Senior Engineering Manager, Infrastructure

Genius AI; San Francisco (CA); On-site; USD 230,000 - 280,000; Full time

Benefits offered by this job

Flexible PTO

In-office lunch NYC and SF

Wellhub access

Professional development stipend

Annual $5k bonus for high performers

401k

Dependent Care FSA

Paid parental leave

Fertility and adoption benefits

Job summary

Genius AI is seeking a senior leader to own the Compute, Data, and DevEx platforms. You will set reliability standards, manage vendor spend, and build a self-service platform enabling engineers to ship with efficiency.

You will report to the VP of Engineering and work in-office in San Francisco, with 3-4 days per week on-site. Expect collaboration across infra, data, and product teams to drive scalable, reliable systems.

Qualifications

• 8+ years of infrastructure or platform engineering experience with at least 4 years leading engineering teams at a high-growth tech company.
• Ability to design systems that absorb AI-enabled workflows and reduce manual toil, with measurable impact.
• Proven track record of driving reliability, scalable platforms, and cost management across cloud regions.

Responsibilities

• Own the technical roadmap for infrastructure and data platform, scaling to higher traffic while maintaining 99.95% uptime and managing cloud spend across AWS regions.
• Shape agentic production operations and build AI enablement layers to delegate routine tasks to agents.
• Define reliability engineering practices with SLIs/SLOs, incident response, and post-mortems.
• Raise developer experience via CI/CD standardization and self-service tooling for IaC without heavy platform involvement.
• Drive incident command during outages and implement systemic fixes.
• Own vendor strategy and budgets, negotiating contracts and migrating to better vendors when justified.

Skills

Infrastructure engineering

Platform engineering

Team leadership

AI enablement

Decision making under uncertainty

Engineer coaching

Scale distributed systems

Business acumen

Tools

AWS

Kubernetes

Terraform

ArgoCD

Observability tooling

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

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.