Senior AI Product Manager

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 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 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 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 Working Conditions & Travel Requirements Ability to travel up to 20% to meet with customers, stakeholders, and product teams at other Workiva locations Reliable internet connection required during remote work periods How You’ll Be Rewarded Salary range in the US: $129,000.00 - $261,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package 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. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email View email address on click.appcast.io. 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. #J-18808-Ljbffr Workiva