Product Manager
Leads AI/ML product strategy and delivery for an enterprise platform, translating data science innovations into customer‑focused solutions, working closely with engineering, design, and data teams to ship scalable, high‑impact features.
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+ yea
Posted June 24, 2026