AI Product Growth Owner İş Tanımı
TL;DR You will own an app. End-to-end. P included. Product decisions are yours. You drive marketing and creative: setting direction, briefing campaigns, pushing for sharper iterations. If the app grows, it is because of your judgment, speed, and ownership. If it does not, that is also on you. This is not a traditional PM role. This is a mini-GM role inside a mobile app studio that ships fast and runs on AI. AI is not a feature - it’s how our company runs . You are accountable for MRR, LTV, ARPDAU, and ROAS. Not "informed about" them. Accountable for them. You will improve performance across the full journey: onboarding, paywalls, pricing, retention, creative angles, revenue growth, and experiments. You will also track trends across AI apps, consumer products, social platforms, and ad creatives, turn them into opportunities, and push marketing and creative toward faster, stronger iterations. About Univenn At Univenn, we operate as an AI-native startup studio building and scaling mobile apps used by millions of people globally. You will be part of our AI App Studio, where product, growth, creative, engineering, and data work closely together. We move fast, test constantly, and care about building products that users love, use, and pay for. We kept what helps, removed what slows us down, and focused the company around ownership, speed, and shipping. What You'll Own Revenue. MRR, LTV, ARPDAU, ROAS. You walk into the room with the numbers. The product roadmap. You decide what ships next and why. You write the PRDs. You make the trade-offs. Marketing and creative direction. You work side-by-side with UA, performance marketing, and creative: setting the angles, briefing the campaigns, calling out what is not working, and pushing the team toward sharper iterations. You own the funnel from impression to subscription. The growth loop. Paywall A/B tests, onboarding optimization, retention experiments, web-to-app flows, win-back campaigns, pricing experiments. You design them, run them, read the results, and ship the next one. Trend radar. AI apps, consumer products, social platforms, ad creatives. You track them and turn them into opportunities the team can act on this week, not next quarter. Cross-functional execution. Engineering and Design have their own leads, but you set the priority. You make sure the right thing ships at the right time. You will be expected to identify where agents, automations, and intelligent workflows can improve the product, operations, growth, or internal execution, and take ownership of making them happen. You do not need to be a full-time AI engineer, but you should be hands-on enough to design the workflow, define the expected behavior, write clear specs, test the output, and iterate until it works. For deeper technical implementation, you will be supported by the engineering team. But the ownership stays with you: you define the problem, shape the solution, validate the result, and make sure the AI workflow actually creates impact. What We're Looking For AI-native working mindset. You do not use AI as a side tool. It is a core part of how you think, research, analyze, decide, and execute. Modern AI tools, coding agents, creative AI tools, and research workflows are already part of your daily operating system. You do not ask "should we use AI for this?" because you already did. Consumer subscription app experience. You have shipped B2C apps such as calorie trackers, fitness, photo/AI tools, language, mental health, productivity, utilities, or similar categories, and you know what makes them grow. Demonstrable revenue impact. You can walk us through specific tests, specific wins, and specific numbers from an app you have owned. Funnel and paywall fluency. Muscle memory, not theory. You are hands-on with Amplitude, Adjust/AppsFlyer, RevenueCat, Firebase, GA, or similar tools. SQL is a plus. Real experience directing marketing and creative work. Not just collaborating. Driving the angles, the briefs, and the iteration loop. Strong product thinking. You connect user needs to product experience, marketing angles, and revenue metrics. Curiosity about agentic workflows. You see autonomous agents and self-running processes as leverage to be captured, not buzzwords. Bias for action. You ship, iterate, improve. Ambiguity does not slow you down. English fluency. We work and communicate in English. Nice to Have Built or directed an app that crossed $1M ARR or 1M+ MAU Background in user acquisition, performance marketing, or growth before product Experience with Superwall, Adapty, or similar paywall infrastructure Experience with web-to-app funnels, ASO, pricing experiments, win-back flows, or subscription optimization Ability to understand AI workflows well enough to brief engineers, evaluate outputs, and identify where agents or automations can create leverage This Role Is Not For You If You need a roadmap handed to you You prefer "facilitating alignment" over making decisions You want to manage process more than outcomes You think marketing is someone else's job You see AI as a productivity add-on rather than a core operating layer What You Get Full ownership of an app with real revenue and real users from day one A small, fast team where decisions happen in hours, not weeks Direct line to the founder An Agentic AI Engineer peer whose job is literally to remove friction from yours Compensation calibrated to seniority, with revenue-linked upside for the right person The tools, budget, and autonomy to actually ship İzmir HQ, hybrid& remote-friendly for the right candidate
AI Product Growth Owner İlanındaki ATS Anahtar Kelimeleri
Bu ilanın metninde ATS beceri sözlüğümüzle eşleşen 2 anahtar kelime var. En sık geçenler: A/B test (1 kez), SQL (1 kez).
Veri, analitik ve yapay zekâ
- A/B test · ilanda 1 kez · benzer ilanlarda %3
- SQL · ilanda 1 kez · benzer ilanlarda %14
CV'nde karşılığı: A/B test ve SQL ile yaptığın sorguyu, panoyu ya da raporu sonucuyla anlat.
Yabancı dil
İlanda belirtilen dil beklentisi: İngilizce. Seviyeni ölçülebilir yaz (ör. B2).
Terimler ilan metninden kural tabanlı sözlükle çıkarıldı; sözlük dışı beceriler listelenmez.
Takibe ekle ve CV'ni bu ilana göre hazırlaBenzer İlanlarda Beceri ve Deneyim Dağılımı
Aynı başlıkta 10'dan az ilan olduğu için karşılaştırma "Yapay zekâ ve makine öğrenmesi" rol ailesindeki 367 ilanla (bu ilan dahil) yapıldı; bu ilanlar 17 Nisan ile 19 Ekim 2026 arasında yayımlandı.
| Anahtar kelime | İlan | Pay | Bu ilanda |
|---|---|---|---|
| PythonProgramlama dilleri, çatılar ve platformlar | 232 | %63 | Geçmiyor |
| LLMVeri, analitik ve yapay zekâ | 181 | %49 | Geçmiyor |
| Machine learningVeri, analitik ve yapay zekâ | 137 | %37 | Geçmiyor |
| RAGVeri, analitik ve yapay zekâ | 128 | %35 | Geçmiyor |
| Generative AIVeri, analitik ve yapay zekâ | 109 | %30 | Geçmiyor |
| CI/CDBulut, DevOps, altyapı ve güvenlik | 100 | %27 | Geçmiyor |
| AzureBulut, DevOps, altyapı ve güvenlik | 91 | %25 | Geçmiyor |
| AWSBulut, DevOps, altyapı ve güvenlik | 87 | %24 | Geçmiyor |
Aranan asgari deneyim
Deneyim yılı belirten 201 benzer ilanda ortanca beklenti 4 yıl.
| Asgari deneyim | İlan | Pay |
|---|---|---|
| 0-1 yıl | 16 | %8 |
| 2-3 yıl | 84 | %42 |
| 4-5 yıl | 72 | %36 |
| 6 yıl ve üzeri | 29 | %14 |
Benzer ilanların 153 tanesi (%42) İngilizce bilgisi istiyor.
Kaynak: cvanaliz'deki aktif ilanlar; bir terimin geçmesi zorunlu olduğu anlamına gelmez.
Univenn Hakkında
Univenn faaliyet gösteren bir işverendir. Şirketin diğer ilanlarını inceleyerek ekipler ve aranan yetkinlikler hakkında daha geniş bir görünüm elde edebilirsin.
Univenn iş ilanlarını gör