Senior Manager, AI Software Engineering

Senior Manager, AI Software Engineering

New York, NY

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.

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.

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.
• Ensure the team adheres to best practices in coding, testing, and documentation, maintaining high standards of software quality, and operational excellence.
• Stay updated with emerging technologies and industry trends, and integrate them into the development process as appropriate.
• Collaborate with product managers, stakeholders, and other departments to define project requirements, scope, and objectives for cloud-based AI solutions.
• Communicate project status, issues, and risks to senior management and stakeholders, providing regular updates and reports on both model performance and cloud compute spend.
• Contribute to the development of the software engineering strategy, aligning it with the overall business objectives for enterprise AI adoption.
• Identify opportunities for process improvements, automation, and innovation to enhance productivity and efficiency.
• Participate in long-term planning, including technology roadmaps and capacity planning to optimize AWS resource utilization for AI workloads.
• Foster strong collaboration between engineering teams, product management, and other departments to ensure alignment and effective communication.
• Act as a liaison between technical teams and non-technical stakeholders, translating technical concepts into business terms.
• Other duties as assigned.

What you've accomplished:

• Must have: 8+ years of experience in software development, with at least 3 years in a leadership role.
• Strong proficiency in software development methodologies, full-stack engineering, and languages (e.g., NodeJS, Type Script, concurrency, JSON, REST, AI - Claude, Gemini, OpenAI, nice to have).
• Demonstrated expertise in Fullstack development in a scalable NodeJS environment, Cloud infrastructure, and infrastructure as code.
• Knowledge of Dev Ops practices, CI/CD pipelines, and automated testing
• Excellent leadership, team-building, and interpersonal skills.
• Abi…