Senior Banking AI and SaaS Enterprise Executive

About Us

Why Linedata? Join us in shaping the fintech of tomorrow. With more than 1,350 colleagues across 20 locations worldwide, you’ll help build cutting‑edge platforms and tailored services that power the daily operations of 700 leading financial institutions. As a global, multicultural company with over 45 nationalities represented and just as many languages spoken, we thrive on diverse perspectives and collaboration. Together, we tackle future‑focused topics like AI and the digitalization of finance, delivering smart solutions for our customers.

Whether you’re just beginning your career or are an experienced professional, Linedata offers exposure to large‑scale client projects, internal mobility and opportunities to develop your skills alongside leading experts.

• 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.

• 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.

The on‑target earnings (OTE) for this role are expected to range from $240,000 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.

• 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.

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.