Development Team Lead

Verisk•Lehi, UT

5d•$130,000 - $140,000•Hybrid

About The Position

The Development Team Lead leads a team of software engineers building and maintaining Xactimate Desktop, a large, mature C#/.NET and WPF application. Reporting to the Software Development Manager, the Team Lead spends most of their time setting direction, developing people, removing obstacles, and ensuring the team delivers high-quality software predictably. They remain hands-on for roughly a third of their time, which keeps their technical judgment sharp and lets them model the practices they expect of the team. A central part of this role is leading the team’s adoption of AI-assisted development. The Team Lead champions practical, everyday use of AI coding tools, builds the habits and guardrails that make those tools effective on a large legacy codebase, and measures their impact on productivity and quality. Success requires strong technical depth, clear communication, and the ability to bring a team along through change.

Requirements

5+ years of professional software development experience with deep, hands-on technical proficiency.
Demonstrated ability (or strong aptitude) to lead software engineers, whether as a team lead or as a senior or technical lead who guided others’ work.
Strong experience with C#/.NET, and experience with WPF and MVVM or comparable desktop UI frameworks.
Familiarity with CI/CD tooling such as TeamCity.
A track record of delivering high-quality software on schedule while upholding engineering standards.
Fluency with agile methods (Scrum or Kanban) and iterative, incremental delivery.
Excellent written, verbal, and interpersonal communication skills.
Strong planning and organizational skills, with the ability to work independently and drive outcomes.
A product- and user-centered mindset in engineering decisions.
Coachability, openness to feedback, and a record of reliability.
Genuine curiosity about AI-assisted development and a willingness to lead others through changes in how they work.

Nice To Haves

Hands-on experience using AI coding tools (e.g., GitHub Copilot, Claude Code, Cursor) in professional development work.
Experience introducing new tools or practices to a team and measuring their impact on productivity or quality.
Experience working in a large, long-lived codebase, including refactoring, improving test coverage, or modernization efforts.
Experience collaborating with distributed teams across time zones.
Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience.

Responsibilities

Lead, coach, and develop a team of software engineers through regular one-on-ones, clear expectations, and timely, actionable feedback.
Set individual and team goals, track progress with meaningful measures, and address performance concerns early and directly.
Hire engineers who raise the team’s capability by screening, interviewing, and making selection recommendations.
Build a team culture of ownership, trust, and continuous learning.
Lead the team’s adoption of AI-assisted development tools (e.g., GitHub Copilot, Claude Code, or similar), moving the team from occasional use to consistent, effective daily practice.
Establish and refine AI-assisted workflows across the development lifecycle, including specification, design, implementation, code review, testing, and documentation.
Apply AI tooling to the specific challenges of a large legacy codebase: understanding unfamiliar code, expanding test coverage, refactoring safely, and accelerating modernization.
Define guardrails for responsible use, including review expectations for AI-generated changes, security and data-handling practices, and quality standards.
Measure the impact of AI tooling on throughput, cycle time, and quality, and share results and lessons learned with other teams and leadership.
Coach engineers individually on effective AI use and spread techniques that work across the team.
Own code quality and adherence to department engineering standards for the team; review pull requests and ensure changes meet team standards.
Partner with principal engineers on architecture and technical direction so the team’s designs align with the broader product architecture.
Oversee technical planning so work is well understood, feasible, and appropriately sized before it begins.
Contribute hands-on (roughly 30% of time) through coding, code review, prototyping, and pairing, modeling best practices in testing and documentation.
Ensure the team meets its commitments and delivers high-quality software against agreed timelines and objectives.
Plan and prioritize work collaboratively with Product Management, negotiating trade-offs among scope, quality, and schedule.
Facilitate or participate in agile ceremonies (planning, stand-ups, reviews, retrospectives) and take part in the on-call rotation as required.
Surface delivery risks early and communicate them clearly, along with options for addressing them.
Partner with the Software Development Manager and cross-functional leaders in Product, QA, and UX to improve processes and outcomes.
Coordinate cross-team engineering efforts, including shared architectural decisions, dependencies, and releases.
Engage with customers and internal stakeholders to gather feedback, communicate progress, and apply root-cause analysis to improve products and processes.
Present information clearly and credibly to both technical and non-technical audiences.
Identify and implement improvements to engineering workflows and agile practices.
Maintain accurate, current documentation of the team’s systems, practices, and decisions.
Stay current with evolving development tools and techniques, especially in AI-assisted engineering, and promote continuous learning on the team.