Hiring: Lead GTM Data Operations Analyst, AI Workflows Company: Klaviyo Location: Denver, CO Job Posted Time: 2026-09-03 10:43:25 Target Skills & Keywords : LLM, Python, SQL, Segment, Shell, Snowflake About the job Experience: •6 years in Data Ops, Sales Ops, or GTM Ops with hands-on data quality ownership for account and contact data. Required Skills: •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 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 (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. 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 (not just experimental) context. •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. •Python for QA scripting, sampling, or light automation. •Operational familiarity with prompt engineering, confidence scoring, and AI guardrails (evidence capture, versioned prompts, QA sampling gates). •Core: Snowflake (SQL), SFDC, Claude Code, Clay •Pipeline: Shell orchestration, Cartographer / Sentinel / Resolver agents •Enrichment: D&B, ZoomInfo, Clearbit, StoreLeads, LLM prompts Compensation: •$124,000 - $186,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!