GTM Systems Architect | AI-Driven Revenue Engine

Profound; New York (NY); On-site; USD 150,000 - 215,000; Full time

Job summary

Profound is the fastest-growing AI marketing platform powering the GTM stack for leading brands. We seek a Revenue Architect to design, build and run the systems that connect Salesforce to the data warehouse, CPQ, enrichment and automation tools at hyper-growth scale.

You will architect data contracts, pipelines and integrations and deploy production-grade solutions. This build role requires deep Salesforce fluency and hands-on experience with LLM-powered agents to drive scalable outcomes.

Qualifications

• 5+ years in Revenue Systems, Business Systems, GTM Engineering or RevOps at high-growth B2B SaaS companies.
• Proven pipelines and integrations you designed and shipped.
• Fluency with Salesforce data model; ability to read/write Apex, LWC and Flow.

Responsibilities

• Architect the GTM stack end to end with scalable integrations across Salesforce, data warehouse, CPQ and marketing tools.
• Engineer on the Salesforce platform using Apex, LWC and Flow with a focus on the warehouse where appropriate.
• Deploy AI as part of the system by building LLM-powered agents for data research and deal intelligence.
• Model data for Sales, Marketing, Customer Success and Finance to support attribution and forecasting.
• Set engineering standards across the GTM stack: sandbox, version control, CI/CD and governance.

Skills

Python

JavaScript

Salesforce

LLMs

Tools

Apex (Salesforce)

LWC

Flow

Claude Code

Job description

Profound is the fastest-growing AI marketing platform powering the GTM stack for leading brands. We seek a Revenue Architect to design, build and run the systems that connect Salesforce to the data warehouse, CPQ, enrichment and automation tools at hyper-growth scale.

You will architect data contracts, pipelines and integrations and deploy production-grade solutions. This build role requires deep Salesforce fluency and hands-on experience with LLM-powered agents to drive scalable outcomes.