Engineering Manager AI/ML

Workiva Inc.

1d•$163,000 - $261,000

About The Position

Join our team at Workiva as an Engineering Manager of Artificial Intelligence and Machine Learning! As a pivotal member of our AI/ML team, your expertise will be instrumental in leading projects that demand innovative problem-solving, including the integration of cutting-edge Generative AI into our products. You will lead a high-impact team of machine learning and software engineers focused on building the intelligent backbone of the Workiva AI platform. You’ll foster an environment of technical excellence and growth, mentor talent, address challenges and collaborate with Product and Data Science to deliver "aha!" moments for our products and customers. Are you passionate about pioneering the possibilities of Generative AI? Join us and be a part of the team driving innovation and shaping the future of AI/ML at Workiva! Discover more about Workiva's Generative AI.

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science or equivalent combination of education and experience
7+ years of total experience in software engineering and/or Machine Learning, with at least 2 years of dedicated experience as an Engineering Manager
Strong understanding of ML development cycles and toolsets
Experience with core concepts of Generative AI such as RAG, Agentic frameworks, etc.
Solid experience in delivering SaaS products, specifically hosted in AWS, Azure, or GCP
Proven ability to manage senior individual contributors, resolve technical conflicts, and build a culture of psychological safety and high performance

Nice To Haves

Master’s degree in Computer Science, Engineering, Data Science or equivalent combination of education and experience.
Experience leading teams of up to 5 people, preferably with diverse skill sets and specializations
Solid leadership skills in an Agile/Sprint working environment
Proven experience working with product teams to integrate AI/ML features into a product
Excellent problem-solving skills, with the ability to address customer needs and improve product experiences
Background in cloud-native architectures (GCP, AWS, or similar).
Familiarity with Kubernetes, microservices, and modern DevOps practices

Responsibilities

Lead, mentor, and develop a team of machine learning and software engineers focused on building the intelligent backbone of the Workiva AI platform.
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.
Collaborate closely with Product, Program Management, UX and UXR to lead and develop engineers in owning development, maintaining AI & ML infrastructure, and seamlessly integrating Generative AI and Machine Learning features into products
Work with internal engineering teams and developers to understand integration needs and remove friction.
Communicate complex technical issues to both technical and non-technical audiences effectively.
Oversee the design, implementation, and maintenance of foundational AI/ML services
Guide architectural decisions to ensure platform scalability, reliability, and alignment with Workiva’s long-term technical vision.
Ensure engineering best practices around security, testing, operational excellence, and documentation
Drive improvements in latency, service availability, developer experience, and integration usability across internal and external interfaces
Maintain high service availability and performance across various ML services
Champion observability, incident response readiness, operational improvements and managing team’s support rotations
Reduce complexity through simplification, automation, and thoughtful system design