Engineering Manager, Weather Risk Systems

5+ years of industry experience, with proven people leadership or clear readiness to lead and develop a small high-performing team of 3-5 direct reports.

Deep fluency in scientific Python and common data-analysis tools, including Pandas, NumPy, SciPy, Matplotlib, Xarray, and NetCDF.

Experience with geospatial and meteorological datasets, formats, and tooling.

Strong ability to process large datasets efficiently across distributed systems; experience with Kafka or other streaming systems is highly valuable.

Judgment about which analytical or modeling tool to use, when not to overcomplicate the solution, and how to validate whether the answer is operationally useful.

Ability to make large, uncertain datasets visually clear and decision-ready for technical, operational, and executive audiences.

You will own one of the systems that determines whether Zipline can safely and reliably fly: the automated weather intelligence and risk system that makes real-time operational go/no-go decisions for missions.

You will be accountable for turning messy, uncertain atmospheric data into clear operational limits, scalable automation, and business-critical decisions that protect safety, reliability, and customer trust.

Building and improving automated weather monitoring systems that make real-time mission go/no-go decisions and forecast conditions that require pausing deliveries.

Defining the flyable weather envelope Zipline needs to hit business goals without compromising safety or automated risk-system integrity.

Driving validation strategy across simulation, historical data, real-world operations, and high-fidelity flight simulation.

Quantifying how weather-system decisions affect uptime, customer experience, fulfillment reliability, and operational throughput.