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Lead GTM Data Operations Analyst, AI Workflows

1 month ago
United States
Full-time
Mid Level
Operations Analyst
Artificial Intelligence and Machine Learning
Python Salesforce Snowflake SQL
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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, diagnose failures, and resolve issues without escalating to the function lead.
  • Execute long-running pipeline runs in Claude Code and tmux, review logs and outputs, and confirm data integrity before downstream handoff.
  • Maintain pipeline orchestration scripts and configuration, and extend agent coverage as new data elements are prioritized.
  • Refine detection rules, prompt logic, 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 detection output and offshore triage queues, including queue structure, priority tiers, and resolution instructions.
  • Monitor offshore resolution quality and throughput, and close the feedback loop back into agent configuration.
  • Manage enrichment operations, including AI-assisted workflows, evidence links, confidence thresholds, and promote-to-production controls.
  • Keep data dictionaries, SOPs, and runbooks current as agents and processes evolve.

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 for SQL 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 context.
  • Experience designing and running AI-assisted enrichment workflows such as Clay plus LLM prompts.
  • Comfort working 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 the company’s annual cash bonus plan.
  • Eligibility for equity compensation and sign-on payments.
  • Comprehensive health, welfare, and wellbeing benefits, subject to eligibility.
  • Up to 10% travel for onboarding, team meetings, client or partner work, and industry events.
  • Support for accommodations as needed.
  • Flexible application and interview policies with responsible AI guidance and privacy notice disclosures.

Interested in this position?

Apply directly on the company website

Apply Now

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