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Supports Veeam’s Voice of the Customer and customer experience programs through survey analysis, qualitative feedback review, trend identification, insight synthesis, action planning, documentation, and stakeholder-ready presentations. The intern will consolidate customer feedback, maintain project trackers, support cross-functional coordination, and connect customer insights to business priorities and improvement opportunities.

Supports Center of Expertise initiatives across internal engagement playbooks, external communications, enablement collateral, Knowledge Hub governance, webinars, and analytics. The intern will create documentation and content, analyze data, support communications and webinars, develop recommendations, and help customer-facing teams access reusable resources. The role provides exposure to program management, content strategy, knowledge management, communications, and AI-enabled workflows within a cybersecurity software company.

Analyze operational and customer feedback data to identify trends, customer friction, and performance insights. Build dashboards and reports for leadership, translate findings into recommendations, and create reusable briefs, templates, enablement materials, and documentation. Support program initiatives by tracking milestones and stakeholder inputs, then present findings and deliverables to leadership at the internship’s conclusion.

Build and test AI-driven tools, agents, and workflow automations that reduce manual effort and improve internal feedback loops. The intern will identify automation opportunities, evaluate AI platforms and frameworks, connect systems through APIs and scripting, document solutions, and present results to leadership. The role is part of a 10-week summer internship program focused on practical, maintainable solutions.

Train and evaluate machine learning and deep learning models, diagnose training and generalization issues, conduct experiments, and develop reusable research tooling. The intern may work on LLMs, transformers, generative AI, fine-tuning, and evaluation workflows while rapidly prototyping with AI-assisted development tools. The role requires advanced quantitative coursework and graduate study in computer science, AI, machine learning, statistics, applied mathematics, data science, electrical engineering, or a related field.

Develop and test cloud-native backup and disaster recovery features for Kasten K10. Create design documents, conduct design reviews, prepare test plans, and build CI/CD testing pipelines. The internship emphasizes scalable, multithreaded and concurrent systems, distributed systems, client-server architectures, code quality, testing, and automation, with potential work involving Go, databases, cloud storage, containers, orchestration platforms, and open source.

Support customer success activities by renewing expired accounts, calling customers to win them back, managing team inboxes, and identifying upsell and cross-sell opportunities. Interns will shadow Customer Success Specialists and participate in onboarding, professional development, networking, and social activities during a 10-week summer program.

Lead testing for complex Salesforce and enterprise integrations: design and execute end-to-end and integration tests, manage defect lifecycle, define quality gates, assess release readiness, analyze quality metrics, drive test process improvements, mentor junior QA engineers, and collaborate with cross-functional teams to ensure release quality.

Provide commercial legal support to global sales: draft, review and negotiate SaaS/software/channel agreements; advise on privacy, risk, and compliance; develop templates, playbooks, and training; partner with Sales and Deal Desk to resolve issues and escalate complex matters.

Own the vision, roadmap, and customer experience for Veeam’s Knowledge Graph, reporting, dashboards, analytics, and evidence capabilities. Translate complex graph data into actionable views for security, privacy, governance, and executive users. Lead metrics, reporting quality, APIs, BI integrations, AI-agent consumption, query experiences, and enterprise-scale performance requirements. Partner with engineering, design, AI, marketing, and support while conducting enterprise customer discovery and using AI-assisted tools to accelerate product development.