Lead GTM Data Operations Analyst, AI Workflows

1 month ago
Full-time
Mid Level
Artificial Intelligence and Machine Learning
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

Description

  • Run and monitor production agent pipeline sessions, diagnose failures, and resolve issues without escalating to the function lead.
  • Execute long-running batch processes in Claude Code and tmux, interpret logs, and verify 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 evidence-based workflow or rule changes.
  • Run vendor-versus-AI enrichment bake-offs to optimize cost, coverage, and accuracy.
  • Own the handoff from Sentinel outputs to offshore triage queues, including queue structure, priority tiers, and resolution instructions.
  • Monitor offshore resolution quality and throughput, and close the feedback loop to reduce false positives and improve precision.
  • Design and run AI-assisted enrichment workflows with evidence links, confidence thresholds, and audit controls.
  • Keep data dictionaries, SOPs, and runbooks current as processes and agents 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 SQL for querying, analysis, and validation.
  • Proficiency with SFDC, including the 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 command-line environments, including tmux, shell scripts, log analysis, and batch 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, preferred.
  • Python experience for QA scripting, sampling, or light automation, preferred.
  • Familiarity with prompt engineering, confidence scoring, and AI guardrails, preferred.

Benefits

  • Base salary range of $124,000 to $186,000 USD.
  • Participation in the company’s annual cash bonus plan.
  • Equity and sign-on payments may be included in the total compensation package.
  • Comprehensive health, welfare, and wellbeing benefits, subject to eligibility.
  • Up to 10% travel for onboarding, team meetings, client or partner work, and industry events.
  • Accommodations available as needed for AI fluency and responsible AI use.
  • Klaviyo provides a flexible hiring process and emphasizes a supportive, inclusive workplace.

Interested in this position?

Apply directly on the company website

Apply Now

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