Expert Meteorologist

Tomorrow.io

20d•$65,000 - $80,000

About The Position

Tomorrow.io is seeking an experienced operational meteorologist to help customers make decisions in weather-sensitive environments. The role combines forecasting judgment, clear communication, effective use of Tomorrow.io’s technology, and practical use of AI and automation. You will support customers across industries and climate zones, especially when conditions change quickly and forecast consequences are significant. You will also improve operational workflows by identifying repetitive tasks, testing tools, and establishing practices the team can use consistently, while remaining accountable for the quality of meteorological guidance. The role involves monitoring conditions and producing forecasts and risk assessments; interpreting model differences and uncertainty; explaining weather impacts through reports, briefings, and consultation; and helping customers incorporate Tomorrow.io products into their operations. You will use AI and automation to improve analysis and updates, while checking automated output against meteorological evidence. You will also review forecast performance, collaborate with Meteorology, Science, Product, and Engineering teams, and contribute to shared guidance, handoffs, and workflows. The position requires at least five years of operational meteorology experience, strong forecasting and radar skills, and the ability to communicate technical weather information to nontechnical audiences. The role requires availability for a variety of shifts, including weekends and holidays. The anticipated salary range is $65,000–$80,000, subject to local market and candidate skills and experience. Comprehensive health benefits, unlimited paid time off, and other benefits are included; relocation assistance may be available for certain roles.

Requirements

At least 5 years of experience as an operational meteorologist.
Strong forecasting judgment and experience integrating observations, NWP guidance, satellite products, and radar with traditional meteorological analysis.
Excellent written and verbal communication skills, including experience explaining technical weather information to nontechnical audiences.
Hands-on experience using AI tools to improve professional workflows and the ability to critically evaluate their output.
Demonstrated ability to adopt new technology, improve processes, and share effective practices with colleagues.
Experience assessing forecast uncertainty and reviewing forecast performance to improve future guidance.
Ability to manage multiple forecast responsibilities, prioritize effectively, and maintain accuracy under pressure.
Knowledge of weather patterns across the continental United States and ability to forecast across varied global climate zones.
Strong radar interpretation skills, including dual-polarization products.
Availability to work a variety of shifts, including weekends and holidays.

Nice To Haves

Forecasting experience for outdoor or sporting events, transportation, aviation, or logistics.
Experience writing TAFs or other operational aviation weather products.
Experience creating templates, automations, or repeatable tools that improve forecasting or customer communication.
Experience working with product, science, or engineering teams on model verification or forecasting tools.

Responsibilities

Monitor evolving conditions and produce timely forecasts and risk assessments using observations, numerical weather prediction, satellite products, radar, and synoptic analysis.
Interpret model differences and forecast uncertainty, particularly for high-impact weather and customer decisions.
Explain weather impacts through written reports, briefings, and direct consultation tailored to customer operations.
Use Tomorrow.io’s platform and available AI tools to accelerate analysis, prepare first drafts, organize information, and improve the timeliness and consistency of customer updates.
Check AI-generated and automated output against meteorological evidence, correct errors, communicate uncertainty, and apply expert judgment before delivering consequential guidance.
Review forecast performance and significant misses, and share findings with Meteorology, Science, Product, and Engineering teams to improve models, tools, and operational practices.
Identify recurring forecast and communication tasks that can be automated or standardized; help design, test, document, and adopt improved workflows across shifts.
Help customers incorporate Tomorrow.io products into daily operations by translating weather insights into practical workflows and identifying barriers to adoption.
Contribute forecasting guidance, handoffs, and shared practices that support consistent quality across the team.