YOUR MISSIONYou'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.
WHAT YOU'LL DO- 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
