Technical Delivery Manager, Engineering & Consulting

🕒 August 22

🇺🇸 United States – Remote

💵 $155k - $180k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤓 Technical Project Manager

👻 Ghost score 8%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Legence

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Design and implement services, integrations, automation, and prototypes hands-on • Own architecture, build-vs-buy, tooling, and integration decisions • Write production code, review pull requests, pair with engineers, and ship solutions • Lead AI-driven development using coding assistants, agentic workflows, and LLM APIs • Ensure solutions integrate with ERP/CRM, identity, data platforms, and cloud infrastructure • Lead engineers day to day by setting direction, assigning ownership, and prioritizing high-value work • Mentor and grow engineers through pairing, design discussions, and specific feedback • Build engineering culture around code quality, testing, design debate, and shared ownership • Participate in hiring, onboard engineers, and develop senior engineers into technical leaders • Serve as the primary technical counterpart for business stakeholders and product owners • Translate business goals into working solutions, prototypes, and demos • Communicate progress, risks, and trade-offs; push back constructively and propose alternatives • Keep initiatives moving from scope through delivery with lightweight structure • Remove blockers, coordinate dependencies across teams and vendors, and use meaningful delivery metrics

🎯 Requirements

• 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 • Experience with enterprise systems and integration patterns, including ERP/CRM platforms, REST/event-driven APIs, middleware, identity and access management, cloud platforms, and data pipelines • Track record of leading delivery of enterprise software initiatives while remaining hands-on • Experience leading and growing an engineering team or serving as a technical lead • Excellent communication skills for explaining technical decisions, negotiating scope, and mentoring engineers • Working fluency with CI/CD, DevOps, testing, and iterative delivery • Bachelor's degree in Computer Science, Engineering, or a related field is preferred, or equivalent experience • Experience in the built environment, energy, engineering services, or a related industry is preferred • Familiarity with MCP, agentic AI systems, or deploying LLM-based features to production is preferred • Hands-on integration experience with Microsoft 365, Salesforce, ServiceNow, or similar enterprise ecosystems is preferred

🏖️ Benefits

• Participation in discretionary bonus plan may be available based on company and individual performance • Remote work option • Compensation varies based on skills, experience, and work location