Technical Delivery Manager

Legence

. Design and implement services, integrations, automation, and prototypes using production code .

Posted 9/23/2026full-timeRemote • United StatesSeniorLead💰 $155,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI-driven software development, including hands-on experience with modern programming languages and enterprise system integrations. Proven ability to lead engineering teams, mentor engineers, and communicate effectively with stakeholders to deliver high-quality solutions.

Highest-signal resume keywords

AI-Driven Software DevelopmentModern Programming Languages (Python, C#, TypeScript, Java)Enterprise Systems Integration (ERP/CRM)CI/CD and DevOps PracticesTeam Leadership and Mentorship

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software DevelopmentProduction Systems DesignDebugging and ShippingPrompt/Context EngineeringREST/Event-Driven APIsCloud PlatformsData PipelinesIntegration PatternsCode Quality StandardsTesting Methodologies

Soft Skills

Excellent CommunicationMentoringNegotiationProblem-SolvingCollaboration

Tools & Technologies

Microsoft 365SalesforceServiceNowAI Coding AssistantsLLM APIsAgentic AI Systems

Certifications & Qualifications

Bachelor's Degree in Computer ScienceEngineering or Related Field

Industry Keywords

Built EnvironmentEnergyEngineering ServicesEnterprise Ecosystems

Tech Stack

Tools & technologies

CloudERPJavaJavaScriptPythonServiceNowTypeScript

About the role

Key responsibilities & impact

Design and implement services, integrations, automation, and prototypes using production code
Own architecture, build-vs-buy, tooling, and integration decisions
Set engineering standards through code reviews, pairing, and example
Lead AI-driven development using AI coding assistants, agentic workflows, and LLM APIs
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 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 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 delivery metrics to improve outcomes

Requirements

What you’ll need

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 and middleware, identity and access management, cloud platforms, and data pipelines
Track record of leading enterprise software delivery 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 to executives, negotiating scope, and mentoring engineers
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

Benefits

Comp & perks

Discretionary bonus plan eligibility based on company and individual performance (not guaranteed)
Remote work option
Hiring bonuses and guaranteed year-end bonuses may be available under Company policy, subject to stated conditions