Engineering Manager, Platform

About the Role

Platform teams at Genius AI build the shared systems, services, and tooling that every product team relies on to build, ship, and scale with confidence. That leverage is what lets Genius AI's core product run as the daily operating system for 120,000+ service businesses. The platform is expanding, the agentic product is active and developing, and the standards for execution are increasing accordingly.

As an Engineering Manager of a Platform team, you'll own end-to-end responsibility for engineering quality, team health, and the outcomes your team drives for the businesses we serve. This is a focused ownership role leading tier-zero systems, identity, permissions, session management, and messaging infrastructure, that every product on the platform depends on.

You'll partner directly with Product and Design leaders across the teams that rely on your systems to be great.

You must be commutable to our NYC headquarters or SF office and will operate in a hybrid environment. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays.

What You'll Do

• Own execution for your team end-to-end: delivery, quality bar, scope trade-offs, and the decisions that get things shipped without accumulating technical debt
• Embed AI tooling into how your team builds as a default, not a suggestion, identifying where it accelerates development cycles, improves code quality, and removes bottlenecks that previously required human intervention
• Architect the layer of AI-powered systems and tooling that makes your team disproportionately productive, not just feature-shipping, but building the automation that multiplies output
• Partner with Product and Design from early strategy through production, bringing engineering perspective into the room before decisions are made
• Contribute to technical direction for your area: surface platform needs and scaling challenges early, and help your team make good architectural calls
• Develop your team: invest in its growth, stretch the high-potential, and build a team where people get better because of working there
• Partner with recruiting to hire strong engineers, hold a high bar on every candidate, and build a team culture that retains them

What We're Looking For

• 5+ years of software engineering experience, with at least 2 years managing a software engineering team at a high-growth technology company
• Fundamentally changed how you build software because of AI: you use it to architect, debug, write, and review code, and you have a clear point of view on where it accelerates your team's output versus where judgment still needs to be human
• Make decisions and move: you don't wait for full information, you set a direction, ship something, and adjust based on what you learn
• Strong enough technical judgment to earn the trust of your team, evaluate architectural trade-offs, and give meaningful input on what gets built and how
• Track record of developing engineers: you've invested in people's growth and can point to what they went on to do
• Customer-centric instincts: you connect engineering decisions to outcomes for the service businesses we serve, not just to technical correctness
• Comfortable working in close collaboration with Product and Design to define what gets built, not just how

Benefits & Perks

• Competitive health & dental insurance options, effective on your first day of employment
• Flexible PTO
• In-office lunch twice per week for NYC and SF employees, plus late night dinner stipends
• Access to Wellhub, a corporate wellness platform with discounted gym memberships, fitness classes, and mental health resources
• Annual stipend for professional development and continued learning
• High performers at 5 years receive a generous stipend to use however you recharge best
• 401k benefit: employees are eligible to contribute starting day 1 of employment
• Dependent Care FSA
• Paid parental leave
• Fertility and adoption benefits via Carrot and Kindbody

Agency Submissions

If a resume or applicant is submitted to Genius AI by a third party without a signed search agreement in place, it will become the property of Genius AI and no fee will be paid, irrespective of whether the candidate is hired.

Genius AI may use automated tools, including artificial intelligence and machine learning systems (AI Tools), to assist in evaluating applicants’ qualifications and fitness for the position. These AI Tools may be used alongside human review during one or more stages of the recruiting process, including application screening, skills assessments, and interviewing. No final hiring decision will be made solely by AI Tools without human oversight.