PRINCIPAL, TECHNOLOGY ENGINEERING

Our project is seeking to leverage the latest technology in AI to acquire new customers and expand our revenue base as broadly as possible. In the near term, youll 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. Youll review PRs, set the technical standards the team builds to, and stay close to the code and architecture decisions. Youll also keep the teams pace high and sustainable while building a high-performing team in a remote-first way. WHAT YOULL 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 Murals remote-first, work-in-public culture at a sustainable pace. WHAT YOULL 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 EQUAL OPPORTUNITY We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.