AI Product Manager

Summary

Join Anaplan as a Product Manager to shape the future of AI in enterprise planning. This hands-on role involves developing configuration tooling, orchestration layers, and user interfaces for AI-driven workflows. You will work on foundational interfaces enabling customers to configure, manage, and scale AI capabilities. Collaborate across product areas to design and deliver extensible experiences for current and emerging AI capabilities. Define and deliver roadmap items, translate complex AI capabilities into intuitive interfaces, and design experiences supporting AI orchestration. Partner with stakeholders to scale AI capabilities and contribute to internal documentation and customer enablement. This role is crucial in democratizing AI across the enterprise, making complex functionality accessible to business users.

Requirements

• Product management experience in enterprise SaaS and AI/ML-based products
• Demonstrated experience working on technical products in cross-functional teams with engineering, design, and data science
• Familiarity with configuration tools, admin consoles, or platform experiences that enable non-technical users to build workflows

Responsibilities

• Define and deliver roadmap items for AI configuration tooling, in collaboration with engineering, design, and data science teams
• Translate complex generative AI and agentic capabilities into intuitive user interfaces for planning administrators and business users
• Design experiences that support AI orchestration, prompt templating, and agent behavior controls within enterprise workflows
• Partner closely with internal stakeholders across Product, Engineering, Pre-sales, and CoE teams to scale AI-powered capabilities across planning use cases
• Contribute to internal documentation, demos, and customer enablement materials to support adoption and onboarding
• Build tools that help customers manage prompts, AI logic, and configuration settings in a scalable, governed way
• Design admin consoles and workflow builders that make complex AI capabilities accessible to non-technical users
• Design and deliver the foundational product experiences that enable AI agents to autonomously reason about planning scenarios, execute complex multi-step workflows, and learn from user interactions to continuously improve decision-making capabilities
• Build intuitive interfaces that allow business users to define agent behaviors, set guardrails, and manage multi-agent collaboration within enterprise planning environments while maintaining full visibility and control over autonomous actions
• Develop semantic understanding capabilities through tagging, metadata, and contextual frameworks that enable AI agents to comprehend business context, organizational hierarchies, and planning relationships for more informed autonomous decisions
• Create seamless handoff experiences between human planners and AI agents, including delegation frameworks, approval workflows, and collaborative planning sessions where agents augment human expertise while allowing users to guide and control AI outputs with minimal technical input
• Support the underlying product infrastructure required to run reliable, secure, and scalable AI experiences for enterprise teams, ensuring robust foundations for both current configuration tools and future agentic capabilities

Preferred Qualifications

• Previous exposure to AI/ML systems, especially generative AI, large language models, or agent frameworks, is a strong advantage
• A strong interest in generative AI and emerging technology, with a practical understanding of AI prompts, orchestration, or agent design
• Comfort navigating ambiguity and breaking down complex systems into usable, intuitive product experiences
• A product mindset that balances innovation with real-world usability, scalability, and customer impact