We are a venture-backed, stealth-stage technology company building
next-generation matchmaking and relationship platforms
. Our mission is to reimagine how people connect, using
AI, community, and content
as our building blocks.
We’re not building another dating app — we’re creating an experience where users feel:
*“This app gets me.”*
At the core of our product is a
real-time, ML recommendation engine
— similar to Spotify for song moods or TikTok for content discovery.
We are well-funded and backed by marquee VCs in India and the US
Location:
Gurgaon
Function:
Data Platform
Type:
Full-time
The Role
We are looking for a
Data Engineer
to help design, build, and scale the
data platform and infrastructure
that powers our core recommendation systems and personalisation engines.
You’ll be a founding data engineer helping us lay the pipelines and infrastructure that feed our recommendation systems, onboarding flows, engagement metrics, dashboards, and ML models.
You'll work hand-in-hand with our ML team to build data adapters and interfaces for model training, serving, and experimentation.
Our Philosophy
We believe:
- Great data + Positive models = Great recommendations
- Good data + Great models = Average recommendations
That’s why we’re investing in data infrastructure from our inception and foundation.
What You'll Do
- Architect the
entire data platform from scratch
— including event capture, batch and streaming pipelines, and feature engineering
- Build and scale
ETL
from raw app events to ML-ready features
- Build
real-time and batch pipelines
for user actions and events
- Contribute to the
feature store
, embedding pipelines, data validation, and freshness monitoring systems
- Design data layers for use in
A/B tests
,
product metrics
, and
ML training
- Partner with ML engineers to deliver
data adapters
for model inputs, embedding generation, and training loops
- Help evolve the core
event schema an
📌 Data Engineer (Gurugram)
🏢 Meant To Be
📍 Gurugram
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