Job description

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 You will lead our Compute, Data, and DevEx teams - everything Genius AI ships is powered by what this role owns. You will set the reliability bar, own vendor spend, and build the self-service platform that lets product engineers ship. You will define what the platform becomes and grow/evolve the team who builds it. You will report to the VP of Engineering. You must be commutable to our San Francisco office and will operate in an in-person environment, as we default to being in-office 3-4 days per week. What You'll Do Own the technical roadmap for infrastructure and the data platform, defining how we scale from today's footprint to supporting an order of magnitude more traffic while holding a 99.95% uptime target and keeping cloud spend under control across multiple AWS regions Continue to shape agentic production operations as the default, building the AI enablement layer that lets engineers delegate routine operational work to agents and reserve their own judgment for novel tasks Define the reliability engineering practice with product engineering, standing up SLI and SLO frameworks, managing incident response, and post-mortems Raise developer experience across the org through CI platform standardization and self-service tooling that enables teams to manage their own infrastructure as code without a platform engineer in the loop Drive incident command during critical outages, then convert every one into a systemic fix instead of a follow-up ticket that ages out Own vendor strategy and infrastructure budget, negotiating enterprise contracts and leading migrations to new vendors when the cost or capability case is clear What We're Looking For 8+ years of infrastructure or platform engineering experience, with at least 4 years managing or leading engineering teams at a high-growth technology company Fundamentally changed how your team operates because of AI, and you can name the system you designed, the work it absorbed, and what your engineers stopped doing as a result Make decisions and move: you set a technical direction with incomplete information, ship something, and adjust based on what the data tells you Managed managers or tech leads before, and scaled a team through a period of real growth without letting the performance bar or the culture slip Deep hands-on expertise across AWS, Kubernetes, Terraform, ArgoCD, and modern observability tooling, with the ability to debug a complex distributed system yourself when it matters Strong business acumen: you treat cloud spend, developer velocity, and reliability as part of enablement and not a cost center. We believe this function to be directly connected business levers rather than separate engineering metrics Track record of developing engineers, and you can point to specifically what they went on to do 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 $5,000 bonus 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 The base salary for this role is between $230,000-$280,000 + equity + benefits. The compensation package offered is dependent upon many factors including skills, experience, location, and education. The range is subject to change and may be modified in the future. Additionally, this role is currently eligible to participate in Genius AI's equity plan as well as a range of health & wellbeing, retirement savings, and other benefits within our total rewards offering. Genius AI is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics. Personal Information: Notice at Collection for Employees and Applicants 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.

Requirements

Must-haves

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.
You will report to the VP of Engineering. You must be commutable to our San Francisco office and will operate in an in-person environment, as we default to being in-office 3-4 days per week.
Continue to shape agentic production operations as the default, building the AI enablement layer that lets engineers delegate routine operational work to agents and reserve their own judgment for novel tasks
Define the reliability engineering practice with product engineering, standing up SLI and SLO frameworks, managing incident response, and post-mortems
Raise developer experience across the org through CI platform standardization and self-service tooling that enables teams to manage their own infrastructure as code without a platform engineer in the loop
Drive incident command during critical outages, then convert every one into a systemic fix instead of a follow-up ticket that ages out
Own vendor strategy and infrastructure budget, negotiating enterprise contracts and leading migrations to new vendors when the cost or capability case is clear
8+ years of infrastructure or platform engineering experience, with at least 4 years managing or leading engineering teams at a high-growth technology company
Fundamentally changed how your team operates because of AI, and you can name the system you designed, the work it absorbed, and what your engineers stopped doing as a result
Make decisions and move: you set a technical direction with incomplete information, ship something, and adjust based on what the data tells you
Managed managers or tech leads before, and scaled a team through a period of real growth without letting the performance bar or the culture slip
Deep hands-on expertise across AWS, Kubernetes, Terraform, ArgoCD, and modern observability tooling, with the ability to debug a complex distributed system yourself when it matters
Track record of developing engineers, and you can point to specifically what they went on to do
Benefits & Perks
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
Dependent Care FSA
Fertility and adoption benefits via Carrot and Kindbody

Nice-to-haves

High performers at 5 years receive a $5,000 bonus to use however you recharge best

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiawskubernetesmachine learning

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

401k

Pto

Parental Leave

Wellness

Professional Development