We're looking for a Tech Lead to own a delivery portfolio within a Manufacturing Engineering group that builds the data products a production plant runs on. This is a hands-on leadership role: you'll lead a small, senior, multi-disciplinary team shipping and operating manufacturing data products — real-time batch progression monitoring, process anomaly detection, and yield/throughput analytics — in a validated production setting. You'll apply AI with sound, regulated-context judgment, and you'll carry direct accountability for what ships, when it ships, and how it performs once it's live.

What You'll Do
Own delivery of a portfolio of manufacturing data products from concept through validated production use.
Lead a small, senior, multi-disciplinary team of data engineers, warehouse engineers, and full-stack developers.
Unblock the team on hard technical problems — pipeline failures, warehouse performance and cost, data quality, plant systems integration, and production incidents.
Supervise progression from DEV to QA to PROD, ensuring validation, change control, traceability,



and documentation are properly met.
Partner with data science to frame solvable problems, provide well-understood data and environments, and assess whether models are fit for intended production use.
Evaluate and introduce AI-assisted approaches to development, testing, documentation, and monitoring — with clear judgment on where regulated-context limitations apply.
Work closely with Product Owners and Product Architects to shape scope and sequencing, and communicate progress, risk, and trade-offs clearly.
Produce architecture documentation, decision records, and operational runbooks that support long-term delivery and operations.

What You Bring
Degree in engineering, computer science, or a related technical discipline, or equivalent demonstrated capability.
Three or more years leading technical delivery for a software or data team.
Advanced SQL with strong data modeling judgment and perfor

📌 Tech Lead (India)
🏢 Toptal
📍 India