AI Product Strategy

• Define and articulate a compelling AI vision and strategy that capitalizes on Noodle’s expertise in the operations and data created across the learner journey.

Roadmap Development

• Working with Product Team leadership, develop and maintain a clear, prioritized AI product roadmap, connecting strategic goals for our AI products and the AI features of our proprietary platforms.

Research & Analysis

• Conduct thorough research of market trends, AI use amongst colleagues, and AI use amongst partners to identify unmet needs and emerging trends to ensure Noodle products and internal AI adoption are always on the leading edge of innovation.

Requirements Definition

• Translate user needs, business requirements, and technical constraints into detailed product specifications, user stories, and acceptance criteria for AI products and features.

Agent Design

• Use research and requirements to design agents on Noodle’s proprietary agent building platform by writing and iterating prompts, selecting toolsets, specifying required data connectors, and more.

Cross-Functional Collaboration

• Work closely with product colleagues, engineering, data analysis, design, service, and partnerships teams throughout the software development lifecycle, from ideation to launch and post-launch optimization.

Technical Acumen

• Understand the capabilities and limitations of various AI technologies as well as roadmaps for companies providing Large Language Models to effectively recommend models for use in Noodle contexts, and communicate technical concepts to non-technical stakeholders.

Data-Driven Decision Making

• Utilize data and analytics to inform product decisions, measure product performance, and identify areas for improvement.
• Define key metrics and KPIs for AI product success.

Go-to-Market

• Collaborate with marketing, sales, and operations teams to develop and execute successful go-to-market strategies for new AI products and features.

Risk Management

• Identify and mitigate potential risks associated with AI development, including ethical considerations, data privacy, and model bias.

Additional Duties

• Perform other duties as assigned.

Requirements

• 3+ years of product experience, with at least 1-2 years focused specifically on AI-powered products.
• Proven track record of successfully launching and scaling AI products that deliver significant value.
• Strong understanding of the AI development lifecycle, including data collection, model training, deployment, and monitoring.
• Experience with various AI technologies and their applications in real-world products.
• Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.
• Strong analytical and problem-solving abilities, with a data-driven approach to product management.
• Working knowledge of Google Workspace (Docs, Slides, Sheets).
• Ability to work effectively in a dynamic, rapidly changing, team-based environment.