Manager, AI Operations

📋 Description

• Oversee deployment support, day-to-day reliability, monitoring, and production ops of AI systems
• Lead incident response, troubleshooting, root-cause analysis, and remediation for AI/ML services
• Partner with MLOps, Cloud Engineering, Infrastructure, Security, and IT to establish robust
• Build and maintain AI observability: drift detection, latency, uptime, logging, alerting, and
• Define production health metrics and dashboards for real-time visibility into performance and risks.
• Coordinate transitions from development to production with production-readiness reviews and

🎯 Requirements

• 7+ years in AI/ML ops, MLOps, production data science, or related; at least 2 years of people
• Hands-on experience operating traditional ML and Generative AI in production: deployment
• Strong observability practices: model drift, performance monitoring, logging, alerting, uptime
• Experience partnering with Security and Infrastructure on production risk, access controls, and
• Excellent communication and stakeholder management; ability to translate risks into business terms.
• Proven ability to lead teams, manage capacity, and establish scalable operational processes.

🎁 Benefits

• Comprehensive medical, dental, and vision insurance.
• 401(k) with company matching.
• Flexible paid time off and paid parental leave.
• HSA and FSA options; educational reimbursement.
• Employer-assisted mental health support and professional development opportunities.
• Collaborative culture with opportunities to impact AI ops and healthcare efficiency.