
11 - 50 employees
Founded 2025
🤖 Artificial Intelligence
🏦 Banking
đź’ł Fintech
Artificial Intelligence • Banking • Fintech
eAI is a company that provides a governed AI infrastructure platform for regulated enterprises. The platform combines a governance engine, agent runtime, financial reasoning systems, an audit cloud, and an integration fabric to deploy autonomous AI agents safely and compliantly in production. eAI targets banks, fintechs, treasury and lending platforms, and other regulated industries with purpose-built agents for lending, treasury, compliance, risk, and operations.
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11 - 50 employees
Founded 2025
🤖 Artificial Intelligence
🏦 Banking
đź’ł Fintech
Artificial Intelligence • Banking • Fintech
eAI is a company that provides a governed AI infrastructure platform for regulated enterprises. The platform combines a governance engine, agent runtime, financial reasoning systems, an audit cloud, and an integration fabric to deploy autonomous AI agents safely and compliantly in production. eAI targets banks, fintechs, treasury and lending platforms, and other regulated industries with purpose-built agents for lending, treasury, compliance, risk, and operations.
• Own enterprise sales and new ARR generation • Build qualified pipeline across banks, credit unions, fintechs, and other regulated financial institutions • Personally source and close strategic enterprise opportunities • Leverage existing financial-services relationships to create executive-level conversations • Develop new relationships within target accounts • Sell to CIOs, CTOs, CISOs, Chief Risk Officers, Chief Data Officers, Chief AI Officers, and other senior executives • Lead executive discovery, product positioning, and commercial conversations • Navigate technical, security, risk, compliance, procurement, and legal processes • Build strategic account plans for priority institutions • Develop a repeatable land-and-expand sales motion • Maintain disciplined pipeline management and accurate forecasting • Work with product and technical leadership to refine positioning, use cases, pricing, and go-to-market strategy • Develop strategic partnerships capable of generating qualified opportunities • Recruit and build the broader sales organization as revenue scales • Establish executive relationships, activate strategic accounts, create qualified opportunities, progress sales cycles, close new and expansion ARR, and build revenue-producing partnerships
• 10+ years of enterprise technology sales experience • Significant experience selling into banks and regulated financial institutions • Strong network of senior executives across financial services • Demonstrated history of personally generating multi-million-dollar enterprise pipeline • Demonstrated history of personally sourcing and closing six- and seven-figure enterprise contracts • Experience selling AI, SaaS, data infrastructure, cybersecurity, governance, risk, compliance, lending, core banking, or other mission-critical enterprise technology • Strong technical fluency and ability to engage credibly with sophisticated technology buyers • Experience navigating complex, multi-stakeholder enterprise sales cycles • Strong executive presence and commercial negotiation skills • Excellent pipeline management and forecasting discipline • Experience operating in an early-stage or high-growth environment • Ability and willingness to operate without a large existing SDR, marketing, or sales organization • Genuine relationships across financial services and ability to create conversations with senior executives • Ability to credibly discuss AI, governance, data, risk, security, and enterprise technology • Willingness to prospect, follow up, travel, demo, negotiate, and personally drive opportunities forward • Repeated success turning complex enterprise opportunities into signed contracts and ARR • Prior performance and references may be verified
• Opportunity to join eAI at an early stage • Work directly with the founding and technical teams • Build relationships with major financial institutions • Build the sales organization as revenue scales
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