Engineering Manager, Workiva
AI/ML
$163-261k
+ a discretionary bonus typically paid annually and Restricted Stock Units granted at time of hire
More information about location
Software for sustainability, GRC & financial reporting
Be an early applicant
Software for sustainability, GRC & financial reporting
1001+ employees
Be an early applicant
$163-261k
+ a discretionary bonus typically paid annually and Restricted Stock Units granted at time of hire
More information about location
1001+ employees
Company mission
To power transparent reporting for a better world.
Role
Who you are
- 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
- Reliable internet access for remote working opportunities
Desirable
- 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
What the job involves
- Join our team at Workiva as an Engineering Manager of Artificial Intelligence and Machine Learning
- As a pivotal member of our AI/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
- You will lead a high-impact team of machine learning and software engineers focused on building the intelligent backbone of the Workiva AI platform
- You’ll foster an environment of technical excellence and growth, mentor talent, address challenges and collaborate with Product and Data Science to deliver "aha!" moments for our products and customers
- 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
Our take
For large-scale businesses, collecting and sharing data can be a complex and challenging process. Workiva solves this problem with its AI-powered data platform.
Workiva is one of the biggest players in the market, serving around 75% of Fortune 500 companies, including Google and Delta. Workiva's controlled, secure and audit-ready platform has maintained a clear edge over much of its competition.
Workiva's quality product and its commitment to transparency has made it a firm favourite with companies around the world. If it can maintain this, it stands to consolidate its impressive growth even further in the coming years.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
5% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Oct 2014
$0.7m
EARLY VC
Dec 2012
$30.7m
SERIES C
Total funding: $46.9m
Company HQ
Ames, IA
Leadership
Julie Iskow
(CEO)Julie joined Workiva in 2019 sa COO/President and became CEO in 2023. Previously, she served as the CTO at Medidate Solutions and as the CIO at WageWorks.
David Haila
(CTO)David has been at Workiva since 2009, joining the team as a Senior Software Engineer. Since then, he has held a number of roles and became CTO in 2023.
Jill Klindt
(CFO & EVP)Jill has been at Workiva since 2008, joining as a Controller before holding a number of roles and becoming CFO & EVP in 2023. Previously, she held Financial roles at Financial Intelligence, Wells Fargo Financial, CitiMortgage, and Principal Financial Group.
Share this job
View 30 more jobs at Workiva