Engineering Manager AI/ML

• Lead, mentor, and develop a team of machine learning and software engineers focused on building the intelligent backbone of the Workiva AI platform.
• 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.
• Oversee the design, implementation, and maintenance of foundational AI/ML services and guide architectural decisions to ensure platform scalability, reliability, and alignment with Workiva's long-term technical vision.
• Maintain high service availability and performance across various ML services, champion observability, incident response readiness, and operational improvements.

This role drives innovation and shapes the future of AI/ML at Workiva by leading projects that integrate cutting-edge Generative AI into products, creating 'aha!' moments for customers and advancing the company's AI platform.

• 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, and proven ability to manage senior individual contributors.

• Salary range in the US: $163,000.00 - $261,000.00
• A discretionary bonus typically paid annually
• Restricted Stock Units granted at time of hire
• 401(k) match and comprehensive employee benefits package
• Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment

Workiva is a company focused on developing AI and machine learning solutions, including Generative AI integration into their products, with a commitment to security, privacy, and inclusive employment practices.