About The Weather Company:

The Weather Company is the world’s leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company’s high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way. The world’s most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com).

Job brief:

The Consumer Weather Science team sits inside Science and Forecast Operations. We are the science engine behind weather.com, the Weather Channel mobile apps, and labs.weather.com, TWC’s experimentation surface where vertical consumer experiences (sailing, kiteboarding, golf, pollen, hiking, ski, fishing, gardening) are incubated, validated, and graduated into flagship products. We are a small, senior team of scientist-engineers who own the path from atmospheric model output to consumer experience, working closely with product, design, and engineering across the company.

You will own the technical and scientific delivery of one or more consumer vertical experiences. That means translating model output, observations, and AI-derived insights into APIs, data services, and product integrations that serve hundreds of millions of users. Your portfolio will begin with outdoor sports with room to expand into adjacent verticals as the labs pipeline evolves. You will act as the science-side product owner for those verticals: scoping each experience with product and design partners, building or evolving the data backend, orchestrating model-evaluation work with our research scientists, integrating LLM-driven content generation (AI briefings, condition explanations, alerts), and shepherding experiences from lab experiments into flagship. This is a senior individual contributor role. You will set technical direction for your verticals and serve as the science-and-engineering voice in cross-functional working groups.

The impact you'll make:

• Science-side delivery of consumer vertical experiences from model output through production APIs to user-facing features
• Data pipelines and APIs that serve forecast products derived from GRAF, MPAS, ECMWF, and TWC ML models to labs experiments and flagship apps
• LLM-driven content generation in consumer experiences, including prompt engineering, evaluation harnesses, and guardrails
• Reduction-to-practice work with research scientists 
• Labs-to-flagship graduations, partnering with product owners, designers, and front-end engineers
• Day-to-day use of AI coding assistants and agentic workflows as part of how the team builds

What you've accomplished:

• 4+ years of software engineering with demonstrated ability to take projects from concept to production at consumer scale
• Strong Python in a Linux/Unix environment. TypeScript or JavaScript for front-end integration is a plus
• Working knowledge of atmospheric science, NWP, or a closely adjacent earth-science domain. You should be a credible scientific partner to our research scientists and able to make sound product calls under scientific uncertainty
• Demonstrated daily use of AI coding assistants (Claude Code, Cursor, Cline, or similar)
• AWS experience (S3, Lambda, ECS, API Gateway, SQS/SNS) and modern DevOps practices (CI/CD, IaC)
• Hands-on production experience with LLM APIs, including prompt engineering, evaluation, guardrails, and observability
• Comfort working across scientists, designers, product, and external partners. Strong translation skills between scientific nuance and product reality
• Strong written and verbal communication; comfortable presenting in cross-functional and leadership settings

Nice to have:

• Advanced degree (M.S. or PhD) in Atmospheric Science, Meteorology, Oceanography, or a related field
• Experience with meteorological data formats (GRIB, NetCDF, HDF, Zarr) and geospatial processing
• Experience building consumer or outdoor vertical products (sailing, kiteboarding, golf, ski, hiking, fishing, agriculture)
• Operationalisation of ML or AI-derived forecast products (downscaling, ensemble post-processing, emulators)
• Familiarity with LLM observability and routing infrastructure (LiteLLM, Langfuse)
• Experience working alongside designers and PMs in a labs/experimentation context