Enterprise Sales Engineer

You'll work closely with Plaid's Enterprise Sales team as the technical lead during the pre-sales process, partnering with Account Executives to overcome technical objections, build solutions around Plaid products, and support successful post-sale adoption. Significant fintech ecosystem knowledge and a deep understanding of Plaid's products are expected.

Responsibilities

• Serve as the lead technical advisor for Enterprise accounts from discovery through solution design, evaluation, and post-sale handoff.
• Partner with Account Executives to align Plaid capabilities to customer priorities across payments, wallets, gaming, travel, and lending.
• Build alignment with technical, product, risk, and operations stakeholders on complex enterprise initiatives.
• Lead demos, technical discovery, solution design, and RFPs across wallet funding, merchant onboarding, fraud, and underwriting.
• Play a hands-on role in pilots and POCs, defining success criteria, diagnosing gaps, and guiding tradeoffs.
• Refine sales assets, messaging, and technical playbooks to strengthen Plaid's vertical go-to-market motion.
• Help shape vertical strategy and GTM motions with cross-functional partners across Sales, Product, Partnerships, and Product Marketing.
• Partner with engineering and product teams to turn customer feedback into actionable product insight.
• Collaborate with the broader Sales Engineering team to share best practices and raise team expertise.

Requirements

• 7+ years of customer-facing experience selling into or consulting for large enterprises.
• Familiarity with Identity Verification, fraud, Income Verification, or cash flow underwriting, with a strong preference for fintech or payments experience.
• Strong customer empathy and a consultative mindset, with the ability to connect technical choices to business outcomes.
• A background combining business judgment and technical acumen, including comfort with legal, compliance, and commercialization considerations.
• Strong communication skills and a proactive approach to client management and cross-functional collaboration.
• Ability to translate technical capabilities into business value.
• Fluency in insights products and statistical or ML models, with the ability to turn outputs into clear customer recommendations.
• Ability to quickly understand new technologies and apply them to AI-driven insights.
• Knowledge of mobile and web application architecture, especially for API integrations, bank-linking, identity, and payments flows.
• Willing and able to travel up to 25% of the time.

Benefits

• Equity
• Medical insurance
• Dental insurance
• Vision insurance
• 401(k)