GreyOrange
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Bengaluru · On-site · 5-8 Yrs · Sep 25
Enterprise Software & Network Solutions · 501 to 1000 Employees · Atlanta, US
GreyOrange is a global leader in AI-driven robotic automation software and hardware, transforming distribution and fulfillment centers worldwide. Our solutions increase productivity, empower growth and scale, mitigate labor challenges, reduce risk and time to market, and create better experiences for customers and employees. Founded in 2012, GreyOrange is headquartered in Atlanta, Georgia, with offices and partners across the Americas, Europe and Asia. Our Solutions The GreyMatter Multiagent Orchestration Platform (MAOP) provides vendor-agnostic fulfillment orchestration to continuously optimize performance in real time: the right order, with the right bot and agent, taking the right path and action. Currently operating more than 70 fulfillment sites across the globe (with deployments of 700+ robots at a single site), GreyMatter enables customers to decrease their fulfillment Cost Per Unit by 50%, reduce worker onboarding time by 90% and optimize peak season performance. In retail stores, our gStore end-to-end store execution and retail management solution supports omnichannel fulfillment, real-time replenishment, intelligent workforce tasking and more. Using real-time overhead RFID technology, the platform increases inventory accuracy up to 99%, doubles staff productivity, and enables an engaging, seamless in-store experience.
Hiring: Engineering
What employees say
+ Good place, a lot to learn
− Work life balance is a problem sometime
More reviews on the company profile.
Interview experience · Software Development Engineer In Test (SDET) II
It was good and consists of multiple rounds, most of them included coding questions and API questions, focus was more on how to debug API errors, there will be questions related to AI and how to use it in daily QA workfl
Average difficulty · Gurgaon, Haryana · 115 reports
More interview insightsJob description
Overview
Own the data infrastructure that turns Foundry's operational data — scenarios, runs, BOMs, customer usage — into something Post-Sales, Customer Success, and leadership can actually query and trust.
Responsibilities
- Design and build the data pipeline that moves operational data out of Foundry's tenant-scoped Postgres schemas into an analytics-friendly warehouse, respecting tenant isolation throughout.
- Build the metrics and reporting layer Post-Sales and Customer Success teams use to track customer health, usage, and adoption.
- Own data quality: schema-drift detection, pipeline monitoring, and making sure a broken upstream change doesn't silently corrupt downstream reports.
- Partner with Foundry Core on billing and metering data — usage-based metrics need to be accurate enough to bill against.
- Establish data modeling conventions for a still-young data platform.
Qualifications
- 5+ years of data engineering experience, including building ELT/ETL pipelines from an operational database into a warehouse.
- Strong SQL and experience with a modern data stack (dbt, Airflow, Fivetran, or equivalent — exact tools flexible).
- Comfort partnering directly with business stakeholders to define what "the right metric" actually means.
- Familiarity with warehouse automation or B2B SaaS customer-success metrics.
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Job application FAQ
Last updated 26 September 2026
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- This is a lead Staff Data Engineer— Platform & Data role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.