Staff Software Engineer - Fintech

Pax8

2d•$225,000 - $325,000•Remote

About The Position

Pax8 is the technology marketplace of the future, linking partners, vendors, and small to midsized businesses (SMBs) through AI-powered insights and comprehensive product support. With a global partner ecosystem of over 35,000 managed service providers, Pax8 empowers SMBs worldwide by providing software and services that unlock their growth potential and enhance their security. Committed to innovating cloud commerce at scale, Pax8 drives customer acquisition and solution consumption across its entire ecosystem. Our purpose is to help every small business turn their dreams into reality through the power of technology. Culture is important to us, and at Pax8, it’s business, and it IS personal. We embody Compassionate Candour by aiming to assist others with candid, actionable feedback. We Seek to Understand by being open, curious, and committed to learning. We believe in We Before Me, actively collaborating and seeking out diverse perspectives to ensure a win for Team Pax8. Our team takes pride in Do What You Say, taking ownership, honoring commitments, prioritizing, and delivering on promises. We encourage everyone to Light Up Learning by being brave and trying new ideas, embracing vulnerability, and sharing failures so everyone can learn. Finally, we are Driven by Passion, connecting personal passion to Pax8's mission, and remaining resilient in the face of adversity and uncertainty in pursuit of our goals. At Pax8, we are passionate, creative, and humorously offbeat. We work hard, keep it fun, and expect the best. Position Summary: The Staff Software Engineer in FinTech combines deep technical ownership with systems thinking to build Pax8's next-generation Revenue Lifecycle Management platform. This platform provides the financial infrastructure behind our global marketplace, supporting how technology is bought, sold, billed, settled, and managed. As Pax8 evolves toward a managed intelligence marketplace, this role also helps build the commerce foundations for the AI economy. You will develop capabilities that support subscription and usage-based consumption models, including token consumption and emerging AI-driven transactions, with the accuracy, reliability, auditability, and scale required of financial infrastructure. Our FinTech group spans Product Information Management (PIM); Configure, Pricing, Quote (CPQ); Order to Cash (O2C); Fulfillment, Entitlement, and Metering (FEM); Foreign Exchange (FX). We are looking for engineers with meaningful experience across two or three of these areas, with relevant backgrounds that may include payments, subscriptions, revenue recognition, and financial reconciliation. This role combines that domain experience with a Frontier engineering profile: an AI-native, hands-on builder who uses spec-driven development and agents to increase engineering productivity while retaining accountability for architecture, code quality, validation, and production outcomes. The Staff Software Engineer is individually accountable for building, hardening, and operating a system that other teams and business functions depend on. They hold the problem space long enough to develop deep expertise and innovate within it. They earn the right to set its direction by shipping and running the system. This role is measured on five dimensions: Craftsmanship, Impact, Mentorship, Safety, and State of the Art. At staff level, judgment, systems thinking, and safety must support consequential decisions in systems with broad financial and organizational reach. This role is measured on five dimensions (Craftsmanship, Impact, Mentorship, Safety, and State of the Art). What separates it from Software Engineer is that Judgment, Systems Thinking, and Safety now have to hold up against a problem where being wrong is expensive and, often, no one else is positioned to catch it.

Requirements

Meaningful hands-on experience building and operating production systems across two or three of the following areas: Product Information Management (PIM), Configure, Pricing, Quote (CPQ), Order to Cash (O2C), Fulfillment, Entitlement, and Metering (FEM), Foreign Exchange (FX), Reconciliation and Settlement.
Relevant experience may include payments, subscriptions, revenue recognition, and financial reconciliation.
Experience with subscription lifecycle management, usage-based consumption, pricing structures, and billing operations within your areas of expertise.
Ability to implement financial controls and auditable workflows in partnership 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 how upstream changes affect downstream financial records, customer access, and operational workflows.
Building: Builds and operates a system that is hard enough to need its own technical strategy and technically deep in its own right, and helps drive the technical specs for it. Builds the tool that eliminates a repeated problem.
Judgment: Makes high-stakes calls on what to build, scale, or kill when the data runs out, and escalates the ones that belong to product
Writing: Documents at a level that sustains other teams consuming the system without a standing meeting, and presents technical direction to engineering and product audiences
Outcomes: Instruments the system and proves delivered value against a falsifiable, data-backed standard
Systems Thinking: Lands fixes across ownership boundaries when the end-to-end view demands it, regardless of who owns the code
Mentorship: Grows another engineer's judgment
Safety: Applies a categorically higher bar to irreversible-consequence risk on a system with organization-wide reach
State of the Art: Owns the pipeline for adopting new techniques in the problem space
Understand AI capabilities and limitations and apply that judgment in daily engineering decisions
Use enterprise-approved AI tools (Claude) as primary productivity accelerators across the full development lifecycle
Apply Pax8 data classification and privacy principles before sharing any data with AI systems
Practice responsible AI: recognize and mitigate bias, uphold fairness and transparency requirements
Advanced prompting proficiency: multi-turn context setting, chain-of-thought elicitation, structured output enforcement, and iterative refinement
Build and own eval and validation infrastructure for AI-assisted or AI-native systems within your problem space, the layer that determines whether output is correct rather than merely plausible
Apply elevated scrutiny to agent-produced code within a highly complex system
Track state-of-the-art techniques and AI-specific vulnerability classes as they evolve, and be the one who notices when either changes and the one who ships the response into production
Must hold valid right to work in United States.

Nice To Haves

Track record of being the de facto owner of a problem space that most of the organization depends on, earned by building and running it rather than by advising on it
Experience mentoring other Software Engineers toward owning highly complex systems
Experience taking a technique from a paper or external source through prototype and proof of concept into a hardened, safety-reviewed production rollout

Responsibilities

Own, build, and operate a technically complex FinTech system that requires its own technical strategy. Drive precise specifications, architecture, implementation, and production operation.
Apply domain expertise across relevant revenue lifecycle areas, understanding how product information, pricing, orders, subscriptions, fulfillment, usage, and financial transactions affect one another.
Build commerce capabilities for subscription and usage-based models, including metering, token consumption, billing, and settlement, in partnership with Product.
Make consequential calls about what to build, scale, or retire on ambiguous problems. Drive them to clarity through iteration and collaboration, and own the outcome.
Exercise systems thinking beyond your ownership boundary. Optimize the revenue lifecycle end to end, adjust plans when a local improvement creates downstream problems, and pursue the right fix through influence, contribution, or escalation.
Own your domain: identify high-impact problems, scope solutions, and build them using AI agents and enterprise-approved tools across the development lifecycle.
Use spec-driven development to make business rules, system behavior, edge cases, and acceptance criteria explicit enough to guide both engineers and agents.
Design for financial correctness, data integrity, auditability, and resilient operation across interconnected systems.
Instrument systems for adoption, usage, reliability, and financial accuracy from the start. Prove delivered value against a falsifiable, data-backed standard.
Partner with Product, Finance, Compliance, Operations, Commercial, and engineering teams to translate financial and commercial requirements into reliable software, escalating business policy decisions to the appropriate owners.
Implement financial controls and traceability that support auditability, revenue recognition, taxation, and applicable compliance requirements in collaboration with domain experts.
Build platform capabilities that enable trusted, intuitive financial experiences for partners and internal stakeholders.
Mentor engineers toward owning complex systems and strengthen their judgment about architecture, domain tradeoffs, validation, and production risk.
Apply a high bar to safety, security, and irreversible consequences. Identify and address financial errors, data loss, security vulnerabilities, and AI-specific risks before release, including deciding when a system is not ready to ship.
Run the full lifecycle for adopting new techniques: discovery, spike, prototype, proof of concept, and hardened production rollout.
Write documentation precise enough for other teams to consume your systems without a standing coordination meeting.

Benefits

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
401(k) with Company Match
Medical, Dental & Vision Coverage
Employee Assistance Program (EAP)
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)