Judgment over novelty
Mental models that compound: scoping, tradeoffs, simplicity, and when AI speed helps versus hurts.
For founders & engineering leaders
Turn execution capacity into product leverage.
A focused, live intensive for small teams navigating AI-assisted development—without sacrificing coherence, ownership, or judgment.
Boutique cohorts only. Built for startups that care about craft and velocity—not checkbox training.
What you’re investing in
Not tools training or interview prep. A structured upgrade toward autonomous product engineers—people who ship, reason under uncertainty, communicate clearly, and collaborate with LLMs without letting architecture drift.
Live craft
Small groups, direct critique, real systems thinking—feedback loops recordings cannot replace.
Org-ready outcomes
Less rework, clearer ownership, fewer coordination loops—signals leadership teams actually measure.
Seed → Series A
4–30 engineers
Remote-first
Product-heavy SaaS
Rails / TypeScript-friendly
Capability tracks
Cohorts are curated by what the team needs—not vanity titles. Three lanes, one shared standard: shipped work that holds up.
Product Engineer — Foundations
Independent productivity in modern codebases: comprehension, decomposition, maintainable delivery, confident debugging alongside AI.
Product Engineer — Systems
End-to-end feature stewardship: prioritization, cross-functional clarity, complexity reduction, mentoring—without architectural debt from shortcuts.
Product Engineer — Organizational
Culture and systems that scale judgment: technical strategy, governance, workflow design, and economics of engineering decisions.
Who runs this
Staff-level practitioner—still shipping
Ash Gaikwad
Staff Software Engineer · distributed systems & regulated SaaS
I’ve spent roughly a decade building high-availability platforms where correctness, security, and operational simplicity aren’t optional—think enterprise SaaS under real compliance pressure, not toy demos.
Today at Dialpad, my work sits where product velocity meets governance: AI-assisted experiences that still satisfy enterprise-grade expectations. Earlier at Checkr, I was deep in identity-scale systems and modernization—DDD-led refactors, streaming architectures, and the kind of cross-team clarity that keeps critical paths understandable as the business grows.
This accelerator reflects how I actually lead: sharp architecture judgment, mentorship that shortens onboarding, and writing/documentation treated as part of the product—not an afterthought.
Dialpad
Checkr
Interested for your team?
Share your stage, stack, and what “better leverage” would look like in ninety days. I’ll reply with fit, format, and next steps—no bulk brochure.
Send inquiry