Engineering Manager AI/ML

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 aboutWorkiva's Generative AI.

• 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

• 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

• 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

• Willingness to travel up to 15% for team and corporate meetings, fostering relationships and representing company interests

• Reliable internet access for remote working opportunities

How You'll Be Rewarded

A discretionary bonus typically paid annually

Restricted Stock Units granted at time of hire

401(k) match and comprehensive employee benefits package

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com.

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.