Senior Manager of Center of Expertise

The Senior Manager, Center of Expertise will lead a team of elite product and domain experts who drive measurable outcomes on strategic customer engagements. You will lead a team of Domain Engineering Specialists (DES) who serve as subject matter experts across Veeam Data Platform (VDP), Veeam Data Cloud (VDC), Vault, and Kasten, as well as the broader cloud-native and AI/ML ecosystem surrounding them. This is a team that sets the standard—not just within Veeam, but across the industry—and the right leader will take pride in keeping it that way.

Your team partners with customer-facing teams to lead complex, large-scale technical onboardings involving intricate multi-environment architectures, data modeling, telemetry analysis, and risk discussions with C-suite stakeholders (CISO/CIO/CTO). You will align customer posture against the Veeam Data Resilience Maturity Model (DRMM) and industry frameworks (NIST CSF, CIS Controls, Zero Trust Architecture) to surface optimization opportunities and drive expansion. Success requires deep cross-functional alignment, the ability to manage competing priorities at scale, and a bias toward outcomes over activity.

Lead and develop a team of 6–10 Domain Engineering Specialists, investing genuinely in their growth through technical coaching, structured career development, and a culture where people feel challenged, valued, and proud of the work they do. Define and execute the team’s technical enablement roadmap, with a strong focus on emerging capabilities in AI/ML, cloud-native architectures, and cyber resilience. Own the team’s involvement in complex, large-scale customer onboardings—multi-environment migrations, hybrid and multi-cloud transformations, and enterprise-wide resilience deployments that require deep architectural engagement and precise coordination.

Coach specialists to deepen expertise in ransomware recovery, immutable storage, multi-cloud data protection, and Kubernetes-native backup—and create clear paths for them to grow into recognized experts inside and outside of Veeam. Build and scale a content and resource hub that extends the team’s reach beyond 1:1 customer engagements—including technical playbooks, reference architectures, self-service assessment tools, and evergreen enablement content. Develop and run high-impact customer engagement programs—webinars, roundtables, virtual workshops, executive briefings, and community forums—that position Veeam’s expertise in front of broader audiences and create scalable touchpoints across the customer lifecycle.

Establish and maintain the team’s position as a credible technical authority in conversations with customer engineering, architecture, and executive stakeholders. Drive process improvements and playbooks that scale impact without scaling headcount linearly. Monitor operational KPIs and use data to identify coaching opportunities, capacity gaps, and emerging risk patterns across the customer portfolio. Influence product and engineering roadmaps by synthesizing field-level insights into structured feedback loops. Build and maintain cross-functional relationships with Sales, Product, Engineering, and Customer Success to ensure coordinated customer outcomes. Serve as an executive-level escalation point for complex technical and strategic customer situations. Model and reinforce a high-performance culture anchored in intellectual curiosity, ownership, and genuine care for customers and teammates alike.

Benefits include unlimited paid time off, plus 3 global VeeaMe Days for self-care; paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents; medical, dental, and vision coverage from day one; fertility, adoption, and surrogacy support through Maven, plus paid volunteer time; 401(k) retirement plan with matching contributions up to annual limits; mental health support, therapy sessions, and digital wellness tools via SupportLinc EAP; AirVet: 24/7 virtual veterinary care at no cost; legal services, identity protection, and supplemental health insurance options; tax-advantaged spending accounts for healthcare, dependent care, and commuting; professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (LinkedIn Learning, Athena, O’Reilly) and mentoring through our MentorLab program.

This role is built for a technically fluent, decisive leader who thrives at the intersection of modern data protection, cloud infrastructure, and AI-driven operations—someone who can translate complex architectures into executive-level narratives and who genuinely cares about the people they lead and the customers they serve.

Qualifications:

• Hands‑on familiarity with AI and machine learning concepts, including how organizations are operationalizing AI workloads and the data infrastructure that supports them (data pipelines, model training environments, vector databases, LLMOps).
• Adaptable, high‑agency operator who sets direction without waiting for perfect information—and brings others along with them.
• Demonstrated ability to lead teams through ambiguity in fast‑moving, high‑growth environments.
• 4+ years of people management experience, with a track record of building and scaling high‑performing technical teams where culture is a competitive advantage, not an afterthought.
• Experience leading or owning large‑scale, complex customer onboardings with multiple stakeholders, integrated environments, and significant technical and organizational complexity.
• Ability to engage credibly in security framework discussions—Zero Trust, NIST CSF, CIS Controls, SOC 2, and regulatory environments (GDPR, HIPAA, FedRAMP).
• 8+ years of experience in technical customer success, solutions engineering, or related customer-facing technical roles—ideally within enterprise SaaS, cloud infrastructure, or data management.
• Proven ability to build scalable content programs—technical resource hubs, reference architectures, webinars, workshops—that extend expert knowledge to audiences well beyond direct engagement.
• Fluency in modern infrastructure concepts: hybrid cloud architectures, software‑defined storage, disaster recovery as code, and observability stacks.
• Deep expertise in data protection and cyber resilience—including ransomware recovery architectures, immutability strategies, air‑gapped backup, and recovery time/point objectives at enterprise scale.
• Strong working knowledge of major cloud platforms (AWS, Azure, GCP) and cloud‑native patterns—Kubernetes, containers, serverless, IaC (Terraform/Pulumi), and multi‑cloud data governance.
• Experience using data and telemetry to drive coaching decisions and team performance improvements.
• Strong executive communication skills—able to distill complex technical risk into business‑impact narratives for CISO, CIO, and board-level audiences.