Taktile
Senior Account Executive
New York Office · Senior
Sponsorship not specifiedDetected 306 days ago
Machine LearningComputer VisionAgentic AIComplianceHubSpotSalesforceCRMSalesAccount ManagementOutbound SalesCustomer SuccessLeadershipCommunicationPublic Speaking
About the role
- Taktile empowers financial institutions to transform into truly AI-native organizations.
- We're growing rapidly with enterprise customers across banks and insurance companies, and we're looking for an Senior Account Executive.
- You will play a critical role in driving growth by creating a robust pipeline of enterprise accounts and guiding them through complex sales cycles with expertise and care.
Responsibilities
- Develop a deep understanding of our enterprise target markets, ideal customer profiles, and competitive landscape.
- Manage a pipeline of complex, multi-stakeholder sales opportunities from lead to close, focusing on long-term value.
- Drive outbound prospecting efforts to engage and qualify enterprise accounts.
- Lead discovery sessions, product demos, and executive presentations to showcase Taktile's value proposition.
- Collaborate with the Customer Success team to ensure smooth handovers and long-term customer success.
- Use CRM and sales tools such as HubSpot, Salesforce, LinkedIn Sales Navigator, etc., to manage and track progress.
Requirements
- You've met or exceeded your sales targets for 5+ years at $300K+ ACVs.
- You have extensive experience managing complex deal cycles of 6+ months.
- You have exceptional communication skills, with an ability to craft compelling messages that resonate with enterprise stakeholders.
- You have a proven track record selling SaaS/software subscriptions to Financial Services and/or enterprise-scale businesses.
- You are highly skilled in prospecting and navigating complex organizations to identify and engage decision-makers.
- Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.
- Ideal, But Not Required
Skills
- No hiring decision is made solely by automated means without human review.
Compensation
- Receive a top-of-market equity and cash compensation package
Company info
- Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents.
- Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo.
- With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator.
- Learn more at taktile.com http://taktile.com.
- Taktile operates through regional entities worldwide.
- Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania).
- The applicable entity will be confirmed during the offer process.
- Taktile ("we" or "us") is the controller of the personal data you provide during this application process.
- We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references.
- With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions-approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding.
- About Your Employment.
- Your Privacy.
- How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities.
- Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art.
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This listing is sourced directly from Taktile's careers page and normalized into a canonical job model.