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Veeam Software

Builds backup and recovery software for businesses

Strategic Partner Solutions Architect - Data & AI Security

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeRemote in UKNo salary listed

About the Job

Requirements

  • At least 7 years of experience in pre-sales engineering, solutions architecture, sales engineering or technical consulting for enterprise technology.
  • Demonstrated success in a channel-facing, partner technical or overlay pre-sales role.
  • Ability to collaborate with existing account and relationship owners while leading the technical sale for a specialized solution portfolio.
  • Experience enabling and supporting technical teams at value-added resellers, solution providers, managed service providers, integrators or advisory partners.
  • Ability to lead technical discovery, solution design, product demonstrations and proofs of value.
  • At least 5 years of hands-on experience in cybersecurity, data security, data governance, privacy or AI security.
  • Working knowledge of cloud platforms including AWS, Azure and GCP, SaaS applications, data platforms, and identity and access management.
  • Ability to translate technical capabilities into business outcomes, architectures and use cases for sales and technical audiences.
  • Ability to influence internal and external stakeholders without relying on direct authority.
  • Strong communication, presentation, whiteboarding and technical writing skills.
  • Ability to manage multiple partner and customer engagements while maintaining accountability for measurable results.
  • Willingness to travel for partner meetings, enablement sessions, customer engagements and industry events.

Responsibilities

  • Partner with Veeam Channel Managers, Strategic Partner Specialists and Systems Engineers to support assigned partners with a consistent technical engagement cadence.
  • Own the Securiti.ai technical strategy, solution architecture and pre-sales motion within each partner relationship, while the Veeam Channel Manager retains ownership of the overall relationship.
  • Jointly engage partner technical leaders with Veeam teams to align on priority use cases, solution roadmaps and technical investments.
  • Equip Veeam Systems Engineers and Channel Managers with technical messaging, demonstration assets and training to introduce Securiti.ai into partner and customer conversations.
  • Set rules of engagement for technical support, opportunity handoffs and escalations so partners experience Veeam and Securiti.ai as one team.
  • Bridge partners with Veeam and Securiti.ai product management, engineering, support and services teams, relaying field feedback and feature requirements.
  • Develop technical enablement and certification plans for assigned partners alongside their Veeam Channel Managers and Partner Specialists, setting goals for certified engineers, demonstration capability, proofs of value and delivery readiness.
  • Assess partner technical maturity, including security expertise, cloud and platform skills, services capacity and integration capabilities.
  • Incorporate Securiti.ai technical priorities into existing Veeam partner plans and quarterly business reviews.
  • Identify the lab, demonstration, training and technical resources each partner requires, and regularly review readiness with Veeam and partner stakeholders.
  • Recruit, train and certify partner solution engineers, architects and services teams on Securiti.ai.
  • Lead the technical build-out of partner Data Security, DSPM and AI Governance practices, defining reference architectures, delivery methodologies, skills and certification paths.
  • Deliver technical training, workshops and hands-on labs that enable partner and Veeam teams to demonstrate and position Securiti.ai Data Security, DSPM, AI Security, AI Governance, Privacy and GRC capabilities.
  • Help partners design repeatable technical assessments, workshops, managed services and implementation offerings.
  • Architect joint solutions integrating Securiti.ai with partner services and the existing Veeam portfolio to create differentiated, repeatable customer solutions.
  • Create and maintain technical assets, including demonstration environments, reference architectures, solution briefs, discovery guides and competitive technical positioning.
  • Lead technical discovery, solution design, demonstrations and proofs of value with partners for priority customer opportunities.
  • Align Veeam, Securiti.ai and partner technical teams around priority customers, supporting opportunities from technical qualification through close.
  • Respond to technical requirements, requests for proposals and security questionnaires, and address architecture, integration and compliance questions from customer stakeholders.
  • Support the transition from sale to implementation, ensuring partner delivery teams are prepared for successful deployment and adoption.

Desired Qualifications

  • Hands-on experience with Securiti.ai or comparable DSPM, data discovery and classification, AI governance, privacy management or GRC platforms.
  • Experience designing partner-led assessments, managed services, workshops or professional services offerings.
  • Familiarity with privacy and AI regulations and frameworks such as GDPR, CCPA, HIPAA, the EU AI Act and NIST AI RMF.
  • Relevant security, privacy or cloud certifications, such as CIPP, CISSP, CCSP, or an AWS, Azure or GCP architect or security credential.

About the Company

Veeam Software

Builds backup and recovery software for businesses

Veeam Software makes backup and recovery software that gets businesses' data back after ransomware attacks, outages, or mistakes, whether it sits on their own servers, in public clouds, or in apps like Microsoft 365. It made its name in 2008 with Backup & Replication, built to back up VMware virtual machines, and in 2010 added a way to restart a failed server straight from its backup file. Its software keeps locked copies on-site or in Veeam's own cloud, scans them for malware before a restore, and tracks where sensitive data lives and which people and AI agents reach it. Companies buy subscriptions directly or through resellers and service providers. Veeam was founded in 2006 and is based in Kirkland, Washington, United States.

Company size
5,001-10,000
Company stage
Private
Total funding
$500M
Headquarters
Kirkland, WA
Founded
2006

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