Quote-to-Cash Architect

Avalara•UNAVAILABLE, UNAVAILABLE

About The Position

Avalara’s Quote-to-Cash (Q2C) systems are foundational to revenue accuracy, subscription scalability, customer retention, and cash flow performance. As Avalara expands its product portfolio, modernizes monetization models, and increases automation across quoting, billing, entitlements, provisioning, and revenue operations, we need a dedicated Q2C Architect with deep SaaS domain experience to ensure these systems operate as a cohesive revenue platform. The Q2C Architect translates monetization strategy into scalable, compliant solution designs across Salesforce CPQ, Billing, subscription lifecycle, usage models, entitlements, provisioning, ERP integrations, and financial controls. This role ensures Avalara’s revenue systems are designed for accuracy, durability, auditability, and responsible AI-enabled automation. This role is critical to reducing order exceptions, billing defects, manual reconciliation, provisioning friction, and downstream revenue leakage while improving the speed and predictability of Avalara’s Q2C transformation. This role strengthens Avalara’s revenue engine by improving quote accuracy, billing integrity, expansion readiness, and operational scalability across SaaS monetization workflows. This role improves the customer experience by reducing billing confusion, provisioning delays, entitlement gaps, and avoidable support escalations tied to Q2C process failures. This role creates reusable Q2C architecture patterns that reduce delivery rework, improve SOX-aware system design, and enable scalable growth across Avalara’s products, markets, and customer segments.

Requirements

B.S. in Computer Science or Engineering.
8+ years of experience in enterprise systems, solution architecture, business systems architecture, or SaaS platform implementation.
5+ years of hands-on experience designing or implementing Quote-to-Cash solutions for SaaS companies.
Deep experience with SaaS monetization models, including subscriptions, renewals, amendments, usage, overages, entitlements, provisioning, billing, and revenue operations.
Hands-on experience with Salesforce CPQ, Salesforce Billing or equivalent billing platforms, ERP integrations, and enterprise CRM workflows.
Strong understanding of financial controls, auditability, SOX-aware system design, and revenue process traceability.
Experience designing integrations across CRM, CPQ, billing, ERP, product usage, entitlement, and provisioning systems.
Experience applying automation or AI capabilities to improve operational workflows.
Proven ability to work across Finance, RevOps, Sales Operations, Legal, Product, Engineering, and Customer Experience stakeholders.
Embracing AI as an essential capability.
Experience using AI and AI-related technologies.
Apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.
Grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.

Nice To Haves

Measurable reduction in order exceptions, billing defects, or manual reconciliation effort.
Clear Q2C solution patterns adopted by delivery teams for quoting, billing, entitlement, provisioning, and usage workflows.
Improved implementation predictability for Q2C initiatives.
Better traceability across quote, order, billing, provisioning, entitlement, and revenue processes.
At least one AI-enabled Q2C workflow improvement delivered with measurable business impact.
Strong stakeholder feedback from Finance, RevOps, Sales Operations, and delivery teams.
Reduced rework caused by unclear Q2C requirements, integration gaps, or late-stage design changes.
Hold high standards for solution clarity, completeness, ownership, and operational durability.
Demonstrate strong judgment when balancing speed, automation, financial controls, customer experience, and long-term scalability.
Raise the quality of Q2C architecture and delivery by challenging fragmented designs, unclear ownership, and short-term workarounds.
Simplify complex monetization processes into scalable, reusable solution patterns.
Leave Avalara’s Q2C ecosystem stronger, more reliable, and easier to operate than it was found.
Demonstrate applied AI capability in SaaS Q2C, revenue operations, or operational workflow improvement.
Identify AI opportunities tied to measurable outcomes such as reduced exceptions, faster processing, improved quote quality, better dispute handling, or lower manual effort.
Ensure AI use is explainable, secure, compliant, and aligned to enterprise governance.
Partner with architecture, data, AI, and delivery teams to embed AI into durable Q2C workflows.
Share AI-enabled Q2C learnings and raise the practical AI capability of adjacent teams.
Casual or occasional AI usage is not sufficient. This role must apply AI and automation in ways that materially improve Q2C performance, control quality, or operational scale.

Responsibilities

Design scalable Q2C solutions across Salesforce CPQ, Billing, subscription lifecycle, entitlements, provisioning, usage models, ERP integrations, and revenue operations.
Translate business and monetization requirements into clear solution designs, integration patterns, and implementation-ready architecture guidance.
Define solution patterns for pricing, discounting, amendments, renewals, expansions, usage-based billing, and customer hierarchy impacts.
Ensure Q2C designs align with enterprise architecture runway, Salesforce platform standards, finance requirements, and operational controls.
Partner with delivery teams to ensure architectural intent is implemented correctly and consistently.
Apply deep SaaS Q2C expertise to improve quote accuracy, billing accuracy, usage capture, entitlement enforcement, and provisioning reliability.
Identify and reduce sources of revenue leakage, manual reconciliation, billing disputes, order exceptions, and operational workarounds.
Ensure Q2C workflows support subscription, usage, overage, renewal, amendment, and multi-product expansion models.
Support scalable monetization patterns that enable cross-sell, upsell, and product expansion.
Define integration requirements and data handoffs across CRM, CPQ, billing, ERP, provisioning, usage, entitlement, and reporting systems.
Ensure system designs include traceability, auditability, error handling, reconciliation points, and clear system-of-record ownership.
Partner with Finance, RevOps, Legal, Security, and Compliance teams to ensure Q2C solutions support SOX-aware processes and financial control requirements.
Document architecture decisions, risks, assumptions, and tradeoffs through approved architecture governance practices.
Identify practical AI and automation opportunities that improve exception detection, pricing guidance, dispute routing, quote quality, provisioning accuracy, and revenue monitoring.
Ensure AI-enabled Q2C workflows are explainable, governed, secure, and aligned with enterprise AI standards.
Partner with Enterprise AI, Data, Salesforce, and Automation teams to ensure AI use cases are integrated into durable operational workflows rather than isolated experiments.
Quantify AI-enabled improvements through measurable outcomes such as reduced manual effort, fewer defects, faster cycle times, or improved decision quality.
Work closely with Finance, RevOps, Sales Operations, Legal, Product, Engineering, Security, and Customer Experience stakeholders.
Collaborate with the Principal Enterprise Architect – Q2C / Monetization and Salesforce Platform Architect to ensure solutions align to the enterprise roadmap and platform standards.
Guide delivery teams through design decisions, integration dependencies, and implementation tradeoffs.
Raise the quality and consistency of Q2C solution delivery across programs and delivery pods.