
Replenit is the AI decision and action engine behind your retention, acting like an individual AI CRM manager for every single customer you have. Most retailers still rely on static flows and broad…

Replenit is the AI decision and action engine behind your retention, acting like an individual AI CRM manager for every single customer you have. Most retailers still rely on static flows and broad…
What they do: AI decision-and-action engine for individualized retail/e‑commerce lifecycle (replenishment, cross‑sell, upsell, churn prevention, promotions)
Tech approach: Runs individualized autonomous journeys on first‑party data and triggers actions via existing marketing and commerce tools
Headcount: 23 employees (reported)
Funding: Pre‑Seed round reported (~$2.5M) with multiple investors and co‑leads
Alp Karacaev; Caner Demir; Cenk Karacaev; Ilyas Kurklu; Omer Ozden
Retail and e‑commerce retention and lifecycle automation
Technology, Information and Internet
$2.5M (reported)
Crunchbase/Dealroom reporting and company about page list multiple participating VCs and angels (approximately 10 investors reported).
“Backed by multiple early‑stage venture funds and angel investors, including Movens Capital, Vastpoint, Logo Ventures, DigitalOcean Ventures, Finberg, Caucasus Ventures and named angels”
About the Role
We are looking for a Machine Learning Engineer to join our AI team and help build and scale production-grade machine learning systems.
You will work on real-world ML problems involving large-scale behavioral and transactional data, contributing to models and pipelines that drive automated decision-making.
This role is highly hands-on and focuses on turning data into reliable AI systems — from engineering and experimentation to production pipelines.
You will work closely with the in a small, highly technical team.
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