workable
Product Manager
Leucine
Bengaluru, IND
Full-time
Mid · 3+ years experience
Onsite
Discovered 3 weeks ago
SQLBigQueryClaudeCursorReplitv0
Free
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SQLBigQueryClaude
Role Overview
You will deploy and run our platform inside pharma customers with your own hands, and be the product manager for the platform based on what that teaches you. You’ll model a customer’s QC and manufacturing data, build the pipelines, ontology, and apps (directing our AI agents to do the heavy lifting — and verifying everything they produce), and get real users live. Then you’ll turn the friction and gaps you hit in the field into the product roadmap, working directly with the CPO.
This is the shortest path from a customer’s real problem to a shipped platform improvement. It suits a technical builder who is genuinely comfortable in SQL and data models, skeptical and sharp when reviewing AI output, and obsessed with getting the data right.
Key Skills for This Role
SQLBigQueryClaudeCursorReplitv0
Full Job Posting
About the Role
You will deploy and run our platform inside pharma customers with your own hands, and be the product manager for the platform based on what that teaches you. You’ll model a customer’s QC and manufacturing data, build the pipelines, ontology, and apps (directing our AI agents to do the heavy lifting — and verifying everything they produce), and get real users live. Then you’ll turn the friction and gaps you hit in the field into the product roadmap, working directly with the CPO.
This is the shortest path from a customer’s real problem to a shipped platform improvement. It suits a technical builder who is genuinely comfortable in SQL and data models, skeptical and sharp when reviewing AI output, and obsessed with getting the data right.
What You’ll Do
Deploy the platform at customers (hands-on)
- Model the customer’s data end-to-end: build source→gold data pipelines (transforms, joins, incremental loads, dedup, grain, schema drift) and design the business ontology — entities (batch records, deviations, QC results, instruments, sampling, etc.), their relationships, and how they map to the customer’s real source columns.
- Write and debug SQL against the data warehouse; validate correctness with dry-runs, row counts, and spec checks before anything reaches a user.
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