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 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 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

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 analytics

- Tools Fluency : Kafka, Spark, Flink, Airflow, dbt, Redis, BigQuery, Feast, Terraform

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