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Workiva

Senior AI Product Manager

Workiva

Senior AI Product Manager leading the execution and lifecycle management of AI/ML capabilities within Workiva’s platform. Collaborating with cross-functional teams to deliver high-performance enterprise tools.

Posted 6/5/2026full-timeRemote • Colorado, Montana, New York, South Carolina • 🇺🇸 United StatesSenior💰 $129,000 - $261,000 per yearWebsite

Tech Stack

Tools & technologies
Microservices

About the role

Key responsibilities & impact
  • Lead the execution, scale, and lifecycle management of machine learning and artificial intelligence capabilities within Workiva’s platform
  • Deeply understand and articulate a compelling product vision and strategy for AI/ML features, aligning with company objectives and market opportunities
  • Conduct in-depth market research, competitive analysis, and customer discovery to identify unmet needs and opportunities for AI-driven innovation
  • Develop detailed product roadmaps, user stories, and acceptance criteria for AI/ML initiatives, ensuring clear prioritization and measurable outcomes
  • Lead the end-to-end product lifecycle for AI/ML features, from ideation and validation to development, launch, and post-launch optimization
  • Drive the execution of product initiatives, ensuring timely and high-quality delivery of features that meet customer needs and business goals
  • Collaborate closely with engineering and data science teams to translate complex AI models and algorithms into intuitive, scalable, and performant product experiences
  • Champion a data-driven approach, utilizing metrics and analytics to inform product decisions and measure the success of launched features
  • Serve as the bridge between business needs and technical execution, possessing a strong understanding of AI/ML concepts, data pipelines, and scalable system architectures
  • Partner with sales, marketing, and customer success teams to develop effective go-to-market strategies, enablement materials, and compelling messaging for new AI features

Requirements

What you’ll need
  • 6+ years of product management experience in software development or related field
  • Proven track record of successfully shipping products that have achieved market adoption and business impact
  • Demonstrated experience managing product lifecycles from ideation through launch and iteration in an Agile development environment
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field
  • 2-3+ years specifically focused on AI/ML products or features within a B2B SaaS or enterprise software environment
  • Practical experience managing products that leverage Natural Language Processing (NLP), Large Language Models (LLMs), or automated agentic workflows
  • Technical literacy regarding data pipelines, dataset curation/labeling requirements, and core model evaluation metrics (e.g., precision, recall, latency)
  • Familiarity with enterprise software design principles, including microservices architectures and API-first product delivery
  • Demonstrated ability to convey technical constraints and algorithmic trade-offs clearly to non-technical business leaders and executive stakeholders
  • Strong analytical and problem-solving abilities, with a data-driven approach to decision-making
  • Ability to thrive in a fast-paced environment and manage multiple priorities effectively
  • Master's degree preferred
  • Certifications in product management or AI/ML preferred

Benefits

Comp & perks
  • A discretionary bonus typically paid annually
  • Restricted Stock Units granted at time of hire
  • 401(k) match and comprehensive employee benefits package

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
machine learningartificial intelligenceproduct managementAgile developmentNatural Language ProcessingLarge Language Modelsdata pipelinesdataset curationmodel evaluation metricsmicroservices architectures
Soft Skills
analytical abilitiesproblem-solvingcommunicationcollaborationprioritizationdata-driven decision-makingleadershipstrategic thinkingcustomer focusadaptability
Certifications
product management certificationAI/ML certification