AI-Driven Salesforce Architect for CPQ & Revenue Cloud

Altera

San Jose (CA)

On-site

USD 209,500 - 303,200

Full time

14 days+
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Job summary

Altera in San Jose, California, seeks a hands-on Sr. Solution Architect to lead design and delivery of Salesforce solutions across Sales Cloud, Revenue Cloud, CPQ, and built‑in AI agents.

You will own end‑to‑end architecture, guide prototypes and integration patterns, and mentor the team, leveraging Agentforce, Claude, Cursor, and modern engineering practices to deliver scalable, compliant solutions.

Qualifications

  • Bachelor's degree in CS, IT, or related field; Master’s preferred.
  • 10+ years hands-on Salesforce Technical Solution Architect experience with large CRM/CPQ implementations.
  • Extensive Salesforce CPQ and Revenue Cloud configuration incl. pricing rules, product bundles, subscriptions, and revenue recognition.
  • Hands-on Agentforce development and deployment in a production Salesforce org.

Responsibilities

  • Own end-to-end architecture and delivery of scalable Salesforce solutions across Sales Cloud, Revenue Cloud / CPQ — spanning the full Lead-to-Quote lifecycle.
  • Translate ambiguous business requirements into clear, well‑architected designs: data model, automation, integration patterns, and UX.
  • Design and build custom Agentforce agents and Claude-based agents.
  • Lead discovery and requirements workshops to define current and future state processes for Sales Cloud and Revenue Cloud.
  • Define SIT/UAT test plans for Lead-to-Quote and CPQ workflows; support enablement, admin guides, and training materials.

Skills

Salesforce Architecture
CPQ & Revenue Cloud
Agentforce
Cursor AI IDE
Apex & LWC
APIs & Integrations
Agile delivery
Stakeholder communication

Education

Bachelor's Degree in CS/IT or related
Master’s Degree preferred

Tools

Claude
Cursor

Job description

Altera in San Jose, California, seeks a hands-on Sr. Solution Architect to lead design and delivery of Salesforce solutions across Sales Cloud, Revenue Cloud, CPQ, and built‑in AI agents.

You will own end‑to‑end architecture, guide prototypes and integration patterns, and mentor the team, leveraging Agentforce, Claude, Cursor, and modern engineering practices to deliver scalable, compliant solutions.

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