ML Platform Manager - AI Modeling & Operations (Remote)

Workiva Inc.; Iowa (LA); Hybrid; USD 163,000 - 290,000; Full time

Benefits offered by this job

Discretionary bonus

RSUs

401(k) match

Comprehensive benefits

Job summary

Workiva is seeking a Manager of Machine Learning - AI Modeling and Operation to own the infrastructure powering AI features at scale. You will lead ML infrastructure, model operations, and AI quality—driving lifecycle management, evaluation, observability, and model routing across frontier providers.

You’ll manage a team of ML engineers, mentor staff, and collaborate with product squads to ensure production-ready, reliable AI services.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science or equivalent combination of education and experience.
• 7+ years total experience in software engineering and/or ML, with at least 2 years as an Engineering Manager.
• Experience with ML pipeline orchestration tools (ClearML, Kubeflow, Airflow, or similar).
• Hands-on background with Kubernetes, microservices, container orchestration, and infrastructure-as-code.
• Track record of improving reliability/availability metrics for production ML systems.
• Proven ability to manage senior individual contributors, resolve technical conflicts, and build a culture of psychological safety and high performance.
• Solid leadership skills in an Agile/Sprint working environment.
• 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 of models across environments.
• Drive observability across AI services: latency tracking, drift detection, cost monitoring, alerting.
• Establish SLOs/SLIs for AI services and lead incident response for ML-related production issues and maintain high service availability.
• Reduce complexity through simplification, automation, and thoughtful system design.
• Lead and grow an existing strong team of machine learning engineers.
• Provide hands-on coaching, performance feedback, and growth opportunities for engineers at varying experience levels.
• Foster a collaborative, inclusive, and high-ownership team culture grounded in trust, accountability, and continuous improvement.
• Partner with Intelligence pillar engineering squads and Product teams to ensure AI services are production-ready, observable, and scalable.
• Communicate complex technical issues to both technical and non-technical audiences effectively.
• Manage integrations with frontier model providers (AWS Bedrock, Azure OpenAI, Google) including model routing, load balancing, and fallback strategies.
• Drive AI analytics dashboards that give leadership and product visibility into platform health and usage.

Skills

Leadership

Communication

Agile/Sprint

Coaching

Education

Bachelor's degree in CS/Engineering/Data Science

Master's degree in CS/Engineering/Data Science

Tools

Kubernetes

Infrastructure as Code

ClearML

Kubeflow

Airflow

Datadog

Prometheus

Grafana

Job description

Workiva is seeking a Manager of Machine Learning - AI Modeling and Operation to own the infrastructure powering AI features at scale. You will lead ML infrastructure, model operations, and AI quality—driving lifecycle management, evaluation, observability, and model routing across frontier providers.

You’ll manage a team of ML engineers, mentor staff, and collaborate with product squads to ensure production-ready, reliable AI services.