Enterprise Account Executive - Financial Services
New
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ElevenLabsConversational AI
This role is remote-first, so it can be executed from anywhere in the United States, Ability to operate in EST, CST, or PST timezones is required.Full-TimeExecutive
Salary not disclosed
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Job Details
- Experience
- 7+ years of quota-carrying enterprise sales experience in SaaS or technology
- Required Skills
- SaaS
Requirements
- Bring 7+ years of quota-carrying enterprise sales experience in SaaS or technology.
- Have experience selling to financial services institutions; experience with banks, insurers, lenders, fintech, or payments is a strong plus.
- Demonstrate success closing seven-figure deals and managing complex, multi-stakeholder sales cycles.
- Have experience selling to technical buyers, business buyers, and risk and compliance gatekeepers.
- Translate complex technology into business value and customer-specific solutions.
- Be proficient in enterprise procurement, security review, and legal processes.
- Be able to work with regulated-industry vendor risk, model risk, and data protection reviews.
- Build relationships at the C-suite and board level and work effectively as a cross-functional partner.
- Be willing to travel frequently for onsite client visits and conferences.
- Be able to operate in EST, CST, or PST timezones.
Responsibilities
- Build and manage a growing portfolio of new accounts across banking, insurance, lending, payments, wealth, and asset management.
- Identify opportunities for conversational AI to drive growth, automation, or cost efficiency in customer-facing and internal workflows.
- Develop and maintain an understanding of conversational AI use cases, competitive solutions, build-versus-buy dynamics, and AI governance and model-risk trends.
- Develop and execute account strategies across CX, contact center operations, digital, product, technology, risk, compliance, legal, and InfoSec buying groups.
- Partner with Forward Deployed Engineers to solution high-impact use cases and manage successful Proofs of Value with end customers.
- Guide clients through model-risk, security, and architecture reviews and prepare them to scale successfully in production.
- Serve as a trusted advisor, educate clients on generative AI and voice, and help shape the Financial Services playbook.
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