Senior Sales Engineer - AI/ML Solutions

Job Description:

Senior Sales Engineer - AI/ML Solutions

Location:

Hoboken (HQ), NJ, 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 Role:

Wiley's AI Growth team is seeking a Senior Sales Engineer, AI/ML Solutions to accelerate the adoption of AI-powered research tools across corporate R&D departments. The AI Growth team is building next-generation AI solutions: including RAG-based research discovery, literature synthesis, and intelligent AI agents to transform how researchers discover, evaluate, and create scholarly content while driving sustainable AI revenue growth and establishing Wiley as a trusted AI partner in the research ecosystem.

The Sales Engineering function within the AI Growth team is critical to this customer facing effort by translating complex AI capabilities into tangible value for research stakeholders, architecting solutions that integrate seamlessly with existing corporate research workflows, and validating technical feasibility through hands-on proof-of-concepts. Sales Engineers serve as the technical bridge between Wiley's AI product capabilities and customer research needs, ensuring our solutions deliver measurable impact on research velocity, publication quality, and knowledge discovery. More specifically this person will own life‑sciences POCs that measurably improve literature surveillance/systematic review, regulatory evidence packages, and competitive intelligence, integrating with common research stacks and aligning with regulatory expectations

Reporting to the Director of AI Product Management, this role will drive revenue growth and customer success by serving as the primary technical advisor to prospective customers throughout 12-18 month enterprise sales cycles. It will deliver compelling technical demonstrations of RAG systems, vector databases, LLM orchestration frameworks, and AI agent architectures tailored to corporate research workflows, including literature discovery, peer review optimization, and automated research assistance. The role will architect and execute proof-of-concepts that validate AI value propositions with corporate customers ranging from pharmaceutical companies, biotechnology firms, healthcare institutions, medical device manufacturers, and corporate R&D organizations. In addition, it will partner closely with Account Executives to develop technical proposals, respond to RFPs, and address security and compliance requirements specific to life sciences and healthcare environments, while serving as the voice of the customer to Product and Engineering teams to inform roadmap priorities.

Technical Demonstrations & Sales Enablement: Deliver compelling live demonstrations communicating the value of our AI data solution within RAG systems, vector databases, LLM orchestration frameworks, and AI agent architectures to prospective customers throughout the sales cycle; collaborate with Account Executives on deal strategy, technical discovery; qualify technical fit and budget authority; navigate complex stakeholder groups including IT, security, legal, and research leadership; and guide product marketing to create customized sales collateral and competitive positioning materials.

Proof-of-Concept Design & Execution: Architect and implement 3-6 month technical POCs that validate AI solution performance against customer success criteria, including agentic RAG workflows, multi-database orchestration, and integration with existing research infrastructure.   

Technical Advisory & Solution Architecture: Serve as trusted technical advisor throughout 12-18 month sales cycles, architecting AI solutions that address complex research workflows for pharmaceutical, biotech, and healthcare customers while ensuring seamless integration with legacy systems and compliance with industry regulations.

Customer Intelligence & Product Feedback: Gather detailed customer insights, competitive intelligence, and feature requirements through prospect engagements; synthesize patterns and themes; advocate for customer needs with Product and Engineering teams to inform roadmap priorities.

AI Agent Solutions Design: Demonstrate and architect AI agent solutions that autonomously execute complex research tasks using multi-agent systems, agentic RAG patterns, tool-based actions, and conversational memory—including systematic literature reviews, competitive intelligence, regulatory analysis, and multi-step scientific inquiry workflows.

Thought Leadership & Content Creati