Engineering Manager, Consumer Credit Cards Marketplaces

At NerdWallet, we’re on a mission to bring clarity to all of life’s financial decisions and every great mission needs a team of exceptional Nerds. We’ve built an inclusive, flexible, and candid culture where you’re empowered to grow, take smart risks, and be unapologetically yourself (cape optional). Whether remote or in-office, we support how you thrive best. We invest in your well-being, development, and ability to make an impact because when one Nerd levels up, we all do.

The Consumer Credit Cards team owns web shopping experiences for one of NerdWallet's largest and most mission-critical verticals, serving millions of users making real financial decisions. You'll work across a modern full-stack: Next.js and React on the frontend, GraphQL federation and Node.js services on the backend, deployed on edge infrastructure built for scale and speed. Page performance and Core Web Vitals directly move rankings, conversion, and revenue, so the technical work here has a visible, measurable business impact. We build fast, and we build with data: rapid product-led experimentation, direct input into the company's strategic roadmap, and close collaboration with Paid Marketing and SEO strategists to turn engineering decisions into business outcomes.

If you thrive on high-impact work, solving technical challenges, and shaping the future of financial shopping experiences on the web, this is the place for you.

We're looking for a hands-on player coach Engineering Manager to lead the Consumer Credit Cards Marketplaces team. You act as a pace setter and multiplier for the team, helping to mentor and build your team up to your standards of execution. You'll be deeply involved with the technical day-to-day of the team, helping the team to deliver on the product backlog, contributing to the engineering excellence roadmap, setting architectural direction and ensuring high-quality delivery throughout. You'll be diving in when needed to help set the standards and drive quality. You'll also be responsible for the people management for a team of 3-4 engineers: 1-on-1s, career development and performance management. You bring strong technical judgement to the role, having experience being the senior-most engineer on your team. You avoid micromanagement, choosing to lead through influence and mutual respect rather than authority. You're as excited about delivering high-quality work as you are finding opportunities to unlock growth for your people.

You embrace AI development tools and modern engineering practices, focusing on balancing quality with delivery velocity. You're using AI tools to reshape the Software Development Lifecycle, delegating as much to your team as you are to agentic workflows. You will help the team build out a robust AI developer harness, utilize a consistent spec-driven development workflow and integrate AI skills into every facet of process: from architecture & planning to development, QA, code review and release. You are creating agentic workflows to automate away the toil from your day to day, as well as your team's, with the right guardrails in place to keep quality and compliance high as you go.

You'll collaborate closely with stakeholders from across the organization, including: SEO strategists, Paid Marketers, Product, Business Development, Data & Analytics, etc. to drive meaningful business value, focusing your efforts on growing the business rather than engineering for the sake of it.

This role reports to the Head of Engineering for Consumer Banking, Credit Cards & New Markets.

Where you can make an impact:

• Own both the technical direction and the people outcomes for a team building some of NerdWallet's highest-traffic web shopping experiences.
• Drive architecture, technical decisions, planning, and milestones.
• Build and evolve the team's AI dev harness and orchestrate agentic automations across the software lifecycle, from spec to review to deployment.
• Develop your engineers' AI-era skills: effective prompting, spec-writing, and reviewing AI-generated code and designs.
• Manage and develop your engineers: run 1:1s, give feedback, set growth plans, and hold a performance bar.
• Take input from and partner directly with engineering leadership to drive technical initiatives that enhance performance, observability, scalability, security, and developer experience.
• Contribute to platform stability and resilience through effective monitoring, troubleshooting, and incident management.
• Ensure high standards of technical excellence, maintaining a high-quality codebase and driving modernization efforts including AI tooling adoption.

Your experience:

We recognize not everyone will meet all of the criteria. If you meet most of the criteria below and you're excited about the opportunity and willing to learn, we'd love to hear from you.

• 8+ years in software engineering with a strong background as a hands-on Technical Lead.
• Expertise in TypeScript, React and Node.js, with experience in additional modern languages.
• Strong experience with modern front-end frameworks such as Next.js and React.js, with an understanding of web performance, Core Web Vitals, and technical SEO.
• Experience architecting and building back-end APIs and microservices, with a focus on scalability, performance, and data integrity.
• Strong understanding of database systems (both SQL and NoSQL), with experience in high-volume data processing.
• Experience with cloud infrastructure (AWS, GCP, or Azure), CI/CD pipelines, containerization, and orchestration technologies like Docker and Kubernetes.
• Knowledge of security and compliance best practices, particularly in financial services.
• Experience in observability and running production applications, especially marketplaces, at scale.
• Hands-on experience with AI development tools and advanced AI-enabled development workflows: building a development harness, agentic automations / workflows, spec-driven development, etc.

Preferred Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• Experience with integrating Machine Learning systems, personalization pipelines, and data-driven experimentation.
• Domain knowledge in finance and shopping marketplaces.
• Understanding of accessibility best practices and a keen eye for usability and user experience.
• Familiarity with paid and organic search strategies and how engineering decisions impact business outcomes.