Engine Logo

Engine

Senior Manager, Credit

Posted 4 Days Ago
Be an Early Applicant
Easy Apply
Remote
Hiring Remotely in United States
151K-178K Annually
Senior level
Easy Apply
Remote
Hiring Remotely in United States
151K-178K Annually
Senior level
Owns the corporate card underwriting operating model, including credit standards, portfolio analytics, backtesting, policy governance, and automated decisioning. Leads the credit team, partners with Data Science on model inputs and validation, coordinates fraud-signal reviews, and delivers delinquency, cohort, utilization, and exception reporting to leadership. Drives the transition from manual underwriting toward automated credit decisions while maintaining rigorous quality and escalation processes.
The summary above was generated by AI
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 USD

The 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

Similar Jobs at Engine

Yesterday
Easy Apply
Remote
United States
Easy Apply
157K-185K Annually
Senior level
157K-185K Annually
Senior level
Artificial Intelligence • Fintech • Software • Travel
Own full-cycle recruiting for Product Delivery roles, including Product Management, Product Design, Growth, and leadership hiring. Build sourcing strategies, market maps, interview processes, portfolio evaluation standards, rubrics, and scorecards from the ground up. Partner with senior Product, Marketing, Growth, and executive stakeholders, use recruiting data to guide decisions, represent Engine to candidates, and support GTM hiring as priorities change.
Yesterday
Easy Apply
Remote
United States
Easy Apply
183K-215K Annually
Entry level
183K-215K Annually
Entry level
Artificial Intelligence • Fintech • Software • Travel
Own and execute the application security program, including SIEM management, threat detection, architecture and code reviews, vulnerability management, security testing, incident response, forensic investigations, and security tooling. Partner with engineering and infrastructure teams to remediate vulnerabilities, promote secure coding, develop training, and improve enterprise security through cloud, container, compliance, and monitoring practices.
Top Skills: C#Ci/CdDastDockerIastJavaKubernetesMitre Top 25Node.jsOwasp Top 10PciPythonRubySastSIEMSoc 2
4 Days Ago
Easy Apply
Remote
United States
Easy Apply
173K-240K Annually
Expert/Leader
173K-240K Annually
Expert/Leader
Artificial Intelligence • Fintech • Software • Travel
Leads Engine’s airline and car rental supply strategy, senior partner relationships, supplier negotiations, connectivity models, and commercial alignment. Owns the roadmap for supplier coverage and performance while partnering with Product, Engineering, Pricing, and Operations. The role evaluates tradeoffs among customer experience, coverage, performance, and margin; tracks supply KPIs; and monitors airline distribution, regulatory, and competitive trends.
Top Skills: Api-Based Distribution PlatformsArcGdsNdc

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account