Senior Engineering Manager, Infrastructure

Genius AI (HearstLab); San Francisco (CA); On-site; USD 250,000 - 380,000; Full time

Benefits offered by this job

Health and dental insurance

Flexible PTO

In-office lunch twice per week

Late night dinner stipends

Wellhub access

Professional development stipend

$5,000 bonus for high performers at 5 

401k with matching

Dependent Care FSA

Paid parental leave

Fertility and adoption benefits

Job summary

Genius AI is seeking a leader for our Compute, Data, and DevEx teams to drive the technical roadmap for infrastructure and data platforms, set reliability standards, manage vendor spend, and build a self-service platform enabling product engineers to ship efficiently.

This role will define the future of our platform, grow the team responsible for it, and lead incident response while balancing speed, reliability, and cost at scale.

Qualifications

• 8+ years of infrastructure or platform engineering experience, with at least 4 years managing or leading engineering teams at a high-growth technology company.
• Have fundamentally changed team operations through AI, with specific examples of systems designed and work absorbed.
• Make decisions and set technical direction with incomplete information, iterate quickly, and adjust based on data.
• Have managed managers or tech leads and scaled teams through significant growth while maintaining performance and culture.

Responsibilities

• Own the technical roadmap for infrastructure and data platforms, scaling to support significantly increased traffic while maintaining a 99.95% uptime target and controlling cloud spend across multiple AWS regions.
• Shape agentic production operations, building the AI enablement layer that allows engineers to delegate routine operational work to agents.
• Define reliability engineering practices, including SLI and SLO frameworks, incident response, and post-mortems.
• Improve developer experience through CI platform standardization and self-service tooling, enabling teams to manage infrastructure as code independently.
• Lead incident command during critical outages and ensure systemic fixes are implemented.
• Own vendor strategy and infrastructure budget, negotiate enterprise contracts, and lead migrations to new vendors as needed.

Job description

Genius AI is seeking a leader for our Compute, Data, and DevEx teams to drive the technical roadmap for infrastructure and data platforms, set the reliability bar, manage vendor spend, and build a self-service platform enabling product engineers to ship efficiently. This role will define the future of our platform and grow the team responsible for it.

Responsibilities will include:

• Own the technical roadmap for infrastructure and data platforms, scaling to support significantly increased traffic while maintaining a 99.95% uptime target and controlling cloud spend across multiple AWS regions
• Shape agentic production operations, building the AI enablement layer that allows engineers to delegate routine operational work to agents
• Define reliability engineering practices, including SLI and SLO frameworks, incident response, and post-mortems
• Improve developer experience through CI platform standardization and self-service tooling, enabling teams to manage infrastructure as code independently
• Lead incident command during critical outages and ensure systemic fixes are implemented
• Own vendor strategy and infrastructure budget, negotiate enterprise contracts, and lead migrations to new vendors as needed

You’re a great fit if you:

• Have 8+ years of infrastructure or platform engineering experience, with at least 4 years managing or leading engineering teams at a high-growth technology company
• Have fundamentally changed team operations through AI, with specific examples of systems designed and work absorbed
• Make decisions and set technical direction with incomplete information, iterate quickly, and adjust based on data
• Have managed managers or tech leads and scaled teams through significant growth while maintaining performance and culture
• Possess deep hands-on expertise in AWS, Kubernetes, Terraform, ArgoCD, and modern observability tooling, with the ability to debug complex distributed systems
• Demonstrate strong business acumen, treating cloud spend, developer velocity, and reliability as business enablers
• Have a track record of developing engineers and can point to their subsequent achievements

Total Compensation

Competitive salary and benefits.

Additional benefits include:

• Comprehensive health and dental insurance options effective on your first day
• Flexible PTO
• In-office lunch twice per week for NYC and SF employees, plus late night dinner stipends
• Access to Wellhub for discounted gym memberships, fitness classes, and mental health resources
• Annual stipend for professional development and continued learning
• $5,000 bonus for high performers at 5 years of service
• 401k benefit with eligibility starting day 1
• Dependent Care FSA
• Paid parental leave
• Fertility and adoption benefits via Carrot and Kindbody

Genius AI is committed to creating a diverse and inclusive workplace and is proud to be an Equal Opportunity and AffPay.