5+ years of professional experience as a Software Engineer building and operating production software
Strong proficiency building modern web applications. Experience with TypeScript, React, Node.js, and MongoDB or similar technologies, with the ability to become productive quickly
Familiarity with Model Context Protocol (MCP) and the broader AI tooling ecosystem and the ability to quickly learn emerging AI technologies
Experience leveraging AI-assisted development tools and workflows to improve engineering productivity, code quality, and delivery
Experience building customer-facing products in close partnership with Product and Design teams
A product mindset with the ability to balance customer needs, technical tradeoffs, and business goals
Experience using analytics and data to inform engineering and product decisions
Strong software engineering fundamentals, including system design, testing, observability, and operational excellence
Excellent communication and collaboration skills, with the ability to influence technical decisions across cross-functional teams
A track record of taking ownership of ambiguous problems, driving projects from concept to delivery, and mentoring other engineers
Experience working on a Growth/Engagement team or in a product engineering role focused on experimentation and customer lifecycle improvements
Experience working with business metrics such as activation, engagement, retention, conversion, and monetization to inform product and engineering decisions
Experience designing, implementing, or analyzing product experiments (A/B testing, feature flagging, or similar experimentation frameworks)
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience