Senior Salesforce Architect & Integrations Lead

Affirm

Washington (District of Columbia)

On-site

USD 146,000 - 225,000

Full time

14 days+

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Benefits offered by this job

Health coverage for you and dependents
ESP P— Employee stock purchase plan
Flexible Spending Wallets
Generous time off

Job summary

Affirm is seeking a Senior Salesforce Architect on the Revenue Team to lead design and governance of CPQ, CLM, and integrations across Salesforce, Ironclad, and data platforms. You will drive multi‑quarter initiatives, mentor engineers, and partner with Engineering, Sales, Legal, and Operations to translate business needs into scalable solutions.

You’ll evaluate new Salesforce capabilities, guide adoption, and ensure security, performance, and maintainability while aligning pricing data models

Qualifications

  • BA/BS or equivalent 4‑year degree or equivalent experience.
  • Expert-level proficiency in Salesforce.com (5+ years in complex enterprise orgs).
  • 4+ years of experience developing with Apex, Lightning Web Components, and Salesforce Flow.
  • 2+ years of experience building and maintaining integrations with Workato or comparable iPaaS tools, including recipe design, error handling, and documentation.
  • Proficiency with Salesforce DevOps tooling, including Gearset or comparable CI/CD platforms and Salesforce DX / Git‑based source control workflows.
  • Familiarity with Salesforce Agentforce and Einstein AI capabilities and how they apply to Revenue workflows.
  • Exceptional written and verbal communication skills, with a track record of translating complex technical work into clear updates for business stakeholders and leadership.

Responsibilities

  • Define and review technical designs for custom development, integrations, and data migrations, ensuring adherence to best practices for security, performance, and long-term maintainability
  • Serve as a technical thought leader by continuously evaluating new Salesforce capabilities, including Salesforce Flow, Agentforce, and Einstein AI, and proactively recommending adoption paths that deliver measurable business value
  • Design, build, and govern integrations between Salesforce and adjacent systems using Workato, and drive complex multi‑quarter initiatives end‑to‑end, owning solution architecture, scoping, risk assessment, and communication on timelines and tradeoffs
  • Partner closely with XFN stakeholders across Engineering, Sales, Legal, and Operations to gather requirements, co‑design solutions, and communicate clearly across technical and non‑technical audiences throughout the delivery lifecycle
  • Mentor and actively develop other Salesforce engineers on the team, providing architecture guidance, reviewing design decisions, sharing knowledge through pairing and documentation, and supporting the team's long‑term growth and career development
  • Set the strategic direction for the optimization and evolution of Salesforce, Ironclad, and adjacent Revenue systems, ensuring solutions scale with the business and materially improve merchant and revenue organization experiences
  • Own end‑to‑end architecture and governance of CPQ solutions and cross‑system contract lifecycle strategy, aligning CLM, CRM, and data platforms while defining standards for pricing data models, contract alignment, and downstream reporting to ensure accuracy, scalability, audit‑ability, and compliance

Skills

Salesforce
Apex
Lightning Web Components
Workato
Salesforce CPQ
CI/CD tooling
Communication
Cross-functional collaboration

Education

BA/BS or equivalent

Tools

Gearset
Salesforce DX
Git-based source control
Einstein AI

Job description

Affirm is seeking a Senior Salesforce Architect on the Revenue Team to lead design and governance of CPQ, CLM, and integrations across Salesforce, Ironclad, and data platforms. You will drive multi‑quarter initiatives, mentor engineers, and partner with Engineering, Sales, Legal, and Operations to translate business needs into scalable solutions.

You’ll evaluate new Salesforce capabilities, guide adoption, and ensure security, performance, and maintainability while aligning pricing data models

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