Senior AI Product Strategist

Wiley•Saint Louis Park, MN

About The Position

We're seeking a Senior AI Product Strategist to lead the design and development of enterprise AI products from concept through production deployment. This role requires a unique blend of strategic product thinking, business acumen, cross-functional team coordination, and a strong understanding of AI technologies to build scalable AI solutions in workplace learning environments. The ideal candidate will shape the vision and roadmap for AI-powered B2B products and work with architects, developers, and other cross-functional teams to drive the vision forward. You'll balance rapid delivery, profitable AI product strategy, and legal, compliance, security, bias and regulatory alignment. Although this is first and foremost a product strategy position, a technical background with engineering abilities is a plus.

Requirements

Degree in Computer Science, Linguistics, AI/Machine Learning, Engineering, or related field preferred
5+ years leading AI and/or technical product development from concept through production launch. Experience with building both 0 – 1 (from scratch) and continuous improvement /iterative improvement.
Familiarity with generative AI, large language models, RAG architecture, vector databases, semantic search, and prompt engineering techniques.
Proven ability to lead cross-functional teams in delivering innovative AI-powered products
Ability to collaborate effectively with technical teams and understand platform capabilities
Demonstrated ability to train and enable cross-functional teams with no prior AI experience, translating complex technical concepts across organizational levels
Experience developing AI governance frameworks, risk management documentation, and compliance protocols aligned with industry standards
Strong stakeholder management and executive communication skills with track record of securing buy-in through data-driven business cases
Proven ability to write comprehensive documentation, strategic roadmaps, and product specifications
Strong decision-making skills balancing speed to market, technical feasibility, risk management, and cost optimization
Ability to work effectively with diverse teams including engineers, data scientists, content specialists, legal, and business stakeholders with minimal supervision
Understanding of AI safety, bias testing, fairness evaluation, data privacy, and security protocols for responsible AI implementation
Experience with agile methodologies, sprint planning, cross-functional coordination, and managing competing priorities
Commitment to responsible AI development, ethical implementation, continuous learning, and adapting to evolving AI landscape

Nice To Haves

Bonus if candidate has python experience and/or has built POCs from the ground up before.

Responsibilities

Define product requirements and collaborate with technical teams to deliver AI capabilities such as retrieval-augmented generation (RAG) and semantic search
Lead complete AI product development lifecycle from concept to production deployment, including authoring product documentation, defining success metrics, and managing cross-functional execution
Work with other product team members to incorporate AI throughout Wiley’s suite of workplace learning solutions.
Partner with UX, content, and engineering teams to shape conversational experiences and prompt strategies
Author comprehensive AI governance frameworks including risk management, ethics guidelines, safety guardrails, and compliance documentation aligned with industry standards
Ensure quality standards are met through collaboration with QA and data teams
Train and enable cross-functional teams (engineering, content, QA, legal, data science) in AI-first practices, translating complex technical concepts for non-technical stakeholders
Align product vision with pricing, technical feasibility and content strategy
Present AI strategy and product progress to executive leadership, secure buy-in for strategic decisions, and manage stakeholder alignment across competing priorities
Influence architectural decisions through product strategy and business impact analysis
Establish data collection and analytics frameworks for user interaction patterns, performance monitoring, and continuous improvement feedback loops
Ensure product documentation supports scalability, adoption, and cross-functional understanding
Collaborate with engineering to ensure cost-effective and scalable AI solutions
Work closely with data teams to align product goals with data strategy and insights
Coordinate with legal, compliance, and security teams on data privacy protocols, bias testing, fairness evaluation, and regulatory alignment