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The Technical Product Manager will manage the product line life cycle, conduct market analysis, and assist in product development and prioritization.

The Senior Program Manager will oversee New Product Introduction projects, coordinating tasks, establishing deadlines, and maintaining project progress for Fire Suppression products.

The Sales Manager for Sustainable Infrastructure manages project development teams, oversees project portfolios, ensures high customer satisfaction, and leads hiring and performance management efforts.

Support pre and post sales activities on building systems, including equipment project execution, technical support, documentation, and customer relations.

The Equipment Systems Application Engineer assists in pre-sales and post-sales activities for HVAC projects, providing technical support, project execution, and customer communication, while ensuring profitability and compliance with contract requirements.

The HR Technology Lead manages HR systems design and implementation, leading the technology team and ensuring compliance with laws and best practices while aligning technology strategy with organizational goals.

Sell complex, guaranteed-savings sustainable infrastructure solutions to C-level building owners. Build and manage long-term customer relationships, qualify and close large deals, position renewable service agreements, lead account teams, leverage sales tools (Salesforce, TAS), and coordinate internal resources to deliver projects and customer satisfaction. Travel up to 50% and target vertical market opportunities.

Lead business-unit growth and M&A strategy: conduct market and competitive analysis, build investment theses, maintain an M&A pipeline, perform preliminary target assessments (commercial, operational, financial), and present actionable recommendations to senior leadership.

The Senior Software Platform Engineer will develop software components for a building management system, focusing on both managed and native software solutions, while participating in agile planning and collaboration.

Build and maintain enterprise-scale ML/LLM infrastructure on Azure: create automated, secure CI/CD pipelines, provision resources with Terraform, enable real-time inference and RAG pipelines, and collaborate with data science and product teams to productionize generative AI solutions.