Remote GTM DataOps Engineer – AI-Driven Pipelines

MPLC; Los Angeles (CA); Remote; USD 85,000 - 100,000; Full time

Benefits offered by this job

Remote work: US-wide

Health & Wellness

401(k) retirement plan

15 days paid vacation

Job summary

MPLC is seeking a GTM Data Operations Engineer to join our Data team in the US. You will own the data pipeline for US Mid-Market and Enterprise accounts, building net-new account detection with Python and data sources like ZoomInfo and D&B.

You will ensure data quality, manage enrichment logic, re-score accounts, and collaborate with Sales, Demand Gen, RevOps, and IT to keep the pipeline trustworthy and sales-ready.

Qualifications

• 2+ years building GTM data workflows or B2B data pipelines.
• Familiarity with US B2B data sources (ZoomInfo, Dun & Bradstreet, SEC/EDGAR or similar).
• Experience with Python and data enrichment pipelines.

Responsibilities

• Own US Mid-Market and Enterprise data pipeline with weekly batches.
• Improve enrichment logic and maintain data quality with Sales and RevOps.
• Deliver rep-ready batches and maintain trusted data.
• Collaborate with Sales, Demand Gen, RevOps and IT to explain data logic.

Skills

Python

Salesforce

AI workflows

Collaboration

Data pipelines

Tools

Clay

ZoomInfo

Dun & Bradstreet

SEC/EDGAR

Job description

MPLC is seeking a GTM Data Operations Engineer to join our Data team in the US. You will own the data pipeline for US Mid-Market and Enterprise accounts, building net-new account detection with Python and data sources like ZoomInfo and D&B.

You will ensure data quality, manage enrichment logic, re-score accounts, and collaborate with Sales, Demand Gen, RevOps, and IT to keep the pipeline trustworthy and sales-ready.