Requirements
- 10+ years in operations strategy, applied operations research, industrial process engineering, or ops management at a high-volume service business.
- Financial services, fintech, marketplace, or logistics backgrounds are particularly well-aligned.
- A management-science mindset: throughput, utilization, queuing, variance, cycle time, and first-pass yield are your native vocabulary.
- Deep SQL and data modeling skill (BigQuery preferred). You write the queries and design the schemas yourself.
- Hands-on fluency with low-code and AI-assisted application development (AppSheet, Retool, Bolt, Cursor, Claude Code, or similar). You ship working tools yourself and expect the same of your team.
- Workflow and process design experience, including BPMN or equivalent. You think about operations as a flow, not a list of tasks.
- Strong analytics chops across SPC, root cause, capacity modeling, and variance analysis.
- A clear point of view on scaffolding vs. product. You know when to build a quick instrument, when to lobby for a roadmap item, and when to retire a tool you built last quarter. You ship operating reality, not abstract designs.
- Strong cross-functional communicator. You can translate 'throughput is leaking on Tuesday afternoons' into a PRD Engineering will accept.
Team
Team size: small. Structure: high-leverage team
