
10,000+ employees
🏗️ Construction
🤝 B2B
⚡ Energy
Construction • B2B • Energy
Legence is a Nasdaq-listed (LGN) provider of engineering, consulting, installation, and maintenance services that improve building performance and reliability for mission‑critical and technically demanding facilities. Founded in 1914 and now a Blackstone portfolio company, Legence delivers MEP engineering and design, program and project management, HVAC and process piping installation/fabrication, and ongoing preventative and corrective maintenance, with a strong emphasis on sustainability, net‑zero building design, and distributed generation. The company serves high-growth sectors including data centers, semiconductors, precision manufacturing, life sciences, healthcare, education, public sector, and commercial real estate, and reports large in-house teams of engineers, consultants, technicians, and craftspeople.
🔥 2 minutes ago
🏄 California, Maryland – Remote
💵 $155k - $180k / year
⏰ Full Time
🟠 Senior
🔴 Lead
🤓 Technical Project Manager
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10,000+ employees
🏗️ Construction
🤝 B2B
⚡ Energy
Construction • B2B • Energy
Legence is a Nasdaq-listed (LGN) provider of engineering, consulting, installation, and maintenance services that improve building performance and reliability for mission‑critical and technically demanding facilities. Founded in 1914 and now a Blackstone portfolio company, Legence delivers MEP engineering and design, program and project management, HVAC and process piping installation/fabrication, and ongoing preventative and corrective maintenance, with a strong emphasis on sustainability, net‑zero building design, and distributed generation. The company serves high-growth sectors including data centers, semiconductors, precision manufacturing, life sciences, healthcare, education, public sector, and commercial real estate, and reports large in-house teams of engineers, consultants, technicians, and craftspeople.
• Design and implement hands-on solutions, including services, integrations, automation, and prototypes • Own architecture, build-versus-buy, tooling, and integration decisions • Write production code, review pull requests, pair with engineers, and set technical standards • Lead AI-driven development using AI coding assistants and agentic workflows • Integrate LLM APIs into products and internal tools • Ensure solutions integrate with ERP/CRM, identity, data platforms, and cloud infrastructure while meeting security, scalability, and maintainability standards • Lead engineers day to day, set direction, assign ownership, and prioritize high-value work • Mentor and grow engineers through pairing, design discussions, and feedback • Build engineering culture and participate in hiring and onboarding • Serve as primary technical counterpart for business stakeholders and product owners • Translate business goals into working solutions through prototypes and demos • Communicate progress, risks, and trade-offs; challenge requests constructively and propose alternatives • Drive initiatives end to end through scoping, sequencing, and shipping • Remove blockers, coordinate dependencies across teams and vendors, and use meaningful delivery metrics
• 7+ years building software, including recent, sustained hands-on coding • Strong command of at least one modern language, such as Python, C#, TypeScript/JavaScript, or Java • Ability to design, build, debug, and ship production systems • Demonstrated experience with AI-driven software development, including AI coding assistants, LLM APIs, prompt/context engineering, or AI-augmented features and workflows • Solid experience with enterprise systems and integration patterns, including ERP/CRM platforms, REST/event-driven APIs and middleware, identity and access management, cloud platforms, and data pipelines • Track record of leading delivery of enterprise software initiatives while remaining a hands-on contributor • Experience leading and growing an engineering team or acting as a tech lead • Excellent communication skills for explaining technical decisions, negotiating scope, and mentoring engineers • Working fluency with CI/CD, DevOps, testing, and iterative delivery • Experience in the built environment, energy, engineering services, or a related industry • Familiarity with MCP, agentic AI systems, or deploying LLM-based features to production • Hands-on integration experience with Microsoft 365, Salesforce, ServiceNow, or similar enterprise ecosystems • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience (preferred)
• Discretionary bonus plan based on company and individual performance may be available • Remote option • Hiring bonuses and guaranteed year-end bonuses administered under Company policy, subject to stated conditions
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