Solutions Engineer III – Financial Services

🕒 April 2

🦌 Connecticut, North Carolina, +3 more states – Remote

🦌 Connecticut – Remote 🌲 North Carolina – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote ⚔️ Virginia – Remote

💵 $123.5k - $185.3k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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F5

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

💰 Post-IPO Equity on 2020-11

Cybersecurity • SaaS • Enterprise

F5 is a technology company that specializes in application services and security, enabling organizations to optimize, secure, and control their digital applications. They offer a range of solutions that enhance application performance, availability, and security across any cloud environment.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

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