Jobs at Veeam

Lead reliability engineering across Azure-based platforms by designing highly available and scalable infrastructure, defining SLOs and error budgets, improving observability, automating self-healing and fleet management, and leading incident response. Build infrastructure-as-code, CI/CD, deployment automation, testing, canary release, and resilience tooling. Partner with product teams, establish architectural best practices, mentor engineers, and promote SRE and DevOps practices globally.

Lead reliability engineering across Azure-based systems by designing highly available infrastructure, defining SLIs and SLOs, improving observability, automating operations, and leading incident response. Develop infrastructure as code, CI/CD, deployment automation, testing, canary releases, and self-healing tools. Partner with product teams, establish SRE best practices, mentor engineers, and drive resilience and operational excellence across global teams.

As a Customer Success Engineer, you will drive customer outcomes with technical expertise in Veeam products, ensuring effective onboarding and identifying opportunities for expansion and risk mitigation while engaging with stakeholders.

Generates and qualifies sales opportunities for strategic accounts by engaging marketing-generated leads and outbound prospects. Identifies buying-group members, nurtures prospects through multichannel cadences, manages activity in Salesforce, collaborates with account executives, and meets monthly pipeline and meeting-generation KPIs. Requires strong communication, sales prospecting, CRM, social selling, time-management, and technology-product knowledge.

Generates and qualifies sales demand for strategic accounts, identifies buying-group members, conducts outbound outreach, nurtures prospects, and schedules meetings for account executives. Maintains CRM records and outreach cadences in Salesforce, collaborates with sales and marketing teams, develops product knowledge, and meets monthly pipeline and meeting KPIs. Requires fluent English and Hebrew, sales development experience, strong communication, research, organization, and technology understanding.

Own technical delivery for complex enterprise customers across deployment, integration, automation, and solution architecture. Lead hybrid cloud, on-premises, Kubernetes, container, and Linux deployments; build integrations, agents, tools, workflows, and reusable playbooks; resolve complex technical escalations; and translate data, security, privacy, and AI needs into scalable solutions. Partner with executives and technical stakeholders, mentor other engineers, and collaborate with Sales Engineering, Product, and Engineering on strategic customer initiatives.

Own strategic customer deployments of the Securiti AI platform across cloud, hybrid, and on-premises environments. Build integrations, automations, data pipelines, classifiers, and agent workflows; configure Kubernetes and cloud infrastructure; troubleshoot complex deployment and integration issues; translate security, privacy, governance, and AI objectives into technical solutions; and lead customer technical sessions while partnering with Sales Engineering, Product, and Engineering.

Develop and close enterprise sales with private-sector accounts by partnering with channel partners and selling directly to customers. Responsibilities include prospecting, cold calling, upselling, cross-selling, forecasting in Salesforce, coordinating territory marketing activities, and managing sales opportunities with IT infrastructure customers. The role requires frequent travel, German and English proficiency, and a valid driving license.

Lead cross-functional technical programs supporting mergers and acquisitions, including systems integration, application rationalization, data migration, process automation, and environment consolidation. Conduct technical discovery, requirements gathering, process mapping, gap analysis, and migration planning. Coordinate technical teams, stakeholders, resources, communications, change management, documentation, KPIs, risk mitigation, and executive reporting to ensure successful program delivery with minimal business disruption.

Own technical customer success for strategic and enterprise accounts using the Securiti Data Command Center platform. Lead onboarding, adoption, optimization, technical assessments, health checks, value reviews, success planning, and renewal or expansion support. Advise customers on DSPM, privacy, data security, and AI governance, while engaging executive stakeholders and translating business goals into technical adoption roadmaps. Partner with Sales and Customer Success leadership to mitigate churn, demonstrate value, and drive account growth.

Lead architecture and delivery of large, complex enterprise deployments across cloud and on-prem environments. Design scalable data, security, and AI integrations; develop automation, ETL pipelines, and custom integrations; embed with customer engineering and executives to drive adoption, mentor team members, and influence product roadmap.

Lead architecture and delivery of complex, multi-phase deployments across cloud and on‑prem environments. Design scalable data discovery, governance, and integration solutions, build custom integrations and automation, resolve critical infrastructure and data challenges, engage executive stakeholders, and influence product roadmaps while mentoring other engineers and producing technical documentation and best practices.

The Executive Assistant will support the Head of Global Products and Technology, manage complex calendars, handle confidential information, and coordinate company events and travel logistics while fostering team success and inclusion initiatives.

Generates qualified sales pipeline through targeted outbound calls, emails, and social outreach. Researches prospects, identifies buying signals and pain points, qualifies opportunities in Salesforce, books meetings, and achieves pipeline KPIs. Collaborates with marketing, sales, and technical teams while positioning Securiti AI as a trusted data and AI security advisor. The role requires strong communication, resilience, curiosity, organizational skills, and interest in building a sales career.

Manage renewal and expansion quotas for named commercial accounts by proactively engaging customers, conducting health checks, promoting products, negotiating agreements, and closing renewals, upgrades, and license sales. Maintain pipeline forecasts, Salesforce records, and KPI performance while supporting licensing transfers, customer service escalations, channel partners, and cross-functional deal preparation. Build executive-level relationships and provide bilingual English-Portuguese customer support.

Manages customer renewals, retention, expansion, and maintenance reinstatement opportunities for assigned accounts. Responsibilities include meeting renewal quotas, preparing quotes and proposals, handling pricing and partner inquiries, reactivating lapsed customers, supporting channel partners, negotiating agreements, and maintaining accurate Salesforce records. The role requires high-volume customer communication, cross-functional collaboration, KPI and SLA performance, and strong organization in a fast-paced sales environment.

Lead system-level and infrastructure testing in a San Jose lab. Build end-to-end test environments spanning on-premises hardware, Kubernetes, and cloud edge topologies. Develop offline validation harnesses, profile operating-system resources, execute hardware-in-the-loop automation, and maintain physical and virtual testbeds. Own automated orchestration for resetting, patching, and reconfiguring test rigs while ensuring platform stability, hardware-software integration, and deployment verification.

Provide bilingual Japanese and English technical support to B2B customers using Veeam Backup & Replication. Troubleshoot backup, recovery, virtualization, storage, networking, Windows, and Linux issues; analyze logs, reproduce problems, manage cases within SLA, document resolutions, and escalate complex issues with technical evidence. Contribute to knowledge articles and collaborate with senior engineers, product specialists, and escalation teams.

Lead quality strategy and automated testing for graph database architectures and high-volume reporting engines. Build test suites for graph traversals, indexing, data fidelity, aggregation accuracy, latency, and schema evolution. Design benchmarking platforms for query and memory performance, and use Kubernetes across AWS and Azure to create isolated multi-tenant database environments for regression testing.

Leads revenue intelligence operations supporting Marketing through executive reporting, forecasting, KPI governance, data quality, automation, and performance insights. The role develops marketing and SDR forecasting models, owns scorecards, improves reporting infrastructure, and translates pipeline, funnel, and ROI data into recommendations for senior leadership. It partners with Finance, Revenue Operations, Data Engineering, Analytics, Marketing, and SDR teams while mentoring analysts and driving cross-functional reporting standards.