Lead Software Engineer, Meteorological Technologies

Lead Software Engineer, Meteorological Technologies

Andover, MA

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.

Job brief: As a Lead Software Engineer of Meteorological Technologies at The Weather Company, you will transform meteorological operations by strategically building meteorological tools and applying intelligent workflow automation and AI where they deliver real value. You'll partner with our 24x7 Forecast Operations team to evaluate emerging automation tools, build practical solutions and unlock higher productivity from our meteorologists.

This is both a leadership and hands‑on technical role requiring someone who can co‑design, build, manage, sustain and rapidly evolve cloud‑based technology solutions in an operational meteorological environment, co‑architect AI workflows and assess cutting‑edge tools with discernment, and influence—often across multiple projects simultaneously. You'll aggressively evaluate AI capabilities in partnership with science and technology colleagues while thoughtfully deploying them in trustworthy ways, knowing when AI adds value versus when traditional solutions are smarter, and building pragmatic intelligent systems that operational meteorologists actually use.

• Build, maintain, and leverage intelligent meteorological tools and workflow automation using AI and traditional software
• Unlock value by adding capacity to meteorological operations through automation, capturing expertise, and integrating solutions across consumer and business verticals
• Aggressively evaluate emerging AI tools and traditional software while thoughtfully assessing which platforms deliver trustworthy, practical value for our operations
• Partner with meteorologists and developers to co-create solutions through collaboration, not top‑down directives
• Make pragmatic technology decisions balancing innovation with operational reliability, feasibility, simplicity, cost, and effectiveness
• Manage multiple concurrent projects, advancing 3‑5+ initiatives from assessment through production deployment and sustaining engineering
• Influence technical direction across Science & Technology development and operational support teams beyond your direct scope
• Champion thoughtful AI adoption, helping teams embrace intelligent automation while maintaining trust and reliability
• Bring order where there is chaos, creating workflow efficiency where manual processes and inefficiencies currently exist
• Modernize select legacy systems by proposing sustainable replacements when they block automation opportunities

• 7+ years in cloud‑based (e.g., AWS) solutions architecture, software development, Dev Ops, or related technical roles
• Domain experience in meteorology, weather forecasting, aviation, or scientific operations
• Production software delivery across the full lifecycle from design to deployment to support
• 24x7 operational environments – worked with mission‑critical systems where trustworthiness and reliability matter
• Multi‑project execution – successfully managed 3‑5+ concurrent technical initiatives to completion
• AI‑assisted development – practical experience using AI coding assistants such as V0, Git Hub Copilot, Cursor to accelerate development workflows
• LLM and modern AI integration – practical experience with APIs, prompt engineering, RAG, agentic workflows, or similar capabilities
• Modern web development – experience with React, Next.js, or similar frameworks for building production web applications
• Both AI and traditional solutions – comfortable building with or without AI based on what the problem requires
• API design and integration – connecting AI or other systems with existing tools and building maintainable architectures
• System modernization – successfully replaced…