GTM Data Ops Lead - AI Workflow Architect

Klaviyo Inc.; Boston (MA); On-site; USD 124,000 - 186,000; Full time

Job summary

Klaviyo is seeking a Lead GTM Data Operations Analyst for AI Workflows. You will sit between AI systems and GTM data, operating and extending an agentic data quality pipeline, ensuring reliability and continuous improvement, and managing offshore handoffs.

You won’t build agents from scratch but will run, evaluate, and enhance their output with GTM judgment. You’ll collaborate across GTM Systems, Data Engineering, and Reporting to stabilize data flows, expand coverage, and drive measurable

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, analysis, validation) and SFDC (object model, field configuration, data flows).
• Working experience with Claude Code or comparable LLM‑based tooling in an operational context.
• Experience designing and running AI‑assisted enrichment workflows (e.g., Clay + LLM prompts) and evaluating accuracy/coverage.
• Comfort operating in a command‑line environment: tmux, shell scripts, log analysis, batch process monitoring.
• Process design mindset with a bias toward measurable outcomes; strong written communication.

Responsibilities

• Run and monitor production pipeline sessions across scheduled cadences; diagnose and resolve failures without escalating to the function lead.
• Execute pipeline runs in Claude and tmux; manage long‑running batch processes; interpret logs and output to confirm data integrity before downstream handoff.
• Maintain pipeline orchestration scripts and configuration; extend agent coverage as new data elements are prioritized by GTM leadership.
• Refine detection rules, prompt logic, and confidence thresholds based on output analysis and false‑positive/negative patterns.
• Evaluate agent accuracy by segment and recommend rule or workflow changes backed by evidence.
• Run bake‑offs (vendor vs. AI enrichment) to optimize cost, coverage, and accuracy; document results for decision‑making.
• Own the handoff between Sentinel detection output and Concentrix triage queues; define queue structure, priority tiers, and resolution instructions.
• Monitor offshore resolution quality and throughput; refine detection rules based on patterns surfaced through triage.
• Close the feedback loop: track resolution outcomes back to agent configuration to reduce recurring false positives and improve detection precision.
• Maintain ops‑only staging fields; manage the promote‑to‑production flow with audit controls.
• Design and run AI‑assisted enrichment workflows (Clay + LLM prompts) with evidence links and confidence thresholds.
• Monitor fill‑rate, sampled accuracy, freshness, and cost‑per‑record by source and segment; surface vendor performance issues and recommend changes.
• Keep data dictionaries, SOPs, and runbooks current as agents and processes evolve.
• GTM Systems (SFDC): field configuration, permission sets, automation, flows.
• Data Engineering: source availability, ID mapping, lineage (no pipeline coding).
• Reporting: define metrics and acceptance criteria; partner on dashboard requirements.

Skills

Data Ops / GTM Ops experience

Data quality ownership

Strong written communication

Command-line experience

Tools

Snowflake

SFDC

Claude Code

Clay

tmux

Shell scripts

log analysis

SQL

SOQL

Python

Job description

Klaviyo is seeking a Lead GTM Data Operations Analyst for AI Workflows. You will sit between AI systems and GTM data, operating and extending an agentic data quality pipeline, ensuring reliability and continuous improvement, and managing offshore handoffs.

You won’t build agents from scratch but will run, evaluate, and enhance their output with GTM judgment. You’ll collaborate across GTM Systems, Data Engineering, and Reporting to stabilize data flows, expand coverage, and drive measurable