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Salary
$155k – $180k per year
Location
Remote (United States)
Seniority
Staff · 7+ years exp

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Aug 21, 2026.

Overview
Company
Impact
Profile match
A.O. Reed & Co. is an American mechanical contractor providing HVAC, plumbing and piping construction, installation and maintenance services in Southern California. Founded in 1914, it has served commercial, healthcare and institutional clients for more than 100 years with offices in San Diego and Santa Ana. The company is headquartered in San Diego, California.

Technical Delivery Manager, Installation & Maintenance

Location: Any Legence location, with remote option 

Employment Type: Full-Time

 

About the Role

Legence is seeking a Technical Delivery Manager who leads by building. This is a player- coach role in the fullest sense: you'll spend real time in the codebase — designing solutions, writing code, reviewing pull requests, and shipping — while leading a team of engineers and serving as the trusted technical voice for business stakeholders. You keep delivery on track not by administering process, but by understanding the work deeply enough to make the right calls, grow your team, and jump in yourself when it matters.

The ideal candidate can present a solution approach to executives in the morning and implement a tricky integration in the afternoon. Deep, practical experience with AI-driven software development and enterprise systems is a must.

What You'll Do

Build and Ship

Design and implement solutions hands-on: services, integrations, automation, and prototypes — you write production code, not just review it

Own technical decisions on your initiatives: architecture, build-vs-buy, tooling, and integration approach

Set the technical bar through code reviews, pairing, and example — engineers should learn from working alongside you

Lead AI-driven development in practice: build with AI coding assistants and agentic workflows (e.g., Claude Code, GitHub Copilot), integrate LLM APIs into products and internal tools, and show the team how to get real leverage from these tools safely

Ensure solutions integrate cleanly with enterprise systems — ERP/CRM, identity, data platforms, cloud infrastructure — and hold up on security, scalability, and maintainability

Lead the Technical Team

Lead a team of engineers day to day: set direction, assign ownership, and keep the team focused on the highest-value work

Grow engineers through hands-on mentorship — pairing, design discussions, and honest, specific feedback rather than annual-review platitudes

Build a strong engineering culture: high standards for code quality and testing, healthy debate on design, and shared ownership of outcomes

Shape the team itself— participate in hiring, onboard new engineers, and develop senior engineers into technical leaders

Shield the team from noise and churn; absorb ambiguity from stakeholders and hand engineers clear, well-framed problems

Foster effective adoption of AI development tools across the team, establishing shared practices for where they accelerate work and where human judgment stays in the loop

Engage Stakeholders

Act as the primary technical counterpart for business stakeholders and product owners

Translate business goals directly into working solutions — shorten the distance between "what we need" and "here it is" with prototypes and demos rather than documents

Communicate progress, risks, and trade-offs in plain language; earn trust by showing working software early and often

Push back constructively when a request doesn't make technical or business sense, and bring better options

Drive Delivery (Lightweight)

Keep initiatives moving end to end — scope, sequence, ship — with just enough structure to stay predictable

Remove blockers fast, usually by solving the underlying technical problem rather than escalating it

Coordinate dependencies across teams and vendors pragmatically; favor working agreements over heavyweight process

Use metrics that matter (cycle time, quality, outcomes delivered) instead of ceremony for its own sake

What You Bring

Required Qualifications

7+ years building software, including recent, sustained hands-on coding — this is a technical role first

Strong command of at least one modern language (e.g., Python, C#, TypeScript/JavaScript, Java) and comfort picking up others; able to design, build, debug, and ship production systems

Demonstrated experience with AI-driven software development: daily use of AI coding assistants, building with LLM APIs, prompt/context engineering, or shipping Al-augmented features and workflows

Solid experience with enterprise systems and integration patterns: ERP/CRM platforms, REST/event-driven APIs and middleware, identity and access management, cloud platforms (Azure, AWS, or GCP), 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 tech lead for one — mentoring, technical direction-setting, and building team culture, without stepping away from the code

Excellent communication skills — able to explain technical decisions to executives, negotiate scope with stakeholders, and mentor engineers

Working fluency with modern engineering practices: CI/CD, DevOps, testing, and iterative delivery

Preferred Qualifications

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 work with platforms such as Microsoft 365, Salesforce, ServiceNow, or similar enterprise ecosystems

Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

Who You Are

A builder at heart who happens to be great with people — you'd rather demo a working prototype than present a status deck

A pragmatic technologist who measures success in shipped outcomes, not tickets closed

Curious and current on AI capabilities, and disciplined about applying them where they create real value

Direct, calm under pressure, and comfortable making decisions with incomplete information

A multiplier — you lead engineers by example, invest in their growth, and make the whole team faster and better

 

Base salary: $155,000-$180,000 per year. This role may be eligible for participation in discretionary bonus plan based on company and individual performance.Notes: Actual compensation will be based on skills, experience, and work location, and may vary from the posted range. Hiring bonuses (and any guaranteed year-end bonuses) are administered under Company policy and are not earned until all stated conditions are met (e.g., active employment on the payment date). This posting reflects compensation at the time of posting and may be updated.

#LI-JS1 #LI-Remote

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