Senior Product Manager

Arizona State University•Tempe, AZ

10d•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 continuous evolution of AI-enabled products that advance learning and educational outcomes. The role translates research, user insights, strategic priorities, and grant objectives into product vision, roadmaps, requirements, success measures, and scalable solutions. It supports a portfolio of strategic, grant-funded research and innovation initiatives, including generative-AI-enhanced active learning, AI-powered question generation and personalized learning pathways, and privacy-preserving educational data platforms using synthetic data. The position works with interdisciplinary teams and stakeholders including LEI leadership, principal investigators, research scientists, learning scientists, engineers, UX designers, developers, data scientists, instructional designers, grant partners, and external collaborators. The product manager leads initiatives from concept through launch, manages priorities and risks, communicates product direction and impact, supports launches and adoption, and uses analytics, experimentation, and evidence-based evaluation to guide ongoing improvement. The role is based at ASU's Tempe Campus. Work is primarily performed in a regular, climate-controlled office setting and involves extended periods of sitting or standing and daily use of a desktop or laptop computer. Driving is not required.

Requirements

Bachelor's degree and five years of experience appropriate to the assignment or field, including two years of managerial experience; or an equivalent combination of experience and/or training.
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, including embeddings, fine-tuning, prompt engineering, evaluation metrics, and the opportunities and limitations of large language models.
Ability to build trusted relationships, influence stakeholders, and collaborate across cross-functional teams in complex environments.
Outstanding communication skills and ability to translate complex technical and research concepts for different audiences.
Strong analytical, strategic-thinking, and problem-solving skills, with experience using data, experimentation, and evidence-based decision making to guide product strategy and improvement.
Curiosity and commitment to staying current with emerging AI technologies and translating new capabilities into product opportunities.
Proficiency with modern product management and collaboration tools, including Figma, Miro, Asana, Google Workspace, and presentation platforms.
Ability to leverage AI to improve productivity, foster a positive team culture, uphold organizational values, and contribute to organizational effectiveness.

Nice To Haves

Bachelor's degree in Computer Engineering, Information Technology, or a related field and five years of product management experience, including at least two years in a supervisory role; or seven years of product management experience, including at least two years in a supervisory role; or an equivalent combination of experience and/or education.
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 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 with 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 and managing priorities, dependencies, risks, and evolving scope.
Drive timely delivery through proactive communication, sound judgment, and accountability for outcomes.
Synthesize 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 product launches, develop user guides and training resources, and partner across units to drive adoption through communication and change management.
Define product success through analytics, experimentation, and evidence-based evaluation; monitor performance, measure impact and ROI, and use insights to improve products.
Drive workstreams to completion, incorporate stakeholder feedback into product decisions, work effectively in ambiguous environments, and produce clear artifacts that support alignment and informed decision making.