Senior Product Manager

Arizona State University•Tempe, AZ

8d•$95,000 - $110,000•Onsite

About The Position

Arizona State University's Learning Engineering Institute (LEI) is seeking a Senior AI Product Manager to lead the strategy, development, and evolution of AI-enabled products. This role involves working with interdisciplinary teams to define product vision, translate research into product strategy, and deliver data-driven solutions that improve learning experiences and educational outcomes. The position focuses on translating grant-funded research into scalable AI products, including those leveraging generative AI for active learning, AI-powered question generation for personalized learning, and privacy-preserving data platforms for AI research. The ideal candidate thrives in an AI-first, data-intensive environment and is passionate about transforming research into impactful products.

Requirements

Expertise in product lifecycle management, including product strategy, roadmapping, customer discovery, requirements definition, launch, and continuous iteration.
Strong understanding of artificial intelligence and generative AI technologies, including concepts such as embeddings, fine-tuning, prompt engineering, evaluation metrics, and the opportunities and limitations of large language models.
Demonstrated ability to build trusted relationships, influence stakeholders, and collaborate effectively across cross-functional teams in complex environments.
Outstanding communication skills with the ability to translate complex technical and research concepts for various audiences.
Strong analytical, strategic thinking, and problem-solving skills with experience using data, experimentation, and evidence-based decision making to guide product strategy and continuous improvement.
Demonstrated curiosity and commitment to staying current with emerging AI technologies and translating new capabilities into innovative product opportunities.
Proficiency with modern product management and collaboration tools, including Figma, Miro, Asana, Google Workspace, and presentation platforms.
Demonstrated ability to leverage AI to improve productivity, foster a positive team culture, uphold organizational values, and contribute to organizational effectiveness.
Bachelor's degree and five (5) years of experience appropriate to the area of assignment/field including two (2) years managerial experience; OR, Any equivalent combination of experience and/or training from which comparable knowledge, skills and abilities have been achieved.

Nice To Haves

Bachelor degree in Computer Engineering, Information Technology or related field and five (5) years experience in product management with at least two (2) years in a supervisory role; OR seven (7) years experience in product management with at least two (2) years in a supervisory role; OR any equivalent combination of experience and /or education from which comparable knowledge, skills and abilities have been achieved.
Experience managing the rollout, adoption, and change management of AI or enterprise digital products within a university or mission-driven organization.
Background or training in design, communications, product marketing, or user experience.
Familiarity with ethical AI principles and frameworks, particularly in higher education or public sector settings.
Experience working in matrixed or distributed organizations where collaboration, influence, and relationship building are essential.
Experience with open-source AI solutions, education technology platforms, or public engagement tools.
Demonstrated commitment to ASU's Charter through advancing, belonging, empathy, psychological safety, sustainability, and collaborative leadership.

Responsibilities

Build trusted relationships across LEI leadership, principal investigators, learning scientists, engineers, UX designers, data scientists, instructional designers, grant partners, and external collaborators.
Translate strategic priorities, grant objectives, learning science research, user needs, and market trends into prioritized product roadmaps, measurable success metrics, and outcome-based investments.
Lead multiple products and initiatives from concept through launch by defining requirements, managing priorities, dependencies, risks, and evolving scope.
Drive timely delivery through proactive communication, sound judgment, and accountability for outcomes.
Synthesize insights from learner research, faculty and partner engagement, learning analytics, and evidence-based research to define product requirements.
Collaborate across research, engineering, design, and leadership teams to deliver scalable AI-enabled solutions.
Communicate product vision, strategy, progress, and impact through presentations, demonstrations, and written materials.
Lead varied product launches, develop user guides and training resources, and partner across units to drive adoption through effective communication and change management.
Define product success through analytics, experimentation, and evidence-based evaluation.
Monitor product performance, measure impact and ROI, and use insights to guide continuous product improvement.
Demonstrate ownership by driving workstreams to completion, incorporating stakeholder feedback into product decisions, operating effectively in ambiguous environments, and producing clear, concise artifacts that support alignment and informed decision making.