Director of Software Development Job Centennial area,Colorado USA,Software Development

Director of Software Development

Location:

Centennial, CO (Hybrid / In-Office)
Company: Yield Solutions Group

Reports to:

Chief Technology Officer

The Opportunity

Yield Solutions Group processes 15,000+ auto refinance applications every month across a network of 30+ lending partners. The software running that operation spans borrower-facing applications, lender integrations, and internal operations tooling, all built on AWS, Java Spring Boot, and React.

We are looking for a Director of Software Development to lead the engineering function. You will manage a team that includes software engineers and architects. The architects own technical design and system architecture; your job is to lead them well, not do their job for them. You will set delivery standards, drive engineering culture, and translate business objectives into team priorities.

This is also a role for someone who takes AI adoption seriously. We expect the Director of Software Development to operate at the leading edge of how AI tools are used in engineering, not as a novelty, but as a disciplined shift in how the team works. That means operating at the Intent Engineering and Delegation Model levels of AI-assisted development: communicating goals and constraints to AI systems at a high level of abstraction, defining outcomes and acceptance criteria for AI-executed tasks, and holding the team to the same standard.

What

You'll Do Strategy & Leadership

Lead, develop, and retain a team of software engineers and architects; set clear expectations around performance, delivery, and professional growth

Manage architects effectively: ensure architecture decisions are grounded in business context, properly documented, and executed with engineering discipline, without substituting your own judgment for theirs

Partner with the CTO on engineering direction, organizational design, and build vs. buy decisions

Set and enforce team-wide standards for code quality, testing, code review, branching, incident response, and release practices

Drive AI adoption across the engineering team with rigor: establish a team operating model at the Intent Engineering and Delegation Model levels, engineers communicate goals and constraints to AI systems at a high level of abstraction, define outcomes and acceptance criteria for AI-executed tasks, and evaluate results rather than generating code line by line

Recruit engineering talent at multiple levels; build a team culture where accountability and growth are not mutually exclusive

Discovery & Execution

Own the software development roadmap; align delivery to product commitments, operational needs, and lending partner integrations

Drive reliable, on-schedule delivery of production software with the operational rigor appropriate for a high-volume financial services platform

Maintain technical depth sufficient to assess architecture decisions, conduct meaningful code reviews, and identify quality problems, without being the person responsible for creating or owning the architecture

Apply AI tooling at the Delegation Model level in your own workflow: define outcomes and acceptance criteria for AI-executed tasks, monitor execution, and review results; model this approach explicitly for the team

Identify and resolve delivery bottlenecks; manage dependencies across product, Dev Ops, data, and operations

Growth & Optimization

Build a team-wide practice of AI adoption at the Intent Engineering level: engineers articulate goals, constraints, and context clearly enough for AI systems to reason about full problems and produce substantial, correct output, shifting the skill floor from writing syntax to specifying intent

Track engineering velocity, code quality, and system reliability with real metrics; act on what the data shows

Establish and evolve career frameworks for engineers at all levels; create legible paths from junior to senior and from IC to lead

Drive continuous improvement in testing discipline, deployment frequency, and incident recovery time

Identify technical debt that affects delivery risk or system reliability and make the case for addressing it with concrete tradeoffs

Partnership & Compliance

Work closely with the Directors of…