Senior Machine Learning Engineering Manager, Workiva

$175-280k

+ A discretionary bonus typically paid annually; + Restricted Stock Units granted at time of hire

AWS

GCP

Azure

Mid and Senior level

Remote from US

More information about location

Software for sustainability, GRC & financial reporting

Job no longer available

Software for sustainability, GRC & financial reporting

1001+ employees

B2BEnterpriseComplianceAnalyticsData AnalysisCloud Computing

Job no longer available

$175-280k

+ A discretionary bonus typically paid annually; + Restricted Stock Units granted at time of hire

AWS

GCP

Azure

Mid and Senior level

Remote from US

More information about location

1001+ employees

B2BEnterpriseComplianceAnalyticsData AnalysisCloud Computing

Company mission

To power transparent reporting for a better world.

Job

Company

Role

Who you are

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

Experience with Generative AI
Experience leading teams of 5+ people, preferably with diverse skill sets and specializations
Strong leadership skills in an Agile/Sprint working environment
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 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

Application process

End Date: May 9, 2025

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

Led by a woman

5% employee growth in 12 months

Glassdoor (4.4)

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.

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