Atmospheric Science Lead (Weather AI) jobs in United States
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Predictive Sales AI a Spectrum Communications & Consulting LLC Brand · 1 day ago

Atmospheric Science Lead (Weather AI)

Predictive Sales AI is redefining technology in digital marketing through AI-powered solutions. They are seeking a PhD-level meteorology/climatology expert to lead the scientific integrity of their weather feature, ensuring it translates atmospheric science into product-ready requirements and provides credible weather intelligence at scale.

ConsultingInternetInternet of ThingsTelecommunications

Responsibilities

Define the weather variables and derived indices most predictive for home improvement demand, such as: Heating/Cooling Degree Days, freeze/thaw cycles, precipitation intensity/duration, Wind impacts, humidity/heat indices, storm severity proxies, Event flags (hail, heavy rain, snow/ice), anomalies vs. normals, multi-day lead/lag effects
Translate science into product requirements: how signals should behave, update, and explain themselves
Recommend and evaluate data sources (observations, forecasts, reanalysis) and define when to use each
Set policies for spatial/temporal resolution, downscaling/aggregation, and handling missing or biased coverage
Define uncertainty representation (probabilistic outputs, confidence, ensemble approaches) and guardrails against over-precision
Build the testing framework for: Regional/seasonal performance across climate zones, Extreme events and edge cases (rapid temperature swings, heavy precipitation, hurricanes, winter storms), Drift and ongoing monitoring (forecast bias shifts, station density artifacts, vendor changes)
Lead root-cause analysis when outputs look “off” and drive fixes with engineering
Create “plain English” explanations for non-technical users: why weather affected demand/forecast
Contribute to customer-facing methodology notes, FAQs, and sales enablement materials
Partner with Customer Success on high-stakes accounts where defensibility matters

Qualification

PhD in MeteorologyOperationalizing weather dataGeospatial data workflowsApplied weather analysisCollaboration with ML teamsProactiveOrganizedCommunication skillsDetail-oriented

Required

PhD in Meteorology, Atmospheric Science, Climatology, Earth System Science, or closely related field
Experience operationalizing weather data in products (weather APIs, forecast systems, risk/intelligence products)
Familiarity with geospatial and atmospheric data workflows (e.g., gridded datasets, stations, NetCDF/GRIB concepts)
Applied work linking weather to human/market outcomes (construction, home services, logistics, energy, insurance, etc.)
Comfort collaborating with ML teams on feature engineering, causal pitfalls, and confounding factors

Benefits

Competitive salary
Performance-based bonuses
Flexible work arrangements
Robust benefits package

Company

Predictive Sales AI a Spectrum Communications & Consulting LLC Brand

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With proven success across many industries over 30 years, we have accumulated the blueprint to scaling your home services business.

Funding

Current Stage
Growth Stage

Leadership Team

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Ty King
President & CEO
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Company data provided by crunchbase