Enterprise Account Executive (financial Services)

F5 F5 · Enterprise · Singapore

Enterprise Account Executive focused on selling AI Runtime Security solutions to financial institutions. The role involves full sales cycle management, new logo acquisition, and multi-stakeholder deal closing, with a strong emphasis on understanding AI security, fraud, data privacy, and regulatory compliance within the financial services sector.

What you'd actually do

  1. Own the full sales cycle from prospecting, discovery and business case development through evaluation, negotiation and close within named financial services accounts.
  2. Build and execute territory and account plans targeting CIO, CISO, CRO, CDO, Heads of Fraud/Risk, Compliance and AI/Innovation leaders.
  3. Drive new logo acquisition with a clear hunter mindset, building a self‑generated pipeline through outbound, events, partners and executive networking.
  4. Lead complex sales cycles involving security, AI, data and risk stakeholders, aligning technical capabilities with regulatory, risk and business‑value outcomes.
  5. Run structured discovery to uncover AI security, fraud, data privacy and regulatory pain points and translate them into compelling solution proposals and ROI/TCO cases.

Skills

Required

  • 8+ years of B2B enterprise SaaS sales
  • 5+ years selling into financial services (banking, insurance, payments, capital markets or fintech)
  • Proven hunter background with a consistent record of net‑new logo acquisition and over‑achievement against >1M ARR or equivalent annual quota.
  • Demonstrated success running and closing complex, multi‑stakeholder deals with six‑ and seven‑figure ACVs and multi‑quarter sales
  • Strong cybersecurity and/or AI experience: selling security, fraud, identity, data protection, or AI/ML/LLM‑based platforms into security, risk, data and engineering buyers.
  • Deep familiarity with financial‑services risk and regulatory themes (fraud, AML/KYC, operational resilience, data privacy, AI risk, model governance).
  • Hands‑on experience selling to CISOs, CIOs, CROs, CDOs and adjacent senior stakeholders in large financial institutions.
  • Track record in early‑stage or high‑growth environments, comfortable building territory, process and pipeline with limited resources.
  • Conversant in cybersecurity concepts (threat detection, data security, identity, network and application security) and AI/ML topics (LLMs, model risk, AI attack surfaces).
  • Able to engage senior financial‑services executives with clear, outcome‑oriented narratives that connect AI security to risk reduction, revenue protection and regulatory expectations.
  • Skilled at account mapping, multi‑threading, building coalitions across business, security, risk, data and IT, and running structured sales methodologies (e.g. MEDDIC, Challenger).
  • Strong discovery, qualification and value‑engineering capabilities, including building business cases and quantifying impact on fraud loss, operational risk and compliance cost.
  • Able to partner closely with sales engineers, translate technical capabilities into business value, and credibly handle high‑level security and AI conversations.
  • Works effectively with product, marketing, customer success and partners to shape go‑to‑market plays for financial services.
  • Consistent use of CRM, forecasting, and structured territory planning; data‑driven approach to prioritization and pipeline management.
  • Bachelor’s degree in business, finance, computer science, engineering or related field, or equivalent experience.

Nice to have

  • Professional certifications in cybersecurity, cloud or AI (e.g. CISSP, CCSP, cloud provider security certs, AI/ML programs) are a plus.

What the JD emphasized

  • selling complex AI security deals
  • selling security, fraud, identity, data protection, or AI/ML/LLM‑based platforms into security, risk, data and engineering buyers
  • Deep familiarity with financial‑services risk and regulatory themes (fraud, AML/KYC, operational resilience, data privacy, AI risk, model governance)
  • selling into financial services (banking, insurance, payments, capital markets or fintech)
  • selling complex AI security deals