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Senior Product Manager, Artificial Intelligence/Machine Learning (AI/ML)

Ames

Summary

As the Senior Product Manager for Artificial Intelligence/Machine Learning (AI/ML), you will be responsible for identifying the most impactful problems and opportunities where AI and ML technologies can be applied. Your role demands a robust and up-to-date understanding of generative AI and machine learning technologies, coupled with a proven track record of successfully bringing products leveraging these technologies to market. 

As a Senior Product Manager for AI/ML, you will define and drive the end-to-end product vision and strategy for your area. You will work closely with customers to understand their needs and pain points and prioritize and sequence feature development and releases leading to significant and tangible business value. You will develop your ideas into real products that our customers use and love every day. You will build strong working relationships across multiple engineering, design, project management, and business teams, and work closely with senior leaders within product development and across the company. Throughout your work, you will champion the voice of the customer, maintaining an uncompromising commitment to delivering high-quality products.

What You’ll Do

  • Deeply understand the needs of our business and customers to build clarity on the requirements to build a resilient, reliable product

  • Influence stakeholders and engineers with the right data points by driving clarity and alignment

  • Create and drive alignment to execute faster, communicate often and highlight risk early

  • Collaborate extensively with cross-functional teams, including Engineering, User Experience, Customer Success,  and Go-to-market teams to drive the vision, roadmap and delivery of the product

  • You will be an expert in identifying long-term investment opportunities and engaging partners to garner support for those feature areas

  • Defines priority of outcomes, clarifies customer needs for the team, works with engineering to set deadlines for milestones, authors Objectives and Key Results (OKRs), and acts as a leader on their product team

  • You will own the roadmap for the product, and collaborate with internal and external stakeholder to execute the vision 

  • As an expert, you will partner with others to collect performance metrics and form hypotheses for complex technical needs in order to improve product development in multiple areas

  • Use your insights and knowledge from enterprise customers, as well as broad technical subject matter expertise, to train and enable a scalable product

What You'll Need
Minimum qualifications  

  • 6+ years of related experience in a product role in software or another related field 

  • Bachelor’s degree; an advanced degree may be considered in lieu of professional experience 

Preferred qualifications

  • Experience in developing and launching customer-facing AI/ML products

  • Working knowledge of Generative AI techniques and methods 

  • MBA degree

  • A proven track record of leading the development of product vision and strategy

  • Experience delivering software in an agile development environment using continuous deployment techniques

  • Shipped products with great customer experience user reviews

  • A self-starter mindset to execute in a fast-paced environment with minimal direction

  • An excellent understanding of product development and how web technologies work

  • Ability to work collaboratively in an environment that promotes constant team communication

  • Strong Leadership skills – the ability to influence and inspire across multiple teams and job functions

  • Excellent verbal and written communication skills

  • Strong analytical, problem solving, and prioritization skills

Travel Requirements & Working Conditions

  • Willingness to travel up to 20% for team and corporate meetings, fostering relationships and representing company interests  

  • Reliable internet access for any period of time working remotely, as we embrace flexible work arrangements

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 talentacquisition@workiva.com.
 

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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Job Profile

Regions

North America

Countries

United States

Benefits/Perks

401(k) match Comprehensive employee benefits package Discretionary bonus Employee benefits package Restricted Stock Units

Skills

Agile Agile Development AI/ML Analytical Artificial Intelligence Communication Customer Experience Customer Success Generative AI Go Innovation Leadership Machine Learning Management Product Development Project Management Security Strategy Training Web Technologies

Tasks
  • Collaborate with cross functional teams
  • Collect performance metrics
  • Define product roadmap
  • Drive alignment and execution
  • Influence stakeholders
  • Influence stakeholders and engineers
  • Train and enable scalable product
  • Training
  • Understand business and customer needs
Experience

6+ years

Education

Advanced degree Bachelor's degree Business Design Engineering MBA MBA Degree Related Field

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9