Scale AI Enterprise Account Executive at Scale AI focused on revenue growth in financial services by selling complex AI solutions. Own full customer lifecycle and act as strategic partner to senior executives in banks, insurers, and fintechs.
Responsibilities
Own and expand relationships with the largest financial services institutions (banks, insurers, capital markets, fintech), focusing on high-impact, multi-year AI transformations
Sell agentic AI solutions by mapping Scale’s capabilities to mission-critical workflows (e.g., underwriting, fraud, compliance, customer ops, investment research)
Build trusted relationships with executive stakeholders (CIO, CTO, Chief Data/AI Officer, Heads of Risk/Operations/Lines of Business) and guide enterprise AI strategy
Develop and execute multi-threaded account plans that drive net-new revenue, expansion, and long-term platform adoption
Lead complex deal cycles, including business case development, ROI modeling, and mutual close plans across new business, renewals, and expansions
Partner deeply with Solutions Engineering to shape and land technically credible pilots, POVs, and production deployments
Navigate regulatory, security, and procurement processes unique to financial services environments
Act as the voice of the customer internally—informing product roadmap, agent design, and vertical-specific solutions
Maintain a strong command of pipeline, forecasting, and deal hygiene using Salesforce, Clari, and related tools
Operate with urgency and precision in a fast-paced, highly cross-functional environment
Ideally, You Will Have:
8–12+ years of enterprise sales experience, with significant focus on financial services (banking, insurance, capital markets, or fintech)
Qualification
Experience selling agentic AI
Preferred
Experience selling agentic AI, LLM platforms, or automation solutions into financial services
Background working with or alongside risk, compliance, or data organizations within large enterprises
Familiarity with regulatory considerations (e.g., model risk management, auditability, data privacy) in AI deployments
Prior experience in high-growth or emerging technology environments
