MURAL is a collaborative intelligence company powering effective ideation, innovation, alignment, and team building 💫

Engineering Manager, Growth

Engineering ManagerEngineering ManagerFull TimeRemoteTeam 501-1,000H1B SponsorCompany Site LinkedIn

Location

United States

Posted

51 days ago

Salary

$196K - $240K / year

Bachelor Degree5 yrs expEnglishJava ScriptNode.jsType Script

Job Description

• Own growth engineering end-to-end: Lead technical decisions for paid acquisition, referrals, SEO, onboarding, and experimentation infrastructure—staying hands-on in the codebase (30-40% of your time) while guiding your team's delivery. You own production uptime and participate in on-call. • Rebuild onboarding to drive conversion: Architect and ship a new trial-to-paid experience, working closely with Product and Design to rapidly test hypotheses and iterate based on real user behavior • Scale experimentation infrastructure: Evolve our A/B testing platform to handle 10x current volume, enabling the broader org to run more tests with less engineering lift • Build and develop a high-performing team: Hire strong engineers, set clear expectations, deliver feedback in real-time, and create an environment where people do the best work of their careers • Partner across functions: Collaborate daily with Marketing on acquisition channels, Data on measurement, and Product on prioritization—no silos, no handoffs, shared outcomes

Job Requirements

5+ years of hands-on software engineering experience shipping production code, ideally with Node.js/TypeScript, though we welcome strong engineers from other modern stacks who can adapt quickly
2+ years managing engineering teams (3+ ICs), with a track record of delivering projects that moved business metrics—not just shipped features
Ruthless prioritization skills: You know how to edit scope to the smallest thing that generates useful feedback, and you're comfortable killing experiments that aren't working
An outcome-oriented and highly-experimental interest in AI-driven development practices: You're actively using AI tools throughout the development lifecycle and expect your team to do the same
Comfort with ambiguity and speed: Growth work is inherently experimental—you thrive when the path isn't clear and iteration cycles are measured in days, not quarters.