Engineering Manager, Compose

Description

The Mural Compose team is ambitious and fast-moving. We are passionate builders who love to experiment and iterate. Our project is seeking to leverage the latest technology in AI to acquire new customers and expand our revenue base as broadly as possible. This team is at the front of our product strategy and future growth.

YOUR MISSION

You'll lead the team behind one of Mural's most important bets. In the near term, you'll take our AI native product from early access to a product that customers rely on every day, raising quality, reliability, and speed as more users come on board.

Expect a very hands-on role. You'll review PRs, set the technical standards the team builds to, and stay close to the code and architecture decisions. You'll also keep the team's pace high and sustainable while building a high-performing team in a remote-first way.

Responsibilities

• Lead, hire, and grow a team of full-stack engineers through regular 1:1s, clear expectations, coaching, and performance management.
• Own delivery end to end with a fast, experimental loop: ship early to real users, measure what works, and iterate quickly without losing reliability.
• Partner with Product and Design as co-owners of the Compose roadmap, using customer feedback and usage data to decide what to build, cut, or double down on.
• Raise engineering craft across testing, observability, and AI-assisted development, and model Mural's remote-first, work-in-public culture at a sustainable pace.
• WHAT YOU'LL BRING
• 2+ years managing software engineers directly, with responsibility for hiring, coaching, and performance management.
• 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 solid technical foundation, enough to lead architecture discussions and review code with credibility.
• A bias for experimentation: you make sound calls quickly, learn from data, and change course when the evidence says so.
• 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.
• Excellent communication skills, including explaining technical tradeoffs clearly to product, business, and customer stakeholders.
• Experience leading a team that shipped LLM-powered features to production, including evaluation, quality monitoring, and cost management.
• Experience building AI agents, retrieval systems, knowledge graphs, or familiarity with Model Context Protocol (MCP).
• Our Stack
• Azure OpenAI, React, Node, MongoDB