Senior AI Product Strategist
Listed on 2025-12-27
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IT/Tech
AI Engineer, Product Designer
Base pay range
$/yr - $/yr
Senior AI Product StrategistLocation:
St Louis Park, MN, USA
Our mission is to unlock human potential. We welcome you for who you are, the background you bring, and we embrace individuals who get excited about learning. Bring your experiences, your perspectives, and your passion; it’s in our differences that we empower the way the world learns.
About the roleWe’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.
Key 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
- 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. Bonus if candidate has python experience and/or has built POCs from the ground up before.
- 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…
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