Principal Developer Experience Engineer - Remote

Company Description

At PayNearMe, we’re on a mission to make paying and getting paid as simple as possible. We build innovative technology that transforms the way businesses and their customers experience payments. Our industry-leading platform, PayXM™, is the first of its kind—designed to manage the entire payment experience from start to finish. Every click, swipe or tap is seamless, fast and secure, helping non-commerce businesses boost customer satisfaction, accelerate payments, and reduce costs.

Our single platform handles it all: cards, ACH, digital wallets such as PayPal, Venmo, Cash App Pay, Apple Pay and Google Pay, and even cash at more than 62,000 retail locations nationwide. Today, thousands of businesses across consumer lending, iGaming and online sports betting, property management, and tolling trust PayNearMe to deliver a payment experience that drives real results.

In September 2025, we raised a $50 million Series E funding round to accelerate our growth. 

We’re a team of 200+ employees across 41 states, headquartered in Silicon Valley with satellite offices in Dallas, TX and Holmdel, NJ.

Join us and be part of a team that’s shaping the future of payments—one experience at a time.

Job Description

We are seeking a Principal Developer Experience Engineer with a strong focus on AI enablement to make our engineers more effective, productive, and satisfied. This is a hands-on role: you will build, integrate, and maintain the tools and workflows that developers rely on every day. You’ll also be a thought partner, bringing new ideas for how we can apply AI responsibly and effectively in our software development lifecycle.

The ideal candidate will be passionate about developer productivity, pragmatic about tooling choices, and proactive in shaping a culture of continuous improvement. While a heavy emphasis will be on AI-centric developer tooling and training, this role will also encompass broader developer experience initiatives across the software lifecycle.

Responsibilities

AI Enablement

• Champion the effective use of AI in the software development lifecycle. Define, document, and evangelize best practices for the use of AI-powered tools, and continuously evaluate and identify new opportunities as the AI landscape evolves
• Work closely with security, legal, and compliance stakeholders to ensure that all tools are safe, appropriate, and deployed responsibly
• Provide hands-on training and workshops, develop content for our on-demand learning management system, curate or recommend external training programs, and pair directly with developers to teach AI development skills

Developer Experience & Productivity

• Implement and manage a strong technical onboarding program for developers, ensuring new hires ramp up quickly and effectively
• Partner closely with leaders in technical program management and product operations to refine and improve the software development lifecycle for effective delivery
• Ensure developer toolchains (such as IDEs, review, and testing tools) are reliable, efficient, and well-supported
• Collaborate with engineering leadership to define and measure productivity and satisfaction metrics, continuously identifying bottlenecks and opportunities

Code Quality

• Own or administer quality management tools such as linters, static analysis tools, and test coverage measurement and reporting
• Document code standards and integrate them into tools as applicable (for example, as context for AI agents and review bots)
• Partner with engineering teams to strengthen code review practices, testing strategies, and continuous integration
• Balance developer autonomy with quality management tooling, ensuring that processes enable, rather than hinder, the delivery of value

Culture & Advocacy

• Serve as an advocate for developer needs across the organization
• Foster a culture of experimentation, learning, and collaboration
• Share knowledge widely: create documentation, run workshops, and mentor teams in best practices
   

Qualifications

• 7+ years of hands-on software development experience, ideally spanning multiple languages and environments. Our current stack includes Ruby and Go codebases, and direct experience with at least one of these (preferably both) is required. Experience with Python for AI integrations is a significant plus
• Experience with Cursor is required; it is our primary IDE today
• Demonstrated track record of success implementing AI-driven engineering practices showing measurable benefits
• Excellent communication skills; ability to build consensus and influence across teams, considering multiple perspectives and developing solutions tha