Senior AI Product Manager

Location: New York

## Senior AI Product Manager Apply locations:
USA - Remote:
New York City:
Charleston:
Bozeman:
Denver posted on:
Posted Todaytime left to apply:
End Date:
August 31, 2026 (30+ days left to apply) job requisition :
R11885

Workiva is seeking a
** Senior AI Product Manager
** to lead the execution, scale, and lifecycle management of machine learning and artificial intelligence capabilities within Workiva’s platform. In this role, you will bridge the gap between advanced data science and practical customer value, translating complex AI capabilities into tangible business value for our customers, with a strong emphasis on shipping impactful products from conception to widespread adoption. You will collaborate directly with engineering, data science, and design teams to deliver high-performance enterprise tools that maximize platform intelligence and user efficiency.
**** What You’ll Do
***** Product Strategy & Vision
** 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
* Product Lifecycle Management & Delivery
** 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
* Technical Acumen & Collaboration
** Serve as the bridge between business needs and technical execution, possessing a strong understanding of AI/ML concepts, data pipelines, and scalable system architectures
* Engage deeply with engineering teams, understanding the technical complexities and trade-offs involved in building enterprise-grade AI solutions
* Contribute to technical discussions and architectural decisions, ensuring product requirements are technically feasible and align with our platform's underlying infrastructure
* Stakeholder Engagement & Go-to-Market
** Partner with sales, marketing, and customer success teams to develop effective go-to-market strategies, enablement materials, and compelling messaging for new AI features
* Gather feedback from internal and external stakeholders, acting as the voice of the customer within the product development process
* Present product strategies, roadmaps, and updates to executive leadership, customers, and other key stakeholders
**** What You’ll Need
**** Minimum Qualifications
* 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 life cycles 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

Preferred Qualifications
* 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…