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Lead GTM Data Operations Analyst, AI Workflows

1 month ago
United States
Full-time
Mid Level
AI (Artificial Intelligence)
Artificial Intelligence and Machine Learning
Python Salesforce Shell Scripting Snowflake SQL
Apply Now
Klaviyo

Klaviyo

Klaviyo offers intelligent email marketing, SMS, and automation services for ecommerce businesses, empowering brands to personalize customer interactions and drive growth.

IT Services
1K-5K
Founded 2012
View All Jobs 72

Description

  • Run and monitor production agent pipeline sessions across scheduled cadences, diagnosing and resolving failures without escalation.
  • Execute long-running pipeline jobs in Claude Code and tmux, reviewing logs and outputs to verify data integrity before handoff.
  • Maintain orchestration scripts and configuration, and extend agent coverage as new data elements are prioritized.
  • Refine detection rules, prompts, and confidence thresholds based on output analysis and error patterns.
  • Evaluate agent accuracy by segment and recommend workflow or rule changes backed by evidence.
  • Run vendor-versus-AI enrichment bake-offs to optimize cost, coverage, and accuracy.
  • Own the handoff between Sentinel output and offshore triage queues, including queue structure, priorities, and resolution instructions.
  • Monitor offshore resolution quality and throughput, and feed resolution patterns back into detection logic.
  • Maintain staging fields, audit controls, data dictionaries, SOPs, and runbooks as processes evolve.
  • Partner with GTM Systems, Data Engineering, and Reporting on field configuration, source availability, lineage, and dashboard requirements.

Requirements

  • 3–6 years of experience in Data Ops, Sales Ops, or GTM Ops with hands-on ownership of account and contact data quality.
  • Proficiency with Snowflake, including SQL for querying, analysis, and validation.
  • Experience with SFDC, including object model, field configuration, and data flows.
  • Working experience with Claude Code or comparable LLM-based tooling in an operational setting.
  • Experience designing and running AI-assisted enrichment workflows such as Clay plus LLM prompts.
  • Comfort operating in a command-line environment, including tmux, shell scripts, log analysis, and batch process monitoring.
  • A process design mindset with a bias toward measurable outcomes and strong written communication.
  • Experience with account/contact data vendors such as D&B, ZoomInfo, Clearbit, or StoreLeads is a strong plus.
  • Python for QA scripting, sampling, or light automation is a strong plus.
  • Familiarity with prompt engineering, confidence scoring, and AI guardrails is a strong plus.

Benefits

  • Base salary range of $124,000 to $186,000 USD.
  • Eligibility for an annual cash bonus plan.
  • Equity may be included in total compensation.
  • Sign-on payments may be included.
  • Comprehensive health, welfare, and wellbeing benefits based on eligibility.
  • Up to 10% travel for onboarding, team meetings, client or partner work, and industry events.
  • Support for accommodations as needed during the hiring process and role experience.

Interested in this position?

Apply directly on the company website

Apply Now

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