GTM Platform Engineer

Immuta

Austin, TX or Columbus, OH

Full-Time

Mid (3-6 yrs)

Engineering & Development

Posted on July 27, 2026

ABOUT THE ROLE

We're hiring a Go-To-Market (GTM) Engineer to join the Growth organization, where you'll work directly with Sales, Marketing, RevOps, and beyond to translate GTM strategy into action by building systems, running experiments, activating signals, and scaling what works.

This is a hands-on systems role. You'll design and ship the data pipelines, automation systems, scoring models, and AI-assisted workflows that power how Immuta identifies, reaches, and converts enterprise buyers. You won't be handing off requirements to an engineering team — you'll be writing the code, wiring the integrations, and owning the output end-to-end.

CORE RESPONSIBILITIES

Signal Aggregation & Scoring Systems

Build and maintain ICP scoring models, intent signal pipelines, and account prioritization logic sourced across our stack (Salesforce, Apollo, Warmly, Clay, and more)
Own the data transformation layer: pulling from CRM, enrichment APIs, and intent platforms, normalizing and enriching, and writing clean outputs back to Salesforce or downstream activation tools
Partner with RevOps on data definitions and quality to ensure scoring logic runs on trustworthy inputs

AI-Assisted GTM Workflows

Apply LLMs to automate research, contact enrichment, signal extraction, and outreach personalization at scale
Design workflows that are measurable, testable, and repeatable — not one-off prompts
Reduce manual effort across Sales and Marketing by replacing high-frequency, low-complexity tasks with reliable automation

Middleware & Integration Infrastructure

Build lightweight orchestration systems that connect GTM tools across the stack
Own the full lifecycle: standing up, maintaining, and iterating on integrations as the tool stack evolves
Know when to use n8n vs a custom FastAPI endpoint vs a scheduled Python job, and implement whichever is right

Experimentation & Measurement

Build the scaffolding that lets the team run GTM experiments across audiences, channels, and messaging
Instrument experiments with enough signals to distinguish what's working from what's noise
Operationalize successful approaches by moving from one-off test to repeatable, scalable system

REQUIRED EXPERIENCE

Experience: 5+ years in Sales Ops, GTM Ops, RevOps, Marketing Ops, or a related technical role
Python: Proficiency with pandas, data transformation pipelines, scoring model construction, and structured output formatting — comfortable owning a codebase, not just running scripts
Integration Engineering: Hands-on experience building systems that ingest data from multiple sources, apply transformation logic at a midpoint layer, and route outputs to a destination (Zapier, n8n, or custom API orchestration)
Salesforce: Strong data fluency — you know the object model, can write SOQL, and understand how CRM data needs to be structured to be usable downstream
Problem Solving: Experience translating open-ended business questions into working systems with minimal specification; consulting, agency, or early-stage SaaS backgrounds are a strong fit
LLMs: Familiarity with LLMs in production contexts — classification, extraction, summarization, and prompt chaining (not just vibe coding)