Z

Zipline

Builds and runs autonomous drone delivery

Head of Weather Systems

Data ScienceUpdated on Nov 3
Full-timeSouth San Francisco, CA, USA$185k - $255k

About the Job

Requirements

  • Minimum 6 years of industry experience shipping mission-critical decision systems, with demonstrable ownership of automated operational decision logic in production at scale.
  • Deep fluency in scientific Python, including Pandas, NumPy, Xarray, and NetCDF; experience with time-series or streaming systems such as Kafka; and comfort working with production stacks including Kubernetes, AWS, and Rust or C++ codebases.
  • Ability to prototype and ship models into production pipelines.
  • Strong working knowledge of meteorology, aviation weather, or related geospatial environmental science, and ability to explain physics, uncertainty, and operational implications to non-experts and regulators.
  • Experience defining quantitative metrics for false-positive/negative tradeoffs, designing validation experiments using simulation and field tests, and documenting failure modes and rollback criteria.
  • History working with 24/7 operational systems, incident response, and SLAs; comfort making and owning high-consequence trade-offs under uncertainty.
  • Experience leading or directly influencing small cross-disciplinary teams and driving measurable improvements in uptime, throughput, or reliability within 6–12 months.
  • Must be able to work onsite in South San Francisco full-time and travel internationally.
  • Must be decisive under uncertainty, rigorous about validation and failure modes, and able to translate scientific complexity into deterministic operational rules and measurable outcomes.

Responsibilities

  • Own end-to-end development and operational performance of the automated weather intelligence and risk system used for mission go/no-go decisions across operational regions, and serve as the single technical and product owner for system behavior and reliability.
  • Translate meteorological uncertainty into concrete, testable operational limits and encode them into automated decision logic used in daily operations.
  • Set quantitative success targets, including uptime improvement, false downtime rate, missed-risk rate, and delivery throughput impact, and deliver measurable improvements within the first 12 months compared with the first year of commercial operations.
  • Lead validation using simulation, historical log replay, flight test, and live operations; design experiments and acceptance criteria for new models, sensors, and rules before production rollout.
  • Prioritize trade-offs across safety margin, operational availability, sensing cost, model complexity, and deployment speed; document failure modes and rollback criteria for all changes.
  • Own cross-functional execution with Flight Operations, Safety, Flight Sciences, Simulation, Field Sites, and Engineering; define SLAs, incident roles, and escalation paths for weather-driven incidents.
  • Drive the roadmap for sensing, data ingestion, model tooling, and runtime decision services; sponsor infrastructure such as streaming, simulation, and monitoring to meet operational SLAs.
  • Hire, mentor, and manage a small technical team of 3–5 engineers/scientists, or partner with an existing engineering manager while retaining product and technical ownership of the weather system.
  • Operate an on-call/incident rotation for weather-system outages; run post-incident reviews, own corrective action plans, and feed learnings back into validation and deployment processes.

About the Company

Zipline

Builds and runs autonomous drone delivery

Zipline builds and operates autonomous drone delivery networks for retailers, restaurants and healthcare systems that need to move products without road traffic. Its electric aircraft carry food, prescriptions and other supplies from partner sites or distribution hubs to customers and health facilities. The company combines aircraft, charging equipment and delivery software with flight operations, so partners buy a logistics service rather than manage their own drones. Merchants use its ordering and tracking tools to reach customers, while governments and health systems contract for medical supply delivery. Zipline was founded in 2014 and has its headquarters in South San Francisco, California.

Company size
1,001-5,000
Company stage
Series I
Total funding
$3.1B
Headquarters
South San Francisco, CA
Founded
2014

Recently Posted Jobs

Explore more opportunities at Zipline

See more jobs