Lead GTM Data Operations Analyst, AI Workflows Denver

Lead GTM Data Operations Analyst, AI Workflows

Go‑to‑market Operations Denver, CO

At Klaviyo, we value the unique backgrounds, experiences and perspectives that each Klaviyo brings to the workplace each day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond traditional job requirements. If you’re a close but not exact match with this description, we hope you’ll still consider applying.

GTM Data Strategy & Operations stood up from scratch with no predecessor. Today the function runs on three offshore contractors and zero FTEs
, managed by a single leader who is simultaneously building the agentic infrastructure, operating it in production, and driving major initiatives (hierarchy redesign, data quality assessment, vendor optimization).

The operating model is deliberately agentic AI‑first
: a multi‑agent pipeline (Cartographer, Sentinel, Resolver, Reporting) handles detection, enrichment, hierarchy mapping, and conflict resolution se agents are live and processing enterprise account families in production today.

The problem
: one person cannot build, operate, and extend this system while also managing strategic work streams. The function currently covers only core Tier‑1 fields. Dozens of account, contact, and lead signals remain unaddressed. Every pipeline run, every failure diagnosis, and every offshore handoff flows through a single point of failure.

This role is the first onshore execution hire for an agent operator who can keep the system running, improve it, and extend detection and resolution coverage as GTM leadership prioritizes new data elements.

Operate, tune, and extend our agentic data quality pipeline (detection, enrichment, hierarchy mapping, conflict resolution) so it runs reliably, improves continuously, and expands to cover more of the data landscape. Own the handoff between automated output and human review, managing quality and throughput with our offshore team. You will not build agents from scratch, but you will run them, evaluate their output with GTM data judgment, and refine their performance.

• Run and monitor production pipeline sessions (Cartographer, Sentinel, Resolver) across scheduled cadences; diagnose and resolve failures (API errors, session timeouts, data anomalies) without escalating to the function lead.
• Execute pipeline runs in Claude Code 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 (Enterprise vs. MM/SMB) 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, , lineage…