Solutions Engineer III – Financial Services

🕒 vor 2 Monaten

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of F5

F5

5001 - 10000 Mitarbeiter

🔒 Cybersecurity

☁️ SaaS

🏢 Unternehmen

💰 Post-IPO Equity im 2020-11

Cybersecurity • SaaS • Enterprise

F5 ist ein Technologieunternehmen, das sich auf Anwendungsdienste und Sicherheit spezialisiert hat und es Organisationen ermöglicht, ihre digitalen Anwendungen zu optimieren, zu sichern und zu steuern. Sie bieten eine Vielzahl von Lösungen an, die die Anwendungsleistung, Verfügbarkeit und Sicherheit in jeder Cloud-Umgebung verbessern.

Beschreibung

• Drive the Sales Motion: Partner with Enterprise Account Executives through the full sales cycle, from technical discovery and qualification through POCs, security reviews, and final technical close. • Design Tailored Architectures: Create solution designs that map F5's AI security capabilities to complex FS environments, including hybrid cloud, legacy cores, and existing data platforms. • Execute High-Impact Demos: Build and deliver compelling demonstrations of inference-layer protection, model red-teaming, and agent defense that prove value against FS success criteria like fraud reduction and compliance. • Navigate Risk & Compliance: Serve as a domain expert on AI/model risk, operational resilience, and regulatory frameworks, leading technical responses for RFIs/RFPs and security questionnaires. • Influence the Product Roadmap: Work cross-functionally with Engineering and Product teams to relay field feedback from FS customers, ensuring our AI security portfolio evolves with industry-specific needs. • Ensure Customer Success: Support the onboarding of new wins, providing clear architectural documentation and best-practice handovers to the Customer Success team.

🎯 Anforderungen

• 5+ years in a customer-facing technical role (Solutions Engineer, Security Architect, or similar) within enterprise B2B SaaS. • Strong background in cybersecurity and AI, with hands-on understanding of LLMs, inference-layer guardrails, and data protection in production environments. • Practical familiarity with FS reference architectures, risk management, and compliance topics such as AML/KYC and data privacy. • The ability to translate complex AI security challenges into simple, actionable narratives for both technical teams and non-technical executives. • Experience supporting global banks or payment networks, or a background in software/ML engineering before moving into customer-facing roles.

🏖️ Vorteile

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options

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