Strong fit for experienced credit professionals who lead teams and build automated underwriting systems, operating in a remote US-based fintech environment with a focus on corporate card risk control.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Engine via Greenhouse
About Engine
Engine is the AI-native platform for intelligent travel. For a decade, Engine has built the proprietary technology and supply behind modern business travel, serving over 38,000 customers and nearly 2 million travelers, along with leading travel and AI companies that build on Engine's infrastructure. One system powers business travel, group travel, human agents, and AI agents.
That work has earned recognition as one of Fast Company's Best Workplaces for Innovators (2025), TravelTech's Reservation Platform of the Year (2026), and one of Built In's Best Places to Work (2020–2026).
We're looking for bold, ambitious people to help redefine how businesses manage and experience travel. Working here, you can expect exponential growth, an ambitious pace, full ownership, and high-caliber colleagues who push you to do the best work of your career. Every hire raises the bar.
Come outpace the ordinary and build the future of travel with us.
About the Role
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.
What You'll Do
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.
What We're Looking For
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.
Bonus Qualifications: Experience contributing to automated credit decisioning engines; proficiency in SQL or Snowflake for self-serve data analysis.
Applications for this role will be accepted through 01/27/2027 or until the role is filled. We encourage you to apply early, as we may begin reviewing applications before the deadline.
Compensation
Our compensation packages are based on several factors, including your experience, expertise, and location. In addition to a competitive base salary, all roles receive equity. Depending on the role, total compensation may also include an annual bonus. Your recruiter will share your complete compensation package as you move through the process.
Base Pay Range$151,300—$178,000 USDThe Engine Edge: Perks & Compensation
We believe in rewarding great work with great benefits:
Compensation: Competitive base pay tied to role and experience, with equity for all employees. Some roles are also eligible for bonuses or commissions.
Benefits: Check out our full list at engine.com/culture
Environments for Success: Different roles have different needs in terms of the environments that drive success which is why we have a hybrid-hub model. Whether you are in one of our amazing offices or fully remote, we'll make sure you have what you need to succeed.
Perks and benefits may vary based on employment type, location, and more
Source: Engine careers (Greenhouse)