Technical Delivery Manager, Corporate

Clear Destination Inc.; Northern (KY); Hybrid; USD 155,000 - 180,000; Full time

Job summary

Legence is seeking a Technical Delivery Manager who leads by building. This role blends hands-on coding with leadership, shipping AI-enabled enterprise solutions and guiding a team of engineers while aligning with business stakeholders.

Ideal candidates will design, code, review, and ship while steering technical direction, architecture, and integrations across ERP/CRM, data platforms, and cloud infrastructure. Strong communication is essential.

Qualifications

• 7+ years building software with hands-on coding
• Experience with AI-driven software development and LLM APIs
• Strong background in enterprise systems integration and cloud platforms
• Proven ability to lead and grow an engineering team while coding
• Excellent communication skills, able to translate tech to execs
• Practices CI/CD, DevOps, testing, and iterative delivery

Responsibilities

• Build and ship: write production code, design architecture, and integrate systems
• Lead the technical team: set direction, mentorship, and hiring involvement
• Engage stakeholders: translate business goals into working solutions and demos
• Drive delivery: coordinate end-to-end initiatives with pragmatic processes

Skills

Hands-on coding

AI-driven development

Enterprise systems

Engineering leadership

Excellent communication

CI/CD/DevOps

Education

Bachelor's degree in CS/Engineering

Tools

ERP/CRM platforms

REST APIs / middleware

Cloud platforms (Azure/AWS/GCP)

CI/CD tooling

LLM APIs / AI tooling

Job description

Technical Delivery Manager, Corporate

Location: Any Legence office 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

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. Bonus eligibility and payout are determined by role, individual performance, and company performance, and are not guaranteed.

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.

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