Salarioo

Join our team at Workiva as a Machine Learning Engineering Manager! 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.

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! Learn more about Workiva's Generative AI and be part of shaping the future of ML with us.

What You’ll Do

Collaborate and Lead

• Collaborate closely with product teams to lead and develop engineers in owning API development, maintaining ML infrastructure, and seamlessly integrating 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

Vision and Strategy

• Help shape the ML vision at Workiva, focusing on integrating traditional ML and Data Science principles with Generative AI to augment our current product offerings

Ensure Reliability and Support

• 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

What You’ll Need

Required Qualifications

• 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

Preferred Qualifications

• Familiarity 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

Working Conditions

• Willingness to travel up to 25% for team and corporate meetings, fostering relationships and representing company interests 

• Reliable internet access for remote working opportunities

How You’ll Be Rewarded

✅ Salary range in the US: $120,000.00 - $204,000.00

✅ A discretionary bonus typically paid annually

✅ Restricted Stock Units granted at time of hire

✅ 401(k) match and comprehensive employee benefits package

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.

Workiva is an Equal Employment Opportunity and Affirmative Action Employer.  We believe that great minds think differently.  We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation.  Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic.  We strongly encourage and welcome people from historically marginalized groups to apply.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email [email protected].  

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

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