Senior Engineering Manager

Posted 3 months agoViewed
United StatesFull-TimeSaaS
Company:EasyLlama
Location:United States, EST, PST
Languages:English
Seniority level:Senior, 10+ years
Experience:10+ years
Skills:
LeadershipProject ManagementSoftware DevelopmentAgileArtificial IntelligenceCloud ComputingJavascriptRuby on RailsSoftware ArchitectureReactCI/CDDevOpsMentoringTeam management
Requirements:
10+ years of professional experience building and launching production-grade software in SaaS or similar high-scale industries. 3+ years demonstrating success managing remote teams (5+ engineers) in dynamic, international and fast-moving environments. Proven experience working in high-growth startup environments. Strong portfolio of shipped web applications with significant AI-driven features or tooling. Expertise in modern web development technologies, including Ruby on Rails, React, JavaScript/TypeScript, and modern CI/CD workflows. Deep understanding of software architecture, AI/ML, API design, and scalable systems. Proven experience in driving complex engineering projects from idea to execution. Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience). Excellent communication skills, with a knack for cross-functional collaboration.
Responsibilities:
Lead, mentor, and grow a distributed team of 6+ talented web engineers. Act as a product thought leader and liaison between engineering and product teams. Drive employee engagement, motivation, and career development through regular feedback and coaching. Recruit top-tier talent and help shape the engineering culture of a fast-paced startup. Provide technical direction across web development initiatives using technologies such as Ruby (on Rails), JavaScript, React, and other modern web stacks. Collaborate with Product, Design, QA, and other stakeholders to deliver high-impact, scalable solutions under tight startup timelines. Spearhead efforts to build and ship innovative features powered by artificial intelligence. Guide the team in prototyping, evaluating, and implementing AI-driven enhancements that improve user experience and operational efficiency. Bring an iterative, MVP-first approach that suits startup speed and constraints. Design, define, and roll out the processes around new and existing initiatives. Own the full software development lifecycle—from design and requirements gathering to development, testing, deployment, and post-launch support. Ensure best practices in Agile/Scrum methodologies, including sprint planning, retrospectives, and cross-functional coordination. Set clear engineering KPIs and ensure on-time delivery without compromising code quality or system reliability. Optimize workflows and eliminate bottlenecks in collaboration with DevOps and QA.
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