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shoppin'
shoppin' cover picture
Founded :
2024
Type :
Product
Size :
0-20
Stage :
Raised funding

About

Shoppin' - if Pinterest and Google had an AI-powered baby 🍓


Here’s why:

shoppin' isn't just another AI powered tech platform.

we’re crafting a groundbreaking fashion search and shopping platform, one that outshines Google’s search capabilities, offers more intuitive recommendations than Pinterest, and engages users more deeply than Instagram’s feeds.


Our vision is bold — we’re not just building a foundational ai for fashion; we're aiming for the stars with a full-fledged fashion AGI.


Achieving such heights demands a remarkable team. Over the past month, our office has buzzed with energy and ideas, pushing us closer to crafting a user experience that feels as natural as it is innovative.


🚀 We have raised a funding of $1M pre-seed and will be raising another round very soon. Our aim is built the best founding team out there and we are scaling up our hiring efforts rapidly.


🍓Apply now to become a part of our creative force dedicated to shaping the future of fashion.

Read more

Connect with the team

Profile picture
Utsav Soi
Profile picture
Shlok Bhartiya

Company social profiles

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Jobs at shoppin'

shoppin'
at shoppin'
2 recruiters
Nikita Sinha
Posted by Nikita Sinha
Gurugram
3.5 - 6 yrs
Upto ₹45L / yr (Varies
)
skill iconPython
API
Microservices
skill iconGo Programming (Golang)

Why this role exists:

You’ll own our data pipelines—ingesting, cleaning, and serving fashion/e-commerce data at scale—so the team (and founder) can focus on building new capabilities. If you love end-to-end ownership and turning messy web data into reliable, queryable systems, this role is your playground.


What you’ll do:

  • Ingestion at scale: Design, build, and operate resilient crawlers/scrapers with rotation, rate-limits, backoff, and change-tolerance.
  • Robust pipelines: Normalization, deduping, schema evolution, enrichment, and SLAs for freshness & completeness.
  • Data stores & caching: Model products/variants/attributes in PostgreSQL, manage Redis for caching/queues, and keep costs predictable.
  • Observability & quality: Instrument with metrics/tracing, add data QA checks, alerts, and auto-healing where sensible.
  • Performance & reliability: Optimize throughput, memory, I/O, and infra spend; design for retries, idempotency, and correct delivery semantics.
  • Collaboration: Partner with search/ML/product teams; write crisp docs; raise the bar in reviews; mentor where helpful.

Must-haves:

  • Super high ownership: End-to-end closure on tasks you lead.
  • 3.5+ years building backend systems, preferably in Python with production ownership.
  • Strong data pipeline experience (batch/stream): schema design, deduplication, and backfills.
  • Hands-on with PostgreSQL/MySQL and Redis (caching, rate-limits, queues).
  • Real-world web scraping: requests/httpx/aiohttp, BeautifulSoup/lxml/Scrapy/Playwright, anti-bot tactics, respectful crawling.
  • Concurrency & async (asyncio, multiprocessing), robust error handling, idempotent jobs.
  • Solid testing habits and bias for simple, maintainable code.

Nice-to-haves:

  • Message queues/streams: Kafka, RabbitMQ, SQS.
  • Workflow schedulers: Airflow, Prefect.
  • GraphQL; search tech (Elasticsearch/OpenSearch).
  • Cost/perf tuning, on-call pragmatism, or prior startup/founding team experience.

How we work:

  • High ownership, fast shipping, clear interfaces, strong documentation.
  • We optimize for time to go live—startups that succeed outpace those that don’t.
  • Competitive salary + meaningful ESOPs.
  • (Optional) Work from our hacker-house on MG Road, Gurgaon.


Hiring process (fast closures)

  1. 30-min technical deep-dive
  2. Take-home (optional)
  3. Founder conversation & references
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