EBSCO Information Services

Artificial Intelligence

• Develop and manage a complex AI sales pipeline through outbound sales efforts and close partnership with the sales team.
• Secure initial lighthouse customers to build credibility, prove value, and support future scalability.
• Define and refine AI value propositions by industry and use case, while contributing to pricing, packaging, and commercialization models.
• Train and support sales teams to position AI solutions effectively in the corporate market and participate in strategic deals as a specialist resource.
• Develop sales materials, messaging frameworks, and discovery approaches that improve field readiness and consistency.
• Partner with Publisher Services, Product, and Legal/Compliance to align offerings with partner capabilities, EBSCO capabilities, governance requirements, and market opportunities.
• Represent EBSCO in customer discussions and industry engagements, and support marketing initiatives through thought leadership and customer storytelling.

Corporate AI Solutions Sales Specialist

Support Engineer

• Effectively utilize customer support skills to maintain a positive working relationship between sales, its customers, and partners
• Demonstrate positive customer support skills validated by maintaining a high level of customer satisfaction
• Provide first-line diagnostic/troubleshooting support and technical expertise via phone and email to ensure customer satisfaction
• Answer customer questions and inquiries across the entire suite of EBSCO products
• Perform problem determination/problem source identification to understand the root cause of a customer’s issue
• Collaborate and negotiate with other support operations/organizations to prioritize and diagnose problems to resolution
• Instruct clients with an explanation of product features, installation, configuration, and deployment of product upgrades, both verbally and in writing
• Communicate action plans to the client or EBSCO representative as appropriate
• Troubleshoot and resolve specific product-related issues while maximizing customer satisfaction
• Conduct independent research in order to find solutions to customer problems
• Contributes to department attainment of organizational objectives and high client satisfaction

Technical Support Representative

Machine Learning Engineer

• Design, build, and maintain ML Ops pipelines supporting model training, validation, and deployment across AWS environments
• Implement automation for model packaging, testing, deployment, and monitoring using CI/CD best practices
• Collaborate with data engineers and data scientists to operationalize ML workloads within the data lakehouse ecosystem
• Develop and maintain integrations between data ingestion, feature stores, and model repositories
• Apply infrastructure-as-code (Terraform, AWS CDK, CloudFormation) to automate ML pipeline infrastructure
• Implement and manage model versioning, reproducibility, and lineage tracking using tools such as MLflow or SageMaker Model Registry
• Define and automate monitoring, alerting, and retraining strategies for deployed models
• Ensure all ML infrastructure and pipelines meet enterprise security, compliance, and governance standards
• Participate in code reviews, knowledge sharing, and continuous improvement of ML Ops practices
• Mentor junior engineers and contribute to documentation, standards, and best practices for ML Ops across teams

Senior MLOps Engineer

Security Engineer

• Provide direct line management for a team of security engineers (approximately 5–6), focusing on growth and mentorship, psychological safety, operational excellence, and measurable risk reduction.
• Work closely with product owners, engineering managers, and technical leads to embed security into planning and delivery, including threat modeling, security requirements, and secure design reviews.
• Partner with engineering leaders, architects, and delivery teams to define and evolve security architecture standards, reference designs, and secure-by-default patterns across the organization.
• Define, implement, and track security metrics (e.g., vulnerability SLAs, coverage of security testing, time-to-remediate, and control adoption) to monitor and improve security outcomes.
• Own and evolve cloud security posture practices, including identity and access management, network segmentation, secrets management, and configuration baselines, in partnership with infrastructure and platform teams.
• Stay abreast of the threat landscape, emerging vulnerabilities, and security engineering trends; translate them into pragmatic controls and engineering improvements.
• Provide timely, actionable feedback and coaching; create growth plans that build security engineering depth and leadership capability.
• Drive security automation across the SDLC, including SAST/DAST, dependency scanning (SCA), secrets scanning, and infrastructure-as-code scanning.
• Lead a pragmatic application security and vulnerability management program: triage findings, set remediation priorities with engineering, and track SLA performance.

Manager, Security Engineering

Software Engineer

• Assists the Desktop Engineering team members with daily tasks, endpoint monitoring and system remediation.
• Gain visibility into enterprise vulnerability scanning by shadowing the security team.
• Learn how device security baselines and configuration policies are implemented.
• Observe and assist with standard patching workflows for critical vulnerabilities.
• Participate in device provisioning, imaging, deployment, and decommissioning processes.
• Create and update internal documentation, runbooks, and knowledge base articles.
• Work alongside the Corporate IT Service Desk to support end users.
• Assist Desktop Support technicians with diagnosing and resolving workstation issues.

Desktop Engineering Intern

Administration

• Capture and update all contractual terms of a publisher licensing contract throughout the contract life cycle (from first signing, through amendments, to terminations)
• Analyze contractual term changes and their business impact
• Collaborate and Advise stakeholders of contractual terms
• Send Reports to internal parties detailing contractual terms
• Conduct quality control audits to find inaccuracies within the rights data capture
• Conduct regular audits to reinforce contractual compliance
• Assist with other duties related to contract activities as requested

Corporate AI Solutions Sales Specialist

Technical Support Representative

Senior MLOps Engineer

Manager, Security Engineering

Desktop Engineering Intern

Contract Administrator