Hybrid Strategic Engagement Manager – AI Solutions

at RELX

• Job title: Strategic Engagement Manager – AI Solutions
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $108,339 - $173,061 per year
• Degree requirement: Postgraduate Degree
• Location requirements: Hybrid, United States

About the role

• Strategic Engagement Manager for Elsevier AI Solutions enhancing adoption among national governments and research institutions. Collaborating with Account Managers to drive AI solution sales and customer relationships.

Responsibilities

• Proactively cultivate adoption of Elsevier AI solutions at national and consortia level “control points” over long-term sustained engagements
• Develop large-scale, strategic A&G deals on behalf of Elsevier’s full AI portfolio, including LeapSpace, ReaxysAI, ScopusAI, Engineering AI, and upcoming AI workflow solutions.
• Partner with Account Managers during sales as the AI technical expert: deliver tailored demos and localized outcomes-driven use cases; build customized solution proposals that integrate AI solutions with the broader A&G Solutions portfolio; own the AI-related technical and methodological components in RFPs/tenders; and address AI governance, transparency, compliance, and ethics.
• Post-sale, provide the framework and critical success factors for ongoing and increasing customer value over time, and provide ongoing advisory support to grow relationships with large-scale accounts, helping customers expand their use of Elsevier AI solutions.
• Advise the global business on regional and worldwide market trends in academic and research AI, competitor activities, and strategic priorities for continued growth in large-scale global sales opportunities.
• Bring broad expertise including deep knowledge of Academic & Government markets, strong technical acumen, excellent sales and communication skills, and the ability to manage complex, consultative projects over time.

Requirements

• Advanced degree (Master’s or Doctorate) in science or business preferred.
• 3–5 years of experience in AI/ML solution consulting, research workflow technologies, or complex SaaS pre-sales, ideally in academic or government markets.
• Knowledge of AI applications in research discovery, knowledge management, analytics, or higher education.
• Ability to translate customer needs into deliverable commercial solutions.
• Experience engaging senior institutional leaders, government/national bodies, and technical stakeholders.
• Excellent communication, networking, and presentation skills, especially when explaining AI concepts to non-technical audiences.
• Familiarity with research administration, academic workflows, funding processes, or scholarly communication is a plus.
• Experience in a matrixed, international environment.
• Highly self-driven, consultative, with strong sales execution abilities.

Benefits

• country specific benefits
• fair and accessible hiring process
• support for individuals with disabilities