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Engineering Manager – AI/ML
Location
United States
Posted
129 days ago
Salary
$163K - $261K / year
Seniority
Lead
Job Description
Engineering Manager – AI/ML
Workiva
• 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.
Job 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
- Master’s degree in Computer Science, Engineering, Data Science or equivalent combination of education and experience. (Preferred)
- Experience leading teams of up to 5 people, preferably with diverse skill sets and specializations (Preferred)
- Excellent problem-solving skills, with the ability to address customer needs and improve product experiences (Preferred)
- Background in cloud-native architectures (GCP, AWS, or similar). (Preferred)
- Familiarity with Kubernetes, microservices, and modern DevOps practices (Preferred)
Benefits
- A discretionary bonus typically paid annually
- Restricted Stock Units granted at time of hire
- 401(k) match and comprehensive employee benefits package
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