Engineering Manager

CarvPark City, UT

About The Position

The role involves leading a cross-functional team to achieve their best work by setting clear expectations, providing direct feedback, building accountability, and fostering an environment for high performance. This includes collaborating closely with Product to translate ambitious goals into actionable plans. Quality is paramount, extending beyond code to ensuring the product functions effectively for real skiers in real conditions, requiring hands-on validation through ski testing or close collaboration. As an AI-first engineering organization, the role seeks leaders excited by AI, who use it extensively, and understand its reliance on a strong surrounding system, including clear specifications, context, shared workflows, careful review, solid testing, and real-world validation. The goal is to leverage AI effectively, moving beyond hype.

Requirements

  • Experience managing strong engineers in a startup or scale-up, with the technical judgment to guide decisions and earn trust.
  • Hands-on engineering experience shipping code to production in a fast-paced company, with enough depth to understand trade-offs, review technical decisions, and credibly support the team.
  • Strong product instinct and a sharp eye for quality, including real-world validation of the customer experience.
  • Clear, direct communication style with a strong ability to build accountability and handle performance well.
  • Strong AI fluency, high standards, and a bias for action.

Responsibilities

  • Lead and develop a team of engineers across Android, iOS, Rust, and backend, with full ownership of line management, performance, growth, and hiring.
  • Partner with Product and the CTO to turn priorities into clear plans, manage trade-offs, and deliver high-quality outcomes.
  • Own the quality of the product your team ships, including real-world validation on snow through direct ski testing or close collaboration with others.
  • Work with senior engineers on architecture, technical direction, quality, and execution standards.
  • Help the team get real leverage from AI by combining strong usage with clear workflows, review standards, testing, and structure.
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