GTM Engineer

Immuta; New York (NY); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Health benefits

Mental health platform

Stock options

Wellness perks

Parental leave

Learning & development

Unlimited PTO

Job summary

Immuta is hiring a Go-To-Market Engineer within the Growth organization. You will translate GTM strategy into scalable systems by building data pipelines, automation, scoring models, and AI-assisted workflows that power how enterprise buyers are identified, reached, and converted.

You will own the output end-to-end—from data ingestion from CRM and enrichment APIs to delivering clean outputs to Salesforce or downstream activation tools, writing code and orchestrating integrations across the stack.

Qualifications

• 5+ years in Sales Ops, GTM Ops, RevOps, or related technical role.
• Proficiency with Python data tooling (pandas) and data pipelines.
• Hands-on experience building systems ingesting data from multiple sources.
• Strong Salesforce data fluency and SOQL knowledge.
• Experience applying LLMs to automation and outreach workflows.

Responsibilities

• Build data pipelines and automation systems powering GTM workflows.
• Design and ship scoring models and AI-assisted workflows.
• Own integrations across the stack and output end-to-end.
• Write code and orchestrate outputs to downstream tools like Salesforce.
• Reduce manual effort by replacing routine tasks with automation.
• Instrument experiments with signals to distinguish success.
• Design measurable, repeatable workflows, not one-off prompts.
• Collaborate with RevOps on data definitions and quality.

Skills

LLMs in prod

Integration engineering

Salesforce data fluency

Python data pipelines

Experimentation

Automation

Output orchestration

SOQL

Tools

Salesforce

Zapier

n8n

FastAPI

APIs/REST

Pandas

Job description

• 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
• 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
• 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
• 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
• 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

Benefits

• 100% employer paid Healthcare (Medical, Dental, Vision) premiums for you and your dependents (including Domestic Partners)
• 100% employer paid mental wellness platform for you and your dependents
• Stock Options
• Wellness perks (100% employer paid Whoop fitness band and subscription)
• Paid parental leave (Both Maternity and Paternity)
• Learning and Development Resources
• Unlimited Paid time off

• LLMs: Familiarity with LLMs in production contexts — classification, extraction, summarization, and prompt chaining (not just vibe coding)
• 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
• Python: Proficiency with pandas, data transformation pipelines, scoring model construction, and structured output formatting — comfortable owning a codebase, not just running scripts
• Experience: 5+ years in Sales Ops, GTM Ops, RevOps, Marketing Ops, or a related technical role