Workiva · 11 hours ago
Engineering Manager AI/ML
United States
Full-time
Remote
Director/Executive
$163K/yr - $261K/yr
7+ years expWorkiva is seeking an Engineering Manager of Artificial Intelligence and Machine Learning to lead their AI/ML team. The role involves mentoring engineers, overseeing AI/ML service design, and collaborating with various teams to integrate Generative AI features into products.
AnalyticsBusiness Process Automation (BPA)Enterprise SoftwareGovernmentRisk ManagementSoftware
Responsibilities
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
Qualification
Required
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
Preferred
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
Benefits
A discretionary bonus typically paid annually
Restricted Stock Units granted at time of hire
401(k) match and comprehensive employee benefits package
Company
Workiva
Workiva created Wdesk, a cloud-based platform for enterprises to collect, manage, report, and analyze critical business data in real time.
1001-5000 employees
H1B Sponsorship
Workiva has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (3)
2023 (1)
2022 (3)
2021 (1)
2020 (5)
Funding
Current Stage
Public CompanyTotal Funding
$680.58MKey Investors
Bluestem Capital
2023-08-14Post Ipo Debt· $625M
2014-12-12IPO
2014-10-17Series Unknown· $0.69M
Leadership Team
Julie Iskow
President & CEO
Penny Ashley Lawrence
SVP, CPX (Customer & Partner Experience)
Recent News
2026-01-22
2026-01-07
The Motley Fool
2025-12-31
Company data provided by crunchbase