# Revenue Systems Architect (AI & Automation)

**Company:** [Jellyfish](https://hotfix.jobs/companies/jellyfish)
**Location:** Remote
**Role:** GTM Engineering
**Salary:** $180k – $225k/yr
**Experience:** 7+ years
**Skills:** Salesforce Sales Cloud, CPQ, Apex, Lightning Web Components, Soql, REST APIs, Soap Api, AI Agents, Clay, Middleware
**Posted:** 2026-05-08

> Architects and evolves AI-first revenue systems including Salesforce, CPQ, and billing integrations. Leads development in Apex/LWC, deploys AI agents for GTM automation, and partners cross-functionally on data governance and strategy. Requires 7+ years Salesforce experience with architect-level expertise.

## Job Description

## Responsibilities
- Own the architecture and evolution of revenue systems stack, including Salesforce Sales Cloud, modern CPQ solution, and billing integrations.
- Lead complex configuration and development across Apex, Lightning Web Components, and custom integrations.
- Oversee data governance, migration strategy, and system integrity across the full GTM stack.
- Build and deploy AI agents for account research, CRM hygiene, post-call follow-ups, and signal-based outbound workflows.
- Automate repetitive work across the GTM org and replace it with intelligent, auditable processes.
- Partner with Sales, Finance, Marketing, Engineering, and Security to translate strategy into technical specifications.
- Represent systems decisions directly with Finance and cross-functional leadership on data integrity and sign-off.
- Challenge existing processes and own documentation.

## Requirements
- 7+ years in the Salesforce ecosystem with at least 2 years in an architect-level role.
- Deep hands-on experience with Salesforce Sales Cloud and CPQ implementation, customization, and production support.
- Proficiency in Apex, Lightning Web Components, SOQL, REST/SOAP API integrations, and middleware patterns.
- Proven experience deploying AI agents or AI-assisted workflows in a GTM context, shipped to production.
- Hands-on experience with Clay or comparable enrichment and automation platforms.
- Strong track record working across GTM, Finance, Engineering, and Security stakeholders.
- Background at a high-growth B2B SaaS company that has gone through a GTM systems transformation.
- Experience replacing or restructuring legacy systems while keeping the business running.
- A clear point of view on where AI replaces human judgment in GTM workflows.

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