Top Tech Jobs & Startup Jobs

Senior individual contributor Product Manager for cloud-native data protection. Partner with engineering, customers, and partners to define and ship Kubernetes and virtualization data-protection features, build demos and proofs of concept, measure success metrics, and strengthen ecosystem integrations. Engage sales and field teams, evangelize externally, and iterate based on feedback.

Provide high-level executive support to the Chief Marketing Officer: manage complex calendars across time zones, coordinate travel and expenses, handle confidential information, organize company events and onsite experience, collaborate cross-functionally, and support inclusion, diversity, and equity initiatives. Maintain office supplies and partner with the EA team and office manager to ensure smooth operations.

The Senior Revenue Intelligence Operations Manager drives operational efficiency and analytics in marketing for Veeam, supporting revenue goals and managing cross-functional projects to enhance field marketing effectiveness.

Lead hyperscaler integration strategy (AWS, Azure, GCP) for Veeam, represent partnerships, influence cross-product roadmaps, mentor product advisors, resolve complex integration escalations, advocate architectural standards, and engage industry stakeholders through presentations and advisory work.

Serve as customers' primary technical advisor for a portfolio of enterprise accounts. Drive activation, adoption, optimization, resilience assessments, recovery readiness, and executive business reviews. Build tailored success plans, identify risks and expansion opportunities, coordinate cross-functional teams, and deliver strategic guidance on data protection, cloud adoption, and cyber resilience to support renewal and growth.

Build and run Gov/Sovereign cloud SRE for Veeam Data Cloud: document platform, define SLIs/SLOs, run incident response, close observability gaps, design resilient Azure infrastructure, automate IaC/CI/CD pipelines, support on-call, and collaborate with security/compliance teams to operationalize reliability.

Lead engineering for the Knowledge Graph and hyperscale data lake integrations, setting architecture, schema, and performance standards. Manage multiple teams to build enterprise-scale graph systems, data connectors, query tuning, and AI-first engineering practices. Own roadmap delivery, operational readiness, incident learning, and hiring/coaching of engineering leaders.