Note: The job is a remote job and is open to candidates in USA. Legence is seeking a hands-on Technical Delivery Manager to lead engineering teams while designing, building, and shipping software solutions. The role owns technical decisions, AI-driven development, enterprise integrations, stakeholder communication, and end-to-end delivery.

Responsibilities

• 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 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 ofAI development tools across the team, establishing shared practices for where they accelerate work and where human judgment stays in the loop
• 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
• 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

Skills

• 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 ofAI 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
• Candidates must have current work authorization in the U.S.; visa sponsorship is not available for this position
• 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)

Benefits

• This role may be eligible for participation in discretionary bonus plan based on company and individual performance.
• 401(k) Plan with Company Match: Currently match contributions dollar-for-dollar up to 4% of eligible pay; immediate vesting.
• Employer provided medical, dental, vision, prescription drug, Employee Assistance Program and accident & illness coverage.
• Employer provided basic life insurance and AD&D valued at 50K coverage amount with the option for voluntary buy up for additional coverage.
• Flexible non-accrual vacation; company holidays per policy.
• For California employees, this is separate from California paid sick leave, if applicable.
• Business travel and related expenses reimbursed per company policy.
• Any Legence location, with remote option

Company Overview