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Build the data infrastructure behind global e-commerce
We power data pipelines for 200+ brands across pricing intelligence, AI training, and market research. Join a small, remote-first team that ships fast, owns work end-to-end, and works with some of the most interesting datasets in retail.
We work on data problems that 99% of engineers never touch — anti-bot, distributed crawling at scale, retailer-specific parsing. The work is technically rich and the impact is immediate — brands depend on our data daily.
What it's like building data infrastructure here.
Hard technical problems
Anti-bot systems, distributed crawling, retailer-specific parsing, real-time data pipelines, multi-region deployments. The stack is non-trivial.
Remote-first, global team
Team across India, UAE, UK, US. Async-first culture. Quarterly meetups. No commute. Work when you focus best.
Ownership without bureaucracy
You own outcomes, not just tickets. Small teams, fast decisions. Ship to production every day. No design-by-committee.
Growing with the business
Profitable, growing 80%+ YoY. We invest in tools, training, conferences. Pay above market for senior roles.
Direct customer impact
Talk to brand managers, AI teams, data scientists. See your data power their decisions. No 12-layer hierarchy.
Sustainable pace
We don't do startup-burnout culture. 40-50 hour weeks. Real PTO that people take. Family-friendly hours.
We're hiring across engineering, data, and customer success.
Senior Python Engineer — Data Pipelines
Build the data pipelines that power 200+ customer projects. Distributed scraping at scale, anti-bot systems, retailer-specific extractors. Python, AWS, Kafka, Postgres.
Apply now →Backend Engineer — API Platform
Own our Web Scraping API platform. Build new endpoints, scale to 100M+ requests/day, optimize latency & cost. FastAPI, Python, AWS, Redis, observability stack.
Apply now →Data Engineer — Dataset Production
Own the production pipeline for our 100+ ready datasets. Schema design, QA automation, data quality. Python, dbt, BigQuery, Snowflake, Airflow.
Apply now →Data Quality Analyst
Own data quality across 500+ active scrapers. Detect anomalies, write QA tests, work with engineering on root cause analysis. SQL, Python, statistical methods.
Apply now →Customer Success Manager — Enterprise
Own enterprise accounts ($100K+ ARR). Drive expansion, manage delivery, build relationships. Background in data, SaaS, or consulting. Customer-obsessed.
Apply now →Sales Development Representative
Generate qualified opportunities for our enterprise sales team. Outbound to brand & data teams. ICP research, multi-channel outreach. Strong written communication.
Apply now →Don't see your role? Send us your story anyway.
We're always interested in exceptional people. Tell us what you do, why you'd be a fit, and we'll have a real conversation. No template applications, no ATS black hole.
Reach out →What we offer beyond salary.
Competitive pay
Above market for India + competitive globally. Annual reviews. Equity for senior roles.
30 days PTO + holidays
4 weeks annual leave + local holidays. Real PTO that you take, encouraged by the team.
Health + family coverage
Comprehensive health insurance covering you + family. Mental wellness support included.
Top-tier equipment
MacBook Pro or equivalent. External monitor. Home office stipend. Whatever you need.
Learning budget
$1,500/year for courses, books, conferences. We pay you to keep learning.
Annual offsite
Whole team meets twice a year for an offsite. Past locations: Goa, Bali, Lisbon.
Remote-first forever
Work from anywhere. Coworking budget if you prefer office. Flexible hours within timezone overlap.
Internal mobility
Move between teams. Try data engineering, then customer success. We support career exploration.
What to expect when you apply.
Apply
Send us your resume or LinkedIn. No cover letter required. Tell us why you're interested.
Intro call (30 min)
Talk to the hiring manager. Real conversation about the role, the work, and your background.
Take-home or live exercise
A short take-home (2-3 hours) or a live problem-solving session, depending on the role.
Team meet & offer
Meet your potential teammates and the founders. We make decisions within 48 hours.