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The Weather Company is seeking a Senior Manager of Meteorological Technologies to transform meteorological operations through AI-enabled workflow automation and cloud-based solutions. You will co-design, build, deploy, and evolve tools with a focus on reliability and practical value for meteorologists.
You will lead multi-project initiatives across 24x7 operations, evaluating emerging AI tools while maintaining trust and operational efficiency. Hybrid work options are available.
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). AI is part of how we work: Human judgment, expertise, and creativity remain essential and are amplified by AI. We expect everyone in this role to use AI thoughtfully and proactively to accelerate their performance, improve the quality of their work, and explore new possibilities. We are looking for people who are curious, adaptable, and excited to help shape an AI-enabled culture that delivers better outcomes for our customers and our company.
As a Senior Manager 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.
$200,000 - $240,000
The base salary offered will take into account internal equity and may vary depending on the candidate's geographic region of work premises, job-related knowledge, skills, and experience, among other factors.