Senior Manager, Credit

Engine
•$151,300 - $178,000•Hybrid

About The Position

Engine X is growing fast and credit decisioning is a core risk control. The Sr. Manager, Credit owns the underwriting operating model for Engine’s corporate card: the credit standard, the backtest infrastructure, the portfolio analytics, and the team executing against it. The end state is a credit function where the majority of applications are decided automatically, with human judgment reserved for complexity and edge cases. You're the person who builds the bridge from here to there — owning the manual operation today while driving the criteria, model inputs, and policy decisions that make automation possible.

Requirements

  • 8+ years of credit underwriting or credit risk experience.
  • 3+ years of experience leading a credit team with a proven track record of designing operating models, not just managing existing ones.
  • Commercial Credit Expertise: Deep experience in business or commercial underwriting—setting credit limits, interpreting financial signals, and making independent credit decisions.
  • Risk & Bureau Tools: Hands-on experience with commercial credit bureaus (D&B or equivalent) and end-to-end ownership of KYB (Know Your Business) processes.
  • Automation-Minded Philosophy: You view manual underwriting as a temporary state, actively track human-in-the-loop decision metrics, and systematically work to drive automation rates up.
  • Portfolio Analytics & Reporting: Proven capability in tracking key metrics like delinquency, cohort performance, and limit utilization, alongside strong written communication for clear exception documentation and executive updates.
  • Industry Context: Background in a fast-paced fintech, corporate card, or SMB credit environment.

Nice To Haves

  • Experience contributing to automated credit decisioning engines
  • Proficiency in SQL or Snowflake for self-serve data analysis.

Responsibilities

  • Hold the credit team accountable to the underwriting standard — set decision quality expectations, review portfolio performance, and ensure the team executes with consistency and rigor.
  • Write and own the credit underwriting standard: what signals support which limits, what triggers exception treatment, and what the escalation path is.
  • Build backtest infrastructure — run proposed rule changes against historical application data before deploying, including false positive analysis on approved accounts.
  • Partner with Data Science on credit model inputs, validation, and the transition from manual review to automated decisioning.
  • Lead and develop the credit team — set expectations, provide feedback, and build analytical capability.
  • Deliver portfolio analytics to leadership — delinquency rates, cohort performance, limit utilization, and exception trends.
  • Coordinate with Fraud Operations on application fraud signals that overlap with underwriting decisions.
  • Partner with senior leadership on credit policy governance — ensuring credit policy changes go through the right review and sign-off process.

Benefits

  • Equity for all employees
  • Competitive base pay
  • Potential for annual bonus or commissions (depending on role)
  • Full list of benefits at engine.com/culture
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service