Enterprise Account Executive (Financial Services)

Salary: $200,000–$240,000 USD annually, plus potential equity and benefits.

Company

Scale AI develops reliable AI systems, high-quality training data, and full-stack technologies for enterprises, governments, and leading AI model developers.

What you will do

• Own and expand strategic relationships with banks, insurers, capital-markets firms, and fintechs.
• Sell agentic AI solutions powered by LLMs and human-in-the-loop systems for underwriting, fraud detection, compliance, KYC, claims, research, and operations.
• Engage CIOs, CTOs, Chief Data and AI Officers, risk leaders, and business executives to shape enterprise AI strategies.
• Develop account plans, business cases, ROI models, forecasts, and mutual close plans for new business, renewals, and expansions.
• Partner with Solutions Engineering, Product, Research, and Delivery teams to land pilots, proofs of value, and production deployments.
• Navigate regulatory, security, procurement, and multi-stakeholder requirements while informing product and industry-specific solutions.

Requirements

• 8–12+ years of enterprise sales experience, with significant experience in financial services.
• Proven success closing and expanding large, complex, multi-million-dollar enterprise deals in regulated environments.
• Experience selling AI/ML, data platforms, or workflow automation technologies and positioning LLM-driven solutions for technical and business audiences.
• Deep understanding of financial-services workflows, including underwriting, claims, fraud, KYC/AML, research, and operations.
• Strong executive communication, business-case development, account planning, multi-threading, forecasting, and storytelling skills.
• Ability to manage ambiguity, long sales cycles, complex stakeholders, and cross-functional execution with high ownership.

Nice to have

• Experience selling agentic AI, LLM platforms, or automation solutions to financial-services organizations.
• Experience working with risk, compliance, or data organizations in large enterprises.
• Familiarity with model risk management, auditability, and data-privacy considerations for AI deployments.
• Experience in high-growth or emerging-technology environments.

Culture & Benefits

• Health, dental, and vision coverage.
• Retirement benefits, learning and development stipend, and generous paid time off.
• Potential commuter stipend and equity eligibility depending on role and location.
• Inclusive equal-opportunity workplace with reasonable accommodations available during the application process.

Hiring process

• Salary and eligibility for equity are determined during the interview process based on location, experience, qualifications, and interview performance.
• Applicants must wait 90 days before being reconsidered for the same role.