Lead Customer Success Engineer, Data Security & AI

Lead Customer Success Engineer, Data Security & AI

Full-Time 60000 - 75000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead technical success for data security and AI, guiding onboarding and optimisation.
  • Company: Join Veeam Software, a leader in data management and security.
  • Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
  • Other info: Dynamic role with potential for career advancement in a fast-paced environment.
  • Why this job: Make a real impact by collaborating with top data leaders and driving value.
  • Qualifications: Experience in customer success and strong technical skills required.

The predicted salary is between 60000 - 75000 Β£ per year.

Veeam Software UK is seeking a Lead Customer Success Engineer to own the technical success plan for the Securiti Data Command Center. You will guide onboarding, adoption, and optimization, and partner with Sales to identify churn risk and expansion opportunities. You will engage with CISO, CIO, and other data leaders, align outcomes with product adoption, and drive measurable value across DSPM, Privacy, Data Security, and AI Governance.

Lead Customer Success Engineer, Data Security & AI employer: veeamsoftware

Veeam Software UK is an exceptional employer that prioritises employee growth and development, offering a dynamic work culture where innovation thrives. As a Lead Customer Success Engineer, you will have the opportunity to engage with industry leaders while working in a collaborative environment that values your contributions and fosters meaningful relationships. With a focus on data security and AI, Veeam provides unique advantages such as cutting-edge technology and a commitment to driving measurable value for clients.

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Contact Details:

veeamsoftware Recruitment Team

We think you need these skills to ace Lead Customer Success Engineer, Data Security & AI

Technical Success Planning
Onboarding and Adoption Strategies
Customer Engagement
Churn Risk Identification
Expansion Opportunity Analysis
Collaboration with Sales
Stakeholder Management