Enterprise Account Executive - Financial Services (SaaS & Managed Services)
Linedata is seeking a sophisticated Enterprise Account Executive to spearhead our growth within the Banking and Financial Services (BFSI) sector. This is a high-impact role requiring a dual-threat sales professional: someone equally comfortable positioning SaaS solutions and technology leveraged long-term Managed Services (strategic outsourcing/infrastructure). The ideal candidate understands that financial institutions don't just buy software; they buy security, reliability, and transformation. You will be the primary architect of high-value partnerships, navigating the "long game" of enterprise procurement to deliver solutions that modernize the core of global banking. Key Responsibilities: Tailored Solution Selling: Expertly pivot between selling high-velocity SaaS platforms and high-touch, long-term Managed Services agreements, depending on the client’s operational maturity. Banking Domain Mastery: Navigate the complex hierarchies of Tier-1 and Tier-2 financial institutions, building relationships with C-Suite executives (CIO, CTO, CRO) and key procurement stakeholders. AI Transformation: Act as a thought leader by positioning AI Software Services as a critical lever for operational efficiency, risk mitigation, and personalized banking. Strategic Account Planning: Develop and execute 12–24 month account strategies that account for the rigid regulatory and compliance requirements of the finance industry. Deal Orchestration: Lead the charge on complex RFP/RFI responses, coordinating with legal, security, and technical teams to ensure "bank-grade" solution delivery. Requirements: 8-10 Years of Experience: Proven track record in high-ticket B2B technology sales, with at least 7 years dedicated to the Financial Services vertical. The "Dual-Track" Skillset: Demonstrated success in selling both recurring software licenses (SaaS) and complex service-led engagements (Managed Services/Consulting). Closing Power: Evidence of consistently hitting or exceeding multi-million dollar annual quotas and closing deal sizes ranging from $500k to $5M+. AI Expertise: Prior experience selling AI/ML services, automated underwriting, or algorithmic fraud detection software. Cloud Knowledge: Familiarity with hybrid-cloud environments and data residency issues specific to global banking. Active Network: A strong existing network of contacts within major banking enterprises. Excellent Communication: Ability to translate complex AI and cloud concepts into tangible business outcomes for non-technical executive stakeholders. Compensation & Benefits: The on-target earnings (OTE) for this role are expected to range from $240000 to $340,000+, including base salary and variable compensation, with significant upside through uncapped commissions. Final compensation will be determined based on experience, track record, and market expertise. Your total compensation includes: Base salary Sales commissions (variable, performance-based) Comprehensive benefits: health insurance, retirement plans, paid time off, and wellness programs Linedata regularly reviews compensation programs to support equity, reward performance, and reflect evolving market conditions Commitment to Diversity: We recognize, celebrate, and seek to increase diversity across our organization. Diversity is an asset to organizations and linked to better performance. It is an integral part of how we do business and imperative to our success. As an international Group, we also believe that our people need to reflect our clients and local communities. Linedata is an Equal Opportunity Employer. We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations. It is our intent to maintain a work environment that is free of harassment, discrimination, or retaliation based on an individual's race, color, religion, religious creed, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information, marital status, sex, gender, age, sexual orientation, veteran and/or military status, protected medical leaves, domestic violence victim status, political affiliation, or any other status protected by federal, state, or local laws.