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SaaS, Beauty Technology, Business Management Software

Senior Engineering Manager, Infrastructure

San Francisco, CAHybridFull TimeManager / Head$230,000–$280,000 /yrPosted 2 months agoVisa sponsorship available

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Required skills

  • AWS
  • Kubernetes
  • Terraform
  • ArgoCD
  • Observability tooling
  • SLI
  • SLO
  • Incident Response
  • Post-mortems
  • CI platform standardization

Nice to have

  • high-growth technology company
  • AI
  • business acumen
  • developer velocity

Role summary

Genius AI is seeking a Senior Engineering Manager for Infrastructure to lead their Compute, Data, and DevEx teams. This role is critical for powering all Genius AI products and involves setting reliability standards, managing vendor spend, and building a self-service platform for product engineers. The manager will define the platform's future, grow the team, and report to the VP of Engineering. Key responsibilities include owning the technical roadmap for infrastructure and data platforms, ensuring scalability and uptime targets (99.95%) while controlling cloud spend across AWS regions. The role also focuses on advancing AI in production operations, establishing reliability engineering practices (SLI/SLO), managing incident response, and improving developer experience through CI standardization and IaC tooling. The position requires strong hands-on expertise in AWS, Kubernetes, Terraform, ArgoCD, and observability, along with business acumen to treat cloud spend and developer velocity as business enablers. The role is based in San Francisco and operates in a hybrid work environment.

About Genius AIGenius 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 SubmissionsIf 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.

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