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Founding GTM Automation & Data Infrastructure Engineer (Sales Engineering / RevOps Automation)

emt groupe, llc • United State
Visa Sponsorship
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Build the automation, CRM integrations, and data infrastructure that power outbound sales. Own email/outbound infrastructure, enrichment pipelines, data quality, and live reporting dashboards. Use Python and SQL to ship reliable systems with daily AI coding tools and honest, measured experiments.

Key Highlights
Founding role responsible for automation, CRM integrations, enrichment pipelines, and data quality systems
Own outbound infrastructure for high-volume email campaigns and multi-channel sequences, plus live SQL-based dashboards
US-based with in-person 5 days/week in Dumbo, Brooklyn; visa transfers supported for exceptional candidates
Key Responsibilities
Build outbound infrastructure including email warm-ups, email campaigns, and multi-channel sequences that run at volume.
Develop CRM integrations, enrichment pipelines, and data quality systems.
Create live dashboards for SQL volume, conversion, and pipeline health.
Run experiments on new tools, measure results honestly, and keep what works while removing what does not.
Technical Skills Required
Python SQL CRM integrations
Benefits & Perks
Visa transfers (OPT, H-1B) supported for exceptional candidates who can verify work history
Nice to Have
Series A/B startup experience
Production work with LLM APIs including prompt design and eval loops

Job Description

Real, proprietary data is what frontier AI labs need next. This company supplies it. They went from $0 to a multi-eight-figure run rate in months, they're VC-backed, and the team is 14 people.

They're adding about 6 new sales reps and need their first GTM engineer to build the machine behind them. You'll own the automation, CRM, and data infrastructure so AEs and SDRs spend their time selling, not doing admin work.

What you'll build:

• Outbound infrastructure: email warm-ups, campaigns, and multi-channel sequences that run at volume

• CRM integrations, enrichment pipelines, and data quality systems

• Live dashboards for SQL volume, conversion, and pipeline health

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