Veeamsoftware

Lead Customer Success Engineer - Data & AI Security

Veeamsoftware

London, England, United Kingdom · Full Time

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Experience
Any
Salary
—
Openings
1
Posted
1 week ago
Work mode
In office
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Job description

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

About the Role

The ideal candidate will be naturally collaborative, articulate, extremely organized, have a solid technical understanding of Veeam's Securiti AI solutions, and be motivated by maximizing customer success and outcomes. Soft skills combined with technical skills are key in this role. As a Lead Customer Success Engineer, you are the primary technical owner driving long-term customer outcomes across the Securiti Data Command Center platform. You'll lead onboarding, adoption, and optimization; proactively identify churn risk and upsell opportunities; and apply deep expertise in DSPM, Privacy, Data Security, and AI Governance to deliver measurable customer value.

What You’ll Do

  • Setup customer accounts; facilitate onboarding; orient stakeholders; walk through administration portals; introduce support channels. 
  • Identify expansion opportunities; analyze platform usage and customer environments; conduct success planning and strategy sessions; align business outcomes with product adoption. 
  • Conduct assessments; recommend solutions and architectures across DSPM, Privacy, Data Security, and AI Governance offerings. 
  • Perform technical health checks; assess data security, privacy, and AI governance posture; deliver quarterly value and adoption reviews. 
  • Monitor signals to detect churn risk early; define mitigation plans; partner on renewal strategy with actionable technical insights. 
  • Build business cases; define value realization; articulate expansion opportunities; schedule checkpoint reviews with stakeholders. 
  • Engage CISO, CIO, Chief Privacy Officer, and Data Leadership stakeholders with clear risk, status, and opportunity updates; support executive discussions and roadmap alignment. 
  • Collaborate on adoption and expansion initiatives to drive customer success. 
  • Operate with a long-term account assignment model tied to ARR and growth potential, typically covering Strategic and Enterprise accounts with significant annual contract value. 

How they work

Teamwork & Collaboration Relationship Building
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