Product management, engineering, founding, engineering leadership, technical sales
This curriculum is AI-native by design. Every track is built around the premise that AI is not a specialization but the foundation on which all tech careers will be built. Students who graduate in 2028–2029 will enter a workforce where AI fluency is table stakes. The differentiator will be the ability to build with AI, lead AI-powered teams, and create value at the intersection of AI and human judgment.
Year 1: Explore & Build Foundations
- ●AI fluency foundation and first projects
- ●Track exploration (PM, SWE, Entrepreneurship, EM, Technical Sales)
- ●First mentor sessions with CTOs, CPOs, and founders
- ●GitHub/portfolio infrastructure setup
- ●Summer experience strategy for tech
Year 2: Build & Ship
- ●Track-specific deep dive and portfolio building
- ●Marquee internship campaign (FAANG+, AI-native, growth-stage)
- ●Deployed AI-powered project(s) in portfolio
- ●Advanced technical skills for track
- ●Personal brand in tech community
Year 3: Convert & Launch
- ●Full-time campaign with portfolio as primary asset
- ●Return offer conversion or continued recruiting
- ●Portfolio completion with 3+ deployed projects
- ●Senior Year Launch Plan
- ●Career launch in target tech sector
Product Management (AI-Era PM)
For students who are analytically strong, deeply empathetic with users, and obsessed with how products work. Technical background helpful but not required.
Software Engineering (AI-Augmented SWE)
For students who love building things, think in systems, and enjoy algorithmic problem-solving. The future is architects of intelligent systems. Students who want to lead engineering teams add the Engineering Leadership layer on top of this track.
Entrepreneurship (AI-Native Founder)
No ladder: identify problem, validate, build MVP, find users. Replaces the internship campaign with a build campaign. Can start in college.
Technical Sales & Go-To-Market
Tech's most under-rated on-ramp: continuous hiring, fast-scaling compensation, and the most personality-gated, least credential-gated door in the industry. For the persuasive, resilient, relationship-strong student; drive and communication are the entry requirement.
These careers are built at the large platform companies, at the AI labs, and across the growth-stage companies scaling behind them, in product, engineering, founding teams, and technical go-to-market. What gets evaluated is what a student has actually shipped.
In tech, your portfolio IS your resume. Unlike finance or entertainment, employers evaluate what you've built. A 3-year program provides the runway to build real, deployed, AI-powered projects.
The Tech Industry Truth
Chief Product Officer
AI Company
VP Engineering
Growth-Stage Startup
Founder & CEO
AI-Native Company