• Collaborate closely with product teams to lead and develop applied scientists in owning advanced solutions including RAG, Agent based workflows, and model tuning 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 the team • Manage and lead AI/ML teams 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