Senior Product Manager, AI Initiatives

Imagine Learning is seeking a Senior Product Manager, AI Initiatives to lead the development of AI- and machine learning-powered products for educational technology. The role develops product vision and roadmaps, translates user and market needs into product decisions, and coordinates cross-functional teams to launch learning solutions that support business objectives.

Responsibilities:

• Solve customer problems by developing AI-powered educational products and leveraging technologies such as natural language processing, computer vision, and large language models
• Gather and analyze user needs through various methods (interviews, analytics, stakeholder input) to inform product decisions, emphasizing empathy and user-centric thinking in the educational context
• Research industry trends and competitive landscapes to develop informed backlogs and roadmaps, with a focus on emerging AI technologies in education
• Build and communicate a product vision and roadmap to diverse stakeholders, balancing multiple product needs and business units
• Collaborate with engineering teams to plan and prioritize work using agile methodologies, with a focus on outcomes and business value
• Coordinate cross-functionally with internal teams to develop and launch products, managing dependencies and leading communication with sales and marketing
• Engage with executive-level stakeholders and represent the team in company-wide planning, using strong communication skills to convey complex AI concepts clearly
• Other duties as required

Requirements:

• Master's degree in Education, Technology, Software Development, or related field, and at least 5 years of product management experience, with a focus on AI and machine learning solutions in education or related fields; or an acceptable combination of education and experience
• Proven experience building products using AI, including experience with recent advancements in Generative AI/LLMs (fine-tuning, retrieval augmented generation and common prompt engineering techniques)
• Experience building products powered by data, machine learning, artificial intelligence, generative AI, and emerging technologies, including design patterns for collecting human feedback
• Experience in defining AI-specific data strategies, including data collection, labeling, and synthetic data generation for machine learning models
• Expertise in defining success metrics and objective criteria, including model performance and educational outcomes
• Strong background in Agile methodologies, using tools like Jira and Confluence for project management and collaboration
• Proven ability to manage multiple stakeholders with competing priorities in a fast-paced environment
• Exceptional communication skills, with the ability to explain complex concepts to diverse audiences
• Demonstrated ability to balance technical knowledge with user empathy in educational technology products
• Ability to work independently and within a collaborative team environment
• Passion for innovative AI applications in education and a desire to make a positive impact in K-12 learning