

shoppin'
https://shoppin.app/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.
Connect with the team
Jobs at shoppin'


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)
- 30-min technical deep-dive
- Take-home (optional)
- Founder conversation & references

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