Jobs · Utah

Director of Engineering

Caselle, Inc. · Provo, UT · 2 wk ago
Full-time

What You'll Do

  • People & Culture
    • Lead, mentor, and grow engineers across cross-functional teams, providing technical guidance, coaching, and career development.
    • Cultivate a culture of ownership, passion, innovation, and accountability, inspiring engineers to take pride in their craft and ship high-quality experiences.
    • Lead engineering hiring, from recruiting strategy through onboarding.
  • Technical Leadership & AI
    • Lead the integration of AI across the development lifecycle, from requirements through deployment, driving measurable gains in velocity, quality, and developer experience.
    • Champion spec-driven development with Product and QA leadership, establishing clear specifications as the source of truth for engineers and AI-assisted tooling.
    • Provide architectural and technical leadership, guiding design, reviewing code, and unblocking teams as needed.
    • Oversee both legacy and modern platforms, keeping existing systems stable while driving migration to web-based technologies, and partner with DevOps on reliability, performance, and security.
  • Delivery & Operations
    • Partner with Product Management to shape product strategy and roadmap decisions, and coordinate sprint and release planning with strong agile practices.
    • Define and track engineering KPIs, and establish processes, standards, and best practices that scale.
    • Own engineering metrics and report to the executive team on those metrics, project progress, risks, and tradeoffs.
    • Lead incident response and escalations, including customer-facing discussions, ensuring post-incident reviews drive lasting improvements.

What You'll Bring

  • 10+ years in software engineering, including 5+ years leading and scaling engineering teams.
  • A track record of shipping reliable, scalable web-based systems; experience modernizing legacy platforms is a strong plus.
  • Hands-on fluency with AI-assisted development tools and a clear point of view on transforming the SDLC with AI.
  • Experience with spec-driven or specification-first development practices, partnering closely with Product and QA.
  • Strong architectural judgment with enough hands-on depth to review code and unblock teams.
  • Excellent communication with technical and non-technical stakeholders.
  • Proven success recruiting, developing, and retaining engineering talent.

What Success Looks Like

  • Teams consistently deliver high-quality software on predictable timelines.
  • AI and spec-driven development are standard practice, measurably improving velocity, quality, and developer experience.
  • The platform is reliable, secure, and steadily modernizing toward a scalable, web-based architecture.
  • Engineering health is visible and improving, with the executive team confident in delivery, metrics, and progress.
  • The team is strong and growing, with a culture of ownership, passion, and innovation that attracts and retains top talent.

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