Senior Engineering Manager, Product

About Genius AI Genius AI is building technology to help local businesses run themselves. Genius AI products do the admin work that keeps practitioners from the work they love and the people they serve. From GlossGenius to Reception, its products work 24/7 on busywork like booking, marketing, client management, finances, staff and inventory management, and more. Genius AI technology has saved businesses 106M in admin hours, earned them $2.0B in additional revenue, and facilitated more than 624M client touch points. About the Role The engineering organization at Genius AI is maturing fast: more teams, more surface area, more complexity, and this role exists to own a meaningful part of it. As a Senior Engineering Manager, you'll lead across multiple teams, set technical direction for your domain, and connect engineering decisions directly to business outcomes. The platform is expanding, the agentic product is active and developing, and the standards for execution are increasing accordingly. This isn't a role about managing the status quo, it's about raising it: building the next generation of engineering leaders, shaping what gets built and why, and making the teams around you disproportionately effective. You will report to the Director of Engineering. You must be commutable to our NYC headquarters and will operate in a hybrid environment. We default to being in-office 3–4 [... source excerpt omitted ...] inception through launch, making the call on what gets built and why Shape the technical vision for your domain, anticipating platform needs, scaling challenges, and integration requirements before they become fires Build the next generation of engineering leaders: develop high-potential ICs toward future leadership roles Partner with recruiting to attract and retain strong engineers, and hold a high bar on every hire into your domain What We're Looking For 8+ years of engineering experience, with at least 3 years managing or leading software engineering teams at a high-growth technology company You've integrated AI tooling into your engineering workflow in a meaningful, struc [... source excerpt omitted ...] ong technical judgment: able to evaluate architectural trade-offs, earn the respect of strong engineers, and make difficult decisions under uncertainty Strong business acumen and customer-centric instincts, with the ability to connect engineering decisions directly to customer outcomes Proven ability to collaborate with product and design to ship from 0 to 1, with ownership over the full arc from inception to launch Demonstrated track record of developing engineers, you've invested in people and can point to what they went on to do Make decisions and move: you don't wait for full information, you set a technical direction, ship something, and adjust based on what you learn B