300+ applications. Zero interviews.
Time to get past the resume filters and show who I am.

I'm a former founder who spent 7+ years building and running a consumer marketplace — owning the upper-funnel discovery and conversion experience, running A/B experiments, and helping users navigate complex decisions in real time.

Now I'm working to bring that experience into an industry product role. The hard part has not been recognizing the work in PM job descriptions; it has been translating founder-shaped experience into the narrower language those descriptions and hiring processes expect. As a founder, product strategy, research, growth, operations, and execution rarely arrived as separate responsibilities. I owned the problem end to end. But after 300+ applications for PM roles, that ownership has not consistently translated on paper.

So instead of sending application #301 into the void, I built this: Growth in Practice, a public body of work about consumer growth, experimentation, and AI-native products. The first series is a self-directed, 10-week product sprint that sharpens the exact skills hiring teams are screening for — and produces real, public proof of how I think. No certificate. No cohort. Just 50 days, 94+ lessons and tasks, documented publicly here as I go.

There's also a deliberate pivot here. AI is reshaping what product management looks like — and I've already been living that shift, not just reading about it. This first series doubles down on AI-native PM skills: designing LLM-powered features, building evaluation frameworks, auditing AI UX patterns, and roadmapping for systems that don't behave deterministically. Every week includes an advanced challenge that connects classic PM fundamentals to this AI-native lens.

The goal isn't just to "practice." It's to give the product world a way to see how I work, make the transferability of my founder experience concrete, and find the team that's looking for exactly this combination of marketplace experience and AI-native product thinking.