Workiva

Senior AI Product Manager

Workiva

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $129,000 - $207,000 per year

Job Level

Senior

Tech Stack

Microservices

About the role

  • 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 end-to-end product lifecycle for AI/ML features: ideation, validation, development, launch, and post-launch optimization
  • Drive execution of product initiatives, ensuring timely and high-quality delivery that meets 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
  • Contribute to technical discussions and architectural decisions, ensuring product requirements are technically feasible
  • Partner with sales, marketing, and customer success on go-to-market strategies, enablement materials, and messaging
  • Gather feedback from internal and external stakeholders and present product strategies and updates to executive leadership

Requirements

  • 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: 3+ years specifically focused on AI/ML products or features within a B2B SaaS or enterprise software environment
  • Strong understanding of AI/ML concepts, methodologies, and their practical applications (e.g., NLP, predictive analytics, generative AI, agentic workflows)
  • Familiarity with data collection, labeling, model training, deployment, and monitoring for scalable AI solutions
  • Understanding of modern software architecture principles, including microservices
  • Exceptional communication, presentation, and interpersonal skills
  • Strong analytical and problem-solving abilities, with a data-driven approach
  • Ability to thrive in a fast-paced, ambiguous environment and manage multiple priorities effectively
  • Master's degree preferred
  • Certifications in product management (e.g., Pragmatic Marketing) or AI/ML
  • Ability to travel up to 20%
  • Reliable internet connection required during remote work periods
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