8 часов назад
Senior Engineering Manager, Infrastructure (AI)
230 000 - 280 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineering Manager, Infrastructure (AI): Leading Compute, Data, and DevEx teams while building the self-service infrastructure platform that supports product engineering, with an accent on reliability, scalability, developer experience, and cloud cost control. Focus on designing agentic production operations, establishing SLI/SLO frameworks, managing critical incidents, and scaling infrastructure across multiple AWS regions.
Location: San Francisco; must be commutable to the San Francisco office and work in person 3–4 days per week.
Salary: $230,000–$280,000 base salary per year, plus equity and benefits.
Company
Genius AI builds products such as GlossGenius and Reception that automate administrative work for local businesses, including booking, marketing, client management, finances, staff, and inventory management.
What you will do
- Lead the Compute, Data, and DevEx teams and define the infrastructure and data platform roadmap.
- Scale systems across multiple AWS regions toward an order of magnitude more traffic while targeting 99.95% uptime and controlling cloud spend.
- Build agentic production operations and an AI enablement layer that allows engineers to delegate routine operational work to agents.
- Establish reliability engineering practices, including SLI/SLO frameworks, incident response, and post-mortems.
- Standardize CI and self-service infrastructure-as-code tooling to improve developer experience.
- Own vendor strategy and infrastructure budgets, including enterprise contract negotiations and vendor migrations.
Requirements
- 8+ years of infrastructure or platform engineering experience, including at least 4 years managing or leading engineering teams at a high-growth technology company.
- Experience managing managers or technical leads and scaling engineering teams while maintaining performance and culture standards.
- Deep hands-on expertise with AWS, Kubernetes, Terraform, ArgoCD, and modern observability tooling.
- Ability to debug complex distributed systems and define technical direction with incomplete information.
- Experience applying AI to fundamentally change team operations, with a concrete system and measurable impact.
- Strong business acumen across cloud spend, developer velocity, reliability, and engineer development.
Culture & Benefits
- In-person work environment with lunch twice per week for San Francisco employees and late-night dinner stipends.
- Health and dental insurance available from the first day of employment.
- Flexible PTO, paid parental leave, dependent care FSA, and fertility and adoption benefits.
- 401(k) contributions available from the first day of employment.
- Annual professional development stipend and access to Wellhub wellness resources.
- Equity plan and a $5,000 five-year high-performer recharge bonus.
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