Beksultan Mambetov
I built the Product Engineer model at POWR before I ever read your handbook — engineers owning products end-to-end, PMs doing discovery and data instead of writing tickets. When I found "Product Management is broken. Engineers can fix it." it described exactly what I'd been building for 3 years.
I'm a founder (solo-built ATLAS, 1,000+ WAU), I use PostHog on all my projects (including the MCP), and I want to do real product discovery work at a company that actually believes engineers should lead product.
Summary
⌃Founder and builder who ships production code and runs product growth. Founded ATLAS (1,000+ WAU mobile SaaS, solo-built with React Native/Firebase) and co-founded Wellness Hub (AI-powered diagnostic platform in production). Simultaneously spent 8+ years doing product growth work — running growth reviews, building experimentation engines, diving into data with SQL, and coaching engineers to think like product owners.
At POWR, I introduced the Product Engineer model — empowering engineers with end-to-end product ownership instead of shielding them from users. At Fjor, I built a growth experimentation engine that achieved 20% success rate (vs ~10% industry average) and scaled the business from $100K to $1M monthly marketing budget through data-driven discovery.
Founded & Built
⌃- Personally built the entire mobile app: React Native/Expo (frontend), Firebase (backend, auth, cloud functions)
- Led user research, feedback collection, and product iteration from day one
- Scaling via App Store organic traffic and word-of-mouth
- Built AI-powered development workflow automating feature development, documentation updates, and customer communications
- Built first working version in one week: React/Vite (frontend), Supabase (database/auth), NestJS (backend), Gemini (AI integration)
- AI-driven diagnostic quiz analyzing user responses for personalized health recommendations
Product Growth Experience
⌃- Run growth reviews across products — tracking activation, upgrades, retention, and revenue metrics
- Built real-time data dashboard (Google Data Studio + Postgres) giving teams visibility into product metrics and impact
- Established product quality measurement framework linking user satisfaction (emoji feedback, Hotjar) to retention and business outcomes
- Drove activation research identifying aha moments, upgrade triggers, and foundational product metrics
- Introduced the Product Engineer model — engineers own products end-to-end instead of waiting for PM specs. Created "Product School for Engineers" training program with architectural guardrails to maintain quality
- Built experimentation culture with OKRs, A/B testing platform, and shared learnings processes
- Equipped teams with data tools (SQL cheatsheets, Data Studio, Equals) and qualitative research tools (Hotjar, feedback integration)
- Achieved 2x improvements to activation, upgrades, and retention in a mature product
- Built and ran data-driven experimentation framework that became company standard
- Edit on Click: New interaction method based on UX testing — +15% activation rate
- Pricing Page Redesign: Data-driven restructure emphasizing yearly plans — +5% conversion to paid, +10% shift to yearly
- Improved funnel effectiveness ~3x, scaling marketing budget from $100K to $1M/month
- Achieved 20% experiment success rate on mature funnel (industry average ~10%)
- Built custom CLI tool (Node.js) integrating Notion + Amplitude to automate experiment analysis — metrics extraction, confidence levels, automated reporting
- PDF Upsell Experiment: Used ChatGPT to generate MVP content in one week at zero cost when team was stuck. Lifted ARPPU by 15%, became year's top experiment
- Diet Feedback Analysis: Built system scraping YouTube, Facebook, Reddit comments to extract product insights and value propositions
- Ran churn analysis, cancellation flow optimization, and retention experiments