Plaid
Enterprise Sales Engineer - Sales Engineering
About this role
Plaid is seeking an Enterprise Sales Engineer to act as a technical advisor throughout the pre-sales process, helping clients leverage Plaid's financial technology solutions. This role involves collaboration with the sales team to address technical concerns and ensure a smooth transition to the post-sale phase, requiring deep knowledge of the fintech ecosystem.
What you'll do
- Serve as the lead technical advisor for Enterprise accounts.
- Partner with Account Executives to align Plaid capabilities to customer needs.
- Conduct demos, technical discovery, and solution design.
- Participate in pilots and define success criteria.
- Refine sales assets and technical playbooks.
- Collaborate with engineering and product teams for customer feedback.
What they're looking for
- 7+ years of customer-facing experience.
- Experience in fintech or payments.
- Strong consultative and communication skills.
- Technical acumen with a business focus.
- Knowledge of identity and fraud verification.
- Fluency in insights products and statistical models.
- Understanding of mobile/web application architecture.
- Willingness to travel up to 25%.
Benefits
- Opportunity to work in a dynamic fintech environment.
- Support for professional development.
- Diverse and inclusive workplace culture.
- Commitment to financial equity.
- Collaboration with cross-functional teams.
- [Unknown]
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Plaid
Plaid builds infrastructure that connects users to their financial data and enables secure financial transactions through APIs and integrated experiences. The company is hiring Full Stack Software Engineers, Backend Engineers, Security Engineers, and Sales Engineers to develop and support its platform for millions of users.
- Website
- plaid.com
Likely interview questions
- Walk us through a complex enterprise deal you've led from technical discovery to close. How did you uncover and overcome the main technical objections?
- Describe your experience with fintech or payments products. What aspects of identity verification, fraud detection, or underwriting are you most familiar with?