
1001 - 5000 employees
💼 Consulting
🏪 Marketplace
☁️ SaaS
💰 $185M Venture Round on 2022-04
Consulting • Marketplace • SaaS
Pax8 is an AI-powered digital marketplace designed specifically for small businesses. It serves as a platform for partners and vendors, offering resources, professional services, and events tailored to help businesses grow and succeed. Pax8 emphasizes building security solutions while providing extensive support and learning opportunities through its Pax8 Academy and collaboration within its partner community.
🕒 October 6
🇺🇸 United States – Remote
💵 $226k - $304k / year
⏰ Full Time
🔴 Lead
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 2%
Where this job comes from
Posted on Pax8's careers page, not through a job board
First seen by Remote Rocketship October 6
Still open on Pax8's site. Checked 3 hours ago.

1001 - 5000 employees
💼 Consulting
🏪 Marketplace
☁️ SaaS
💰 $185M Venture Round on 2022-04
Consulting • Marketplace • SaaS
Pax8 is an AI-powered digital marketplace designed specifically for small businesses. It serves as a platform for partners and vendors, offering resources, professional services, and events tailored to help businesses grow and succeed. Pax8 emphasizes building security solutions while providing extensive support and learning opportunities through its Pax8 Academy and collaboration within its partner community.
• Own, build, and operate a technically complex FinTech system with its own technical strategy • Drive specifications, architecture, implementation, and production operation • Apply domain expertise across product information, pricing, orders, subscriptions, fulfillment, usage, and financial transactions • Build subscription and usage-based commerce capabilities, including metering, token consumption, billing, and settlement • Make consequential decisions about what to build, scale, or retire on ambiguous problems • Optimize the revenue lifecycle end to end across ownership boundaries • Identify high-impact problems and build solutions using AI agents and enterprise-approved tools • Use spec-driven development to define business rules, system behavior, edge cases, and acceptance criteria • Design for financial correctness, data integrity, auditability, and resilient operation • Instrument systems for adoption, usage, reliability, and financial accuracy • Partner with Product, Finance, Compliance, Operations, Commercial, and engineering teams • Implement financial controls and traceability supporting auditability, revenue recognition, taxation, and compliance • Build platform capabilities for trusted financial experiences • Mentor engineers on architecture, domain tradeoffs, validation, and production risk • Identify and address financial errors, data loss, security vulnerabilities, and AI-specific risks before release • Lead discovery, spikes, prototypes, proofs of concept, and hardened production rollouts • Write precise documentation for consuming teams • Present technical direction to engineering and product audiences
• Meaningful hands-on experience building and operating production systems across two or three FinTech areas: PIM, CPQ, O2C, FEM, FX, or reconciliation and settlement • Experience with payments, subscriptions, revenue recognition, and/or financial reconciliation • Experience with subscription lifecycle management, usage-based consumption, pricing structures, and billing operations • Ability to implement financial controls and auditable workflows with Finance and Compliance • Ability to translate domain rules into explicit specifications and testable system behavior, including failure scenarios and financial edge cases • Understanding of upstream and downstream effects across financial records, customer access, and operational workflows • Experience mentoring Software Engineers toward owning highly complex systems • Experience taking techniques from research or external sources through prototype, proof of concept, and hardened production rollout • Understanding of AI capabilities and limitations • Proficiency using enterprise-approved AI tools, including Claude • Knowledge of data classification and privacy principles for AI systems • Responsible AI knowledge, including bias mitigation, fairness, and transparency • Advanced prompting proficiency, including multi-turn context setting, chain-of-thought elicitation, structured output enforcement, and iterative refinement • Ability to build and own evaluation and validation infrastructure for AI-assisted or AI-native systems • Ability to scrutinize agent-produced code in highly complex systems • Ability to track AI-specific vulnerability classes and evolving state-of-the-art techniques • Must hold valid right to work in United States
• Competitive compensation package • Annual bonus opportunity • Employee stock options • Comprehensive medical, dental and vision coverage • 401(k) retirement plan with employer match • Flexible paid time off • Paid volunteer time • Wellness initiatives and employee assistance programs • Continuous learning and development opportunities • Dedicated professional development resources • Collaborative remote-first culture • Access to innovative technologies and AI-powered learning tools • Employer-Paid Life, AD&D, Short-Term Disability & Long-Term Disability Insurance • Flexible Open PTO • Paid Sick Leave • Paid Parental Leave • RTD EcoPass (eligible Colorado-based employees) • Employee Assistance Program (EAP)
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