Senior Machine Learning Engineering Manager, Workiva

• Bachelor’s degree in Computer Science, Engineering or equivalent combination of education and experience
• Minimum of 4 years in ML engineering or related software engineering experience
• Proficiency in ML development cycles and toolsets
• Reliable internet access for remote working opportunities

Desirable

• Join our team at Workiva as a Senior Manager of Machine Learning! As a pivotal member of our Machine Learning (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
• Leveraging your engineering prowess, you'll tackle challenges related to availability and scaling, ensuring the long-term stability of our systems. You'll lead engineers through projects, address these challenges, and foster the career growth and skill development of your direct reports
• Collaborate closely with product teams to lead and develop engineers in owning API development, maintaining AI & ML infrastructure, and seamlessly integrating Generative AI and machine learning features into products
• Work closely with cross-functional stakeholders, including Product and other engineering teams, to align goals and deliverables
• Support technical leadership, coach and guide ML engineers and scientists aligned with the technical leaders of team
• Manage and lead the Machine Learning and Generative AI team balancing diverse skill sets consisting of ML scientists, ML engineers, and full stack software engineers
• Communicate complex technical issues to both technical and non-technical audiences effectively
• Collaborate with software, data architects, and product managers to design complete software products that meet a broad range of customer needs and requirements
• Manage the team within an agile development environment, ensuring timely and high-quality delivery of SaaS products
• Help shape the AI & ML vision at Workiva, focusing on integrating traditional ML and Data Science principles with Generative AI to augment our current product offerings
• Be accountable for the team's on-call rotations, providing 24x7 support for all of Workiva’s SaaS hosted environments
• Address customer requests and feedback, continuously improving the user experience across multiple solutions and problem spaces

• End Date: May 9, 2025