Senior Manager, Meteorological Technologies
$200,000–$240,000 year
HybridAndover, Massachusetts, United States
Job Summary
Build and maintain intelligent meteorological tools and workflow automation using AI and traditional software to unlock capacity for forecast operations. Aggressively evaluate emerging AI tools and traditional software while thoughtfully assessing which platforms deliver trustworthy, practical value for operations. Partner with meteorologists and developers to co-create solutions through collaboration, not top-down directives, and manage multiple concurrent projects advancing 3-5+ initiatives from assessment through production deployment. Modernize legacy systems by proposing sustainable replacements when they block automation opportunities, bringing order to manual processes and inefficiencies. Make pragmatic technology decisions balancing innovation with operational reliability, feasibility, simplicity, cost, and effectiveness.
Required Qualifications
- 5+ years in cloud-based (e.g. AWS) solutions architecture, software development, DevOps, 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
- 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 or upgraded operational systems when needed
- Bachelor's degree Computer Science, Engineering, AI/ML, Meteorology, or related field (or equivalent experience)
Desired Qualifications
- Frontend/backend coordination - experience building or leading development of full-stack web applications with API integrations and using React, Next.js or similar frameworks, modern hosting platforms and serverless architectures
- Practical AI deployment - built and shipped AI solutions that solve real operational problems with appropriate monitoring and safeguards
- LLM and modern AI integration - practical experience with APIs, prompt engineering, RAG, agentic workflows, or similar capabilities
- Advanced AI techniques - vector databases, embeddings, semantic search, RAG, or multi-agent orchestration patterns
- AI-assisted development - practical experience using AI coding assistants such as V0, GitHub CoPilot, Cursor or ClaudeCode to accelerate development workflows
- Multi-language programming - proficiency in Python, JavaScript/TypeScript, Go, or similar languages
- DevOps practices - CI/CD pipelines, infrastructure as code, containerization, monitoring and observability
- Process mining and optimization - formal experience identifying and quantifying automation opportunities
- Technology evaluation frameworks - made pragmatic build/buy/AI decisions using structured analysis balancing innovation with reliability
- Master's degree or higher in Computer Science, Engineering, AI/ML, Meteorology, or related field (or equivalent experience)
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