Fleetio - Engineering Manager, Growth

• You are an experienced engineering leader who believes great engineering teams are measured by the customer and business outcomes they create, not simply the features they ship. • You have successfully led growth-focused engineering organizations that use experimentation, analytics, and rapid iteration to improve activation, engagement, retention, monetization, or other key business metrics. You understand that experimentation is more than running A/B tests. It's about creating fast learning loops, making high-quality decisions, and continuously improving the customer experience. • You possess a blend of engineering leadership, growth experimentation expertise, data fluency, and strong people management skills. • You understand event instrumentation, product analytics, experimentation platforms, and statistical fundamentals well enough to challenge assumptions, ask thoughtful questions, and coach engineers to produce trustworthy data and scalable implementations. You have hands-on familiarity with usage and event analytics tooling such as Snowflake, Segment, Growthbooks, , or similar systems, and can partner with Product and Analytics while coaching engineers on high-quality instrumentation. • You care deeply about engineering excellence.You hold a high bar for quality while continuously improving engineering velocity. You create systems that allow teams to move quickly without compromising maintainability, reliability, or customer experience. • You have experience managing and developing engineers, setting clear expectations, sustaining team engagement, and helping teams deliver measurable outcomes. You communicate clearly, make thoughtful tradeoffs, and create clarity across multiple stakeholders. • Your impact • Your impact • Lead both the Growth 1 and Growth 2 engineering squads against a shared growth mission and roadmap. • Act as a strategic thought partner to Product, Design, Data, and Engineering Leadership, proactively identifying technical opportunities, sequencing work for maximum leverage, and shaping roadmap priorities based on engineering insight and experimentation learnings. • Optimize engineering execution by proactively identifying dependencies, removing bottlenecks, sequencing work effectively, and ensuring teams deliver value with urgency and focus. • Help the teams run structured experimentation programs that improve activation, adoption, conversion, engagement, or retention. • Raise the bar for engineering excellence by coaching engineers on code quality, testing practices, observability, experimentation discipline, and product-minded engineering while enabling teams to ship quickly and confidently. • Translate experiment results, usage data, and customer insights into engineering priorities and roadmap recommendations. • Manage roughly 7 direct reports initially, with a model that may scale toward 8 engineers as the squads build out. Coach and develop engineers into exceptional growth engineers with strong product intuition, analytical thinking, experimentation discipline, and a deep sense of ownership. • Develop and mentor engineers through regular 1:1s, feedback, coaching, and performance conversations. • Foster a high-performing, accountable engineering culture where engineers are empowered to solve customer problems, challenge assumptions, and continuously improve how the team works. Communicate progress, risks, lessons learned, and trade-offs clearly to stakeholders. • Recruit, hire, and retain exceptional engineering talent that raises the technical, analytical, and collaborative bar across the Growth organization. • 2+ years of experience leading engineering teams as an Engineering Manager or technical people leader. • Proven experience leading engineering organizations focused on product-led growth, experimentation, onboarding, activation, adoption, engagement, retention, monetization, or conversion optimization • Deep experience designing and operating experimentation programs, including A/B testing, guardrail metrics, statistical significance, experiment analysis, and translating learnings into product strategy. • Hands-on familiarity with analytics and event-data tooling such as Snowflake, Segment, Growthbooks, or similar platforms. • Experience coaching engineers on experimentation, engineering quality, execution speed, and long-term maintainability. • Experience partnering closely with Product, Design, Data, and Analytics as a strategic thought partner rather than an execution partner. • Experience managing SaaS web application engineering teams; Ruby on Rails and React experience preferred. • Strong track record of developing engineers, setting clear expectations, and helping teams deliver measurable outcomes. • Excellent written and verbal communication skills.