ML Infrastructure & Operations Manager — Enterprise AI

Workiva, Inc.; United States; Hybrid; USD 163,000 - 290,000; Full time

Benefits offered by this job

Discretionary annual bonus

Restricted Stock Units (RSUs)

401(k) match

Comprehensive benefits package

Job summary

Workiva is seeking a Manager of Machine Learning - AI Modeling and Operation to own the infrastructure enabling reliable, observable AI features at scale. You will lead ML infrastructure, model operations, and AI quality, ensuring production readiness across model lifecycles, evaluation frameworks, and routing to frontier providers.

You will partner with cross-functional teams to deliver scalable, observable AI services, drive incident response, and mentor engineers in a high-ownership culture.

Qualifications

• 7+ years in software engineering and/or ML with at least 2 years in engineering management.
• Experience with ML pipeline orchestration tools (ClearML, Kubeflow, Airflow, or similar).
• Hands-on with Kubernetes, microservices, container orchestration, and IaC.
• Track record of improving reliability/availability of production ML systems.
• Proven ability to manage senior contributors and foster high-performance teams in Agile environments.
• Experience operating production ML systems in cloud environments (AWS, Azure, or GCP).

Responsibilities

• Own the ML model lifecycle: training pipelines, model registry, deployment, monitoring, and guardrails.
• Build and maintain CI/CD for ML - automated testing, evaluation, and promotion across environments.
• Drive observability across AI services: latency, drift, cost monitoring, alerting.
• Establish SLOs/SLIs and lead incident response for ML production issues.
• Reduce complexity through automation and thoughtful system design.

Skills

People leadership

Team management

Stakeholder communication

Agile leadership

Education

Bachelor's degree in CS/Engineering/Data Science

Master's degree preferred

Tools

Kubernetes

Container orchestration

Infrastructure as Code

ML pipeline orchestration (ClearML/Kubeflow/Airflow)

Job description

Workiva is seeking a Manager of Machine Learning - AI Modeling and Operation to own the infrastructure enabling reliable, observable AI features at scale. You will lead ML infrastructure, model operations, and AI quality, ensuring production readiness across model lifecycles, evaluation frameworks, and routing to frontier providers.

You will partner with cross-functional teams to deliver scalable, observable AI services, drive incident response, and mentor engineers in a high-ownership culture.