jobapplier

Engineering Manager (Compose)

MURAL

Skills

Required

  • knowledge graphs
  • Model Context Protocol MCP
  • lead architecture discussions
  • explaining technical tradeoffs clearly

Preferred

  • full-stack
  • LLM-powered
  • evaluation
  • quality monitoring

Join Mural as an Engineering Manager for our AI native product, Compose. In this hands-on role, you'll lead a team of full-stack engineers, own delivery end to end, and partner with Product and Design. You'll also raise engineering craft across testing, observability, and AI-assisted development. Enjoy benefits such as a 401(k), company equity, health insurance, and a fully remote team.

USD 176,645 - 252,350

Responsibilities

  • Lead the team responsible for developing and enhancing Mural's AI native product, ensuring high quality, reliability, and speed as user adoption increases.
  • Take ownership of the delivery process from start to finish, implementing a fast, experimental loop to ship early to real users, measure what works, and iterate quickly.
  • Build and grow a high-performing team of full-stack engineers, providing regular coaching, performance management, and fostering a culture of collaboration and innovation.
  • Experience leading a team that shipped LLM-powered features to production, including evaluation, quality monitoring, and cost management

Requirements

  • 2+ years managing software engineers directly, with responsibility for hiring, coaching, and performance management
  • Experience building AI agents, retrieval systems, knowledge graphs, or familiarity with Model Context Protocol (MCP)
  • A solid technical foundation, enough to lead architecture discussions and review code with credibility
  • 5+ years of prior experience as a software engineer building and operating production applications, with hands-on technical work in the last 3–4 years
  • A people-first approach: you lead with empathy, listen first, and build the trust and psychological safety that help each person do their best work
  • A bias for experimentation: you make sound calls quickly, learn from data, and change course when the evidence says so
  • Excellent communication skills, including explaining technical tradeoffs clearly to product, business, and customer stakeholders