Solutions Engineer, Enterprise

present of AI

New York (NY)

On-site

USD 140,000 - 220,000

Full time

32 hours ago
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Job summary

Middesk seeks a senior pre-sales professional to win the technical side of large banking and fintech deals. You will run proofs of concept, design how Middesk plugs into a bank’s onboarding and risk systems, and manage security and vendor reviews.

A strong candidate has enterprise pre-sales experience, is fluent with APIs and SQL, and can present a compelling executive-level case for adoption.

Qualifications

  • Years of enterprise pre-sales experience.
  • Comfort with APIs and SQL.
  • Knowledge of KYB and anti-money-laundering rules.
  • Ability to explain the business case to senior executives.

Responsibilities

  • Win the technical side of large banking/fintech deals.
  • Lead proofs of concept.
  • Design Middesk integration into bank onboarding and risk systems.
  • Handle security and vendor reviews.

Skills

APIs familiarity
SQL
Executive communication

Tools

API integration
Webhook architecture

Job description

This is a senior pre-sales role focused on winning the technical side of large deals with banks, big fintechs, and lenders. The work covers running proofs of concept, designing how Middesk plugs into a bank's onboarding and risk systems, and handling security and vendor reviews. A strong candidate has years of enterprise pre-sales behind them, is comfortable with APIs and SQL, knows compliance basics like KYB and anti-money-laundering rules, and can explain the case to senior executives.

How it fits the AI era

AI tools can speed up the busy parts of this job, such as drafting answers to security questionnaires, summarizing long requirements documents, and exploring data from an evaluation. Banks are also bringing more AI and models into their decisions, so questions about data quality and model risk reviews are likely to grow. What stays human is earning trust with a compliance chief, reading a room of skeptical reviewers, and judging which risks a buyer will really accept.

How it builds AI experience

Middesk sells business data that banks and fintechs feed into onboarding and risk decisions, so this role sits close to how automated decisions get made with that data. Someone here would learn how institutions test data accuracy, defend results to model risk reviewers, and place a data product inside automated decision flows. To build more AI experience, a candidate could practice using AI tools to speed up evaluation analysis and diligence answer libraries, and learn how banks govern models and vendors.

Worth showing
  • Proof of concept leadership
  • API and webhook architecture
  • KYB and compliance knowledge
  • Executive business case presentations

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Middesk

A business identity platform that banks and fintechs use to verify who a company really is before they open an account, lend to it or pay it.

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