Senior Manager, AI Software Engineering

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.

Job brief:

The Senior Manager, AI Software Engineering is a pivotal leadership role responsible for guiding a high-performance team in the execution and deployment of cloud-native AI architectures.

As a player-coach, you will balance strategic management with hands-on development, overseeing the full software lifecycle from requirements to deployment on AWS infrastructure.

You will drive innovation by integrating emerging AI technologies—such as Claude, Gemini, and OpenAI—while ensuring operational excellence, effective resource allocation, and seamless collaboration between technical teams and business stakeholders to advance enterprise AI adoption.

The impact you'll make:

• Lead, mentor, and manage a team of software engineers focused on AI execution, fostering a collaborative and high-performance work environment.
• Be a player/coach with 20% hands as part of your day to day responsibilities.
• Conduct regular performance reviews, provide feedback, and create development plans to support career growth and skill development in cloud-native AI architectures.
• Ensure effective resource allocation, team productivity, and project delivery within timelines and budget constraints.
• Oversee the entire software and AI development lifecycle, from requirements gathering and design to implementation, testing, and deployment on Cloud infrastructure.