🧭 About Us –
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 discovery.
We are well funded and backed by marquee VCs in India and US
Location: Gurgaon
Function: Data Engineering and ML Infrastructure
Type: Full-time 🎯 The Role
We are looking for a Founding Data Platform Architect to design, build, and scale the data
platform and infrastructure that powers our core recommendation systems and personalization
engines. This is a 0→10 phase role — your architectural decisions and early hires will shape how our product
thinks, recommends, and adapts.
You'll also play a player-coach role: contributing directly to code and architecture while hiring and
leading a small team of data engineers as we grow. 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 + Good models = Great recommendations
● Good data + Great models = Average recommendationsThat’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 the foundational event streams that capture swipes, likes, video views, and profile
interactions
● Design and implement a feature store and embedding pipeline to power matchmaking,
feed ranking, and personalization
● Collaborate with ML engineers to support data adapters, model input schemas, and
real-time scoring interfaces
● Define standards for data quality, governance, freshness, observability, and security
across teams
● Own the strategy for tools, schemas, governance, scalability, and future-proofing as models
evolve
● Recruit, mentor, and lead a small team of data engineers and analysts over time 💡 Ideal Profile
You’re a systems thinker who starts with data and designs for scale. You’ve likely been at
early-stage or high-scale consumer platforms — social, gaming, transactions, or media.
Trait What We’re Looking For
Experience 6–12 years building scalable data systems in fast-moving environments
Industry Fit Experience supporting RecSys, ML, or content feeds in social or consumer
platforms
Architecture
Skills
Designed systems spanning batch + streaming, raw → clean → features →
serving
Leadership Ability to mentor junior engineers or build small teams from scratch
ML Awareness Worked closely with ML teams; understands feature engineering,
embedding stores, retrieval systems and typical models
Product Empathy Understands how data impacts user experience, not just analyticsTools Fluency Kafka, Spark, Flink, Airflow, dbt, Redis, BigQuery, Feast, Terraform, Pick your
best tool for the job 🌟 Nice to Haves
● Experience with graph modeling for users/interactions
● Familiarity with privacy-aware infrastructure (GDPR, PII, consent)
● Exposure to A/B testing platforms or online experimentation infrastructure
🚀 Why Join Us Now
● You’ll be the first data architect at a company where recommendation is the product
● Your platform will directly impact how people form meaningful relationships
● You’ll shape our data + ML infra, hire the next engineers, and scale with us to millions of
users
● Significant ESOPs and wealth creation with market competitive cash compensation
