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Plaid Logo Plaid · IT - Software Development

Sales Engineer - Credit

United States, San Francisco · Job Posted May 04, 2026
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Job Description

Sales Engineering unlocks and empowers prospects’ full potential on the Plaid Network. We bring product expertise and drive Revenue outcomes by being customer-obsessed technical advisors in the pre-sales process. You’ll work closely with our Enterprise Sales team as the technical lead during the pre-sales process. You will be responsible for partnering with Account Executives, proactively pushing deals forward by overcoming technical objections and building solutions around Plaid products. You will ensure a successful transition to the post-sale stage of the customer lifecycle and partner with account teams to drive adoption of new products by existing customers. You will be expected to have significant knowledge of the Fintech ecosystem and a deep understanding of how clients can best utilize Plaid.

Job Responsibility

  • Serve as the technical lead for Enterprise accounts throughout the sales process
  • Partner with Account Executives to demonstrate to prospects how Plaid can best address their use cases and technical requirements. Specifically, to design solutions and share best practices throughout the sales process
  • Engage deeply with technical stakeholders in the pre-sales process to drive alignment and buy-in
  • Provide demonstrations, address technical questions, architect implementation solution(s) and handle RFP responses in a thorough and expedient manner
  • Take a hands-on role in POCs, where inquisitive and critical thinking is needed to identify, diagnose, and rectify any performance shortfalls
  • Constantly re-evaluate selling assets and process to enable more efficient/effective messaging to customers
  • Work with our engineering and product teams to translate prospect feedback into meaningful product insights
  • Collaborate with current SE team to up-level team knowledge and capabilities

Requirements

  • 5-7+ years of customer facing experience selling to large enterprises
  • Familiarity with Identity Verification, stolen, synthetic, and first‑party fraud or Income Verification, Cash Flow Underwriting
  • Fluency in insights products and underlying statistical/ML models, translating analytical outputs into clear, actionable customer recommendations
  • A strong sense of customer empathy
  • A background that combines business experience and technical acumen
  • Strong communications skills with a confident and proactive approach to client management
  • Consultative mindset with ability to translate technical choices into business value
  • Ability to quickly understand new technologies and complex concepts quickly
  • Knowledge of mobile and web application architecture specific to interfacing with API platforms
  • Willing and able to travel up to 25% of the time
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