GTM Data Ops Lead, AI-Driven Workflows

Klaviyo

Denver (CO)

On-site

USD 124,000 - 186,000

Full time

14 days+

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Job summary

Klaviyo is seeking a skilled Data Ops professional to sit between AI systems and GTM data, operating and extending an agentic data quality pipeline. You will manage offshore handoffs, monitor production runs, and improve detection and enrichment for enterprise and SMB signals.

This role requires 3–6 years in Data/Sales Ops with Snowflake, SFDC, and AI-assisted enrichment workflows. A strong candidate will balance technical execution with data-driven decision making and cross-functional

Qualifications

  • 3–6 years in Data Ops, Sales Ops, or GTM Ops with hands-on data quality ownership for account and contact data.
  • Proficiency with Snowflake (SQL for querying, validation) and SFDC (object model, data flows).
  • Working experience with Claude Code or comparable LLM-based tooling.
  • Experience designing and running AI-assisted enrichment workflows (Clay + LLM prompts) and evaluating accuracy/coverage.
  • Comfort operating in a command-line environment: tmux, shell scripts, log analysis, batch process monitoring.
  • Strong written communication and opportunity to impact data quality.

Responsibilities

  • Agent Pipeline Operations: Run and monitor production pipeline sessions across cadences; diagnose failures; ensure data integrity before handoff.
  • Agent Tuning & Improvement: Refine detection rules and confidence thresholds; evaluate by segment; document improvements.

Skills

Snowflake SQL
SFDC knowledge
Claude Code
Clay prompts
tmux
Shell scripts
Python

Education

Bachelor's degree in a quantitative field

Tools

Cartographer
Sentinel
Resolver
tmux
Shell
Python

Job description

Klaviyo is seeking a skilled Data Ops professional to sit between AI systems and GTM data, operating and extending an agentic data quality pipeline. You will manage offshore handoffs, monitor production runs, and improve detection and enrichment for enterprise and SMB signals.

This role requires 3–6 years in Data/Sales Ops with Snowflake, SFDC, and AI-assisted enrichment workflows. A strong candidate will balance technical execution with data-driven decision making and cross-functional

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