Senior Manager of ML Applied Science, Workiva
$200-320k
+ A discretionary bonus typically paid annually & Restricted Stock Units granted at time of hire
Software for sustainability, GRC & financial reporting
Be an early applicant
Software for sustainability, GRC & financial reporting
1001+ employees
Be an early applicant
$200-320k
+ A discretionary bonus typically paid annually & Restricted Stock Units granted at time of hire
1001+ employees
Company mission
To power transparent reporting for a better world.
Role
Who you are
- Bachelor’s degree in Computer Science, Engineering, or a related quantitative field (e.g., Statistics, Mathematics, Physics) or equivalent combination of education and experience. Preferred Masters degree in Computer Science or related fields
- 7+ years in ML engineering, applied science, or related software engineering experience
- 4+ years of experience in a people management role
- Proficiency in ML development cycles and toolsets
- Willingness to travel up to 25% for team and corporate meetings, fostering relationships and representing company interests
- Reliable internet access for remote working opportunities
Desirable
- Expertise with LLMs and related technologies
- Experience leading teams of 5+ people, preferably with diverse skill sets and specializations
- Proven experience leading teams in Agile and Sprint-based environments
- Proven experience working with product teams to integrate machine learning features into the product
- Solid experience in delivering SaaS products, specifically hosted in AWS, Azure, or GCP
- In-depth knowledge of Generative AI, traditional Machine Learning, and Data Science principles
- Excellent problem-solving skills, with the ability to address customer needs and improve product experiences
What the job involves
- Join our team at Workiva as a Senior Manager of ML Applied Science! 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
- Leveraging your applied science prowess, you'll tackle challenges related to LLM and ML based techniques to solve complex customer requirements in our various vertical domains
- You'll lead applied scientists through projects, address these challenges, and foster the career growth and skill development of your direct reports
- If you're passionate about pioneering the possibilities of Generative AI and want to be part of a team driving innovation at Workiva, we invite you to join us
- 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
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 18 more jobs at Workiva