• Lead and support the response to all security events and incidents across Twilio’s complex global infrastructure, services and applications. • Be responsible for documentation of incidents and projects you work on and craft best practices as runbooks and standard operating procedures to share knowledge across teams. • Work cross-collaboratively to understand and help solve challenges related to a broad spectrum of threat actors and activity. • Work to improve Twilio’s security and reliability posture by driving identified betterments from security events and incidents. • Rapidly acquire new technical skills and knowledge in a fast-paced, highly disruptive industry environment. • Own the security incident lifecycle, respond to incidents and participate in on-call rotation and participate in RCAs for security incidents. • Build, cultivate, and maintain positive relationships with internal customers to identify and facilitate solutions to increase the impact of the team’s work. • Provide mentorship, support, and care for the team in a way that enables long-term career development, happiness, and success at scale.

Role Description 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: - 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. - Own the technical success plan and adoption roadmap; influence expansion and renewal outcomes in partnership with Sales and Customer Success leadership. Qualifications - 12+ years in customer-facing technical roles focused on data security, privacy, governance, cloud security, or enterprise software (e.g., Technical Consulting, Solutions Architect, Sales Engineer, Technical Account Manager, Customer Success Engineer). - Hands-on expertise across cloud platforms, data platforms, SaaS applications, security technologies, and enterprise architectures. - Strong experience conducting technical assessments, driving adoption programs, and delivering measurable customer outcomes; familiarity with DSPM, Privacy, or AI Governance platforms is a plus. - Preferred certifications: AWS Solutions Architect, Microsoft Azure Administrator or Solutions Architect Expert, CISSP, CIPP, CIPM, or similar industry certifications. - Proven ability to translate business outcomes into technical adoption roadmaps and measurable value. - Executive stakeholder engagement skills (CISO, CIO, Chief Privacy Officer, Chief Data Officer) with the ability to synthesize technical, business, and risk signals into clear recommendations. - Excellent communication, cross-functional collaboration, and stakeholder management skills. Benefits - 25 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares. - Private medical, dental, and vision insurance with dependent enrolment. - Life insurance with enhanced coverage and global 24/7 protection. - Income protection after 26 weeks, covering a portion of salary. - Defined contribution pension plan with employer match. - Worldwide travel insurance for business and leisure, with option to enroll dependents. - Employee Assistance Program with therapy, legal, and financial support, plus online GP services and wellbeing programs. - Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning.

Role Description - Eigenverantwortliche Leitung von ISMS-Implementierungs- und Verbesserungsprojekten - Aufbau und Steuerung von Projekten inkl.: - Projektplänen, Meilensteinen, Arbeitspaketen - Ressourcen-, Termin- und Budgetmanagement - Proaktives Risiko- und Abhängigkeitsmanagement in Multi-Projekt-Umgebungen - Souveränes Stakeholder-Management bis auf Geschäftsführungs- und Vorstandsebene - Führung und Koordination interdisziplinärer Projektteams (Kund:innen, interne Teams, externe Partner) - Qualitätssicherung aller Deliverables - Dokumentation, Maßnahmenpläne, Audit-Nachweise, Readouts - Mentoring und fachliche Unterstützung von Junior-Kolleg:innen sowie aktiver Wissenstransfer im Team Qualifications - Mehrjährige Berufserfahrung in Informationssicherheit, ISMS oder Security-/Compliance-Projekten - Sehr gute Kenntnisse von NIST so wie der ISO/IEC 27001 bevorzugt inkl. praktischer Audit-Erfahrung - Nachweisbare Erfahrung in Projektleitung und im Umgang mit anspruchsvollen Stakeholdern - Bevorzugt PMP, Prince2 oder Scrum zertifiziert - Strukturierte, pragmatische und ergebnisorientierte Arbeitsweise - Sehr gute Deutschkenntnisse (mind. C1), gute Englischkenntnisse Requirements - Zertifizierungen wie ISO 27001 Lead Implementer/Lead Auditor, CISM, CISSP - Erfahrung im Bereich NIS2 und DORA - Consulting-Erfahrung (Delivery, Kundenschnittstelle, Erwartungsmanagement) Benefits - 30 Tage Urlaub pro Jahr (für eine 5-Tage Arbeitswoche) - Flexible Arbeitszeiten und Home-Office Möglichkeit - Aktive Karriereplanung inkl. kontinuierlicher Weiterbildungen - Große Auswahl an Benefits wie z.B. ein Jobrad-Leasing, Wellpass, FINN JobAuto, hrmony Benefits uvm. - Individuelle Gehaltsbestandteile wie z.B. Zuschuss zur Mobilität (Deutschlandticket) und Essenszuschüsse - Attraktive Bezuschussung zur Betrieblichen Altersvorsorge - Social Events (vor Ort + Online)

• Build and deploy AI/LLM-powered tooling to accelerate security workflows — alert triage, incident investigation, threat detection, and log analysis. • Develop AI agents and automations that reduce manual toil in the SOC (e.g., enrichment, summarization of detections, first-pass triage). • Integrate AI capabilities into existing security tooling (SIEM, EDR/CrowdStrike, vulnerability management, phishing analysis). • Partner with engineering teams to integrate AI-assisted secure coding, code review, and vulnerability detection into the development lifecycle. • Build guardrails and automated security checks into AI-assisted coding tools and CI/CD pipelines. • Assess and secure AI/ML components that engineering teams ship in products (prompt injection, model abuse, data leakage, insecure output handling). • Develop reference patterns and paved-road tooling so developers can adopt AI securely by default. • Threat-model AI-enabled features and applications, mapping to frameworks like the OWASP LLM Top 10 and MITRE ATLAS. • Define and maintain the organization's AI acceptable-use policy and secure-adoption standards. • Establish a review/intake process for evaluating and approving new AI tools, vendors, and use cases. • Assess data-handling and privacy risks of AI tools (what data goes where, training/retention terms, regional compliance). • Align AI governance with regulatory and framework requirements (e.g., NIST AI RMF, ISO/IEC 42001, SOC 2, PCI DSS where applicable). • Educate and enable employees on safe AI use through training, guidance, and clear escalation paths.