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

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Hard Skills

machine learningartificial intelligenceproduct managementAgile developmentNatural Language ProcessingLarge Language Modelsdata pipelinesdataset curationmodel evaluation metricsmicroservices architectures

Soft Skills

analytical abilitiesproblem-solvingcommunicationcollaborationprioritizationdata-driven decision-makingleadershipstrategic thinkingcustomer focusadaptability

Tools & Technologies

B2B SaaSenterprise softwareAPI-first product deliverymetrics and analyticsproduct roadmapsuser storiesacceptance criteriago-to-market strategiesenablement materialscompetitive analysis

Certifications & Qualifications

product management certificationAI/ML certification

Industry Keywords

product lifecycle managementmarket adoptionbusiness impactscalable system architecturescustomer discoveryAI-driven innovationtechnical constraintsalgorithmic trade-offsfast-paced environmentexecutive stakeholders

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