Staff Engineer (Revenue)

TL;DR

Staff Engineer (Backend/Revenue): Designing and owning the technical vision for the Revenue Zone, focusing on billing, subscriptions, and payment infrastructure with an accent on API design and financial correctness. Focus on building flexible pricing primitives, optimizing system performance, and ensuring finance-grade scalability for a global automation platform.

Location: Remote in North, Central, and South America

Salary: $210,700 – $316,100 (USD) / CA$210,700 – CA$316,100 (CAD)

Company

hirify.global builds and uses automation tools to make work more efficient, creative, and human.

What you will do

• Own the technical vision and long-term architecture for the Revenue Zone, including billing, subscriptions, payments, and checkout.
• Define pricing primitives and data models that enable rapid pricing and packaging changes.
• Lead high-impact initiatives such as decoupling billing from account systems and consolidating pricing infrastructure.
• Ensure the resilience, observability, and absolute correctness of revenue-critical systems.
• Influence API design, data modeling, and caching strategies to optimize for scalability and developer experience.
• Mentor engineers, conduct code reviews, and raise the technical bar across the organization.

Requirements

• Proven engineering impact in complex, production systems at scale (typically 8+ years of experience).
• Strong domain knowledge in billing systems, subscription management, payment processing, or financial platforms.
• Expertise in designing APIs for multiple consumers and resolving performance bottlenecks.
• Experience leading cross-team technical initiatives and aligning stakeholders in ambiguous environments.
• Fluency with AI coding tools and the judgment to apply them responsibly in high-correctness domains.
• Must be based in North, Central, or South America.

Culture & Benefits

• All-remote company culture with a focus on transparency and equitable compensation.
• Competitive salary with offers of equity and bonuses.
• Support for using AI tools responsibly and transparently during work and hiring.
• Emphasis on impact and capability over tenure.