GTM Data Operations Lead — AI-First Pipelines

Klaviyo Inc.; San Francisco (CA); On-site; USD 124,000 - 186,000; Full time

Job summary

Klaviyo is seeking a Lead GTM Data Operations Analyst to sit between AI systems and GTM data, operating and extending our agentic data quality pipeline. You will own data quality, drive improvements, and supervise offshore support while ensuring reliable delivery to GTM leadership.

You’ll work with offshore contractors and a small onshore team to stabilize and expand detection, enrichment, and hierarchy mapping across account and contact signals, with measurable outcomes and strong emphasis on

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) and SFDC (object model, data flows).
• Experience with Claude Code or comparable LLM tooling in an operational context.
• Experience designing and running AI-assisted enrichment workflows (Clay + LLM prompts).
• Comfort operating in a command-line environment: tmux, shell scripts, log analysis, batch process monitoring.
• Strong written communication and process-design mindset.

Responsibilities

• Run and monitor production pipeline sessions across Cartographer, Sentinel, Resolver; diagnose and resolve failures.
• Operate and tune AI-driven data quality pipelines; extend coverage as new data elements are prioritized.
• Maintain and evolve pipeline orchestration scripts and configuration; partner with GTM leadership for new data elements.

Skills

Data Ops experience

Data quality ownership

SQL

Tools

Snowflake

SFDC

Claude Code

Clay

Job description

Klaviyo is seeking a Lead GTM Data Operations Analyst to sit between AI systems and GTM data, operating and extending our agentic data quality pipeline. You will own data quality, drive improvements, and supervise offshore support while ensuring reliable delivery to GTM leadership.

You’ll work with offshore contractors and a small onshore team to stabilize and expand detection, enrichment, and hierarchy mapping across account and contact signals, with measurable outcomes and strong emphasis on