Senior Engineering Manager

Role overview This position leads a full-stack engineering team building AI-powered systems that support the go-to-market organization of an early education software platform. The role is hands-on and cross-functional, partnering directly with Sales, Marketing, Customer Success, Operations, and Data to turn ambiguous business problems into reliable products and workflows. Work spans internal products, CRM and data integrations, evaluation systems, and customer-facing automation.

Responsibilities - Lead a full-stack engineering team from problem definition through production, measurement, and iteration - Translate company goals into clear outcomes, investment choices, and a credible execution plan - Set the engineering strategy for quality, reliability, security, privacy, and operational health - Ship AI-powered products and change how the team works with AI rather than simply adding AI features - Hire and develop strong engineers, set a clear performance bar, and act when individuals or the team fall below it - Make capacity, dependencies, forecasts, and risks visible early - Partner directly with GTM and Operations leaders to identify problems, prototype solutions, and define success metrics - Build internal products and AI workflows that improve revenue, conversion, productivity, or quality, and measure adoption - Own cross-system execution across CRM, data, product, and AI services, with clear dependencies and decision rights

Requirements - Track record of leading an engineering team that delivered measurable customer or business results - Technical depth to challenge architecture, product, data, reliability, and operational decisions - Experience setting engineering strategy and making explicit investment and prioritization choices - Hands-on experience shipping an AI-powered product or workflow to production, with measurable outcomes - Experience hiring and developing engineers, building succession, and handling performance issues - Ability to build trusted partnerships across Product, Design, and business teams while representing a clear Engineering point of view

Nice to have - Background in vertical SaaS, education, fintech, healthcare, CRM, ecommerce, or another operations-heavy domain - Experience leading a material change in product direction, architecture, or operating model - Hands-on experience building production AI products, agents, evaluation systems, or automation - Experience leading engineering for internal business functions and working directly with senior stakeholders - Strong product intuition and UX empathy, with the ability to represent Product and Design on small bets - Experience connecting CRM, data, integration, and AI systems into reliable workflows that move a business metric