AI by building #J-18808-Ljbffr Skillzy