Lead GTM Data Operations Analyst (AI Workflows)

Location: Must be based in the United States

Company

hirify.global is a SaaS platform that empowers creators to own their destiny by making first-party data accessible and actionable for personalized ecommerce experiences.

What you will do

• Monitor and troubleshoot production agentic pipelines (Cartographer, Sentinel, Resolver) to ensure data integrity.
• Refine detection rules, prompt logic, and confidence thresholds to improve agent accuracy.
• Manage the handoff between automated detection output and offshore triage teams.
• Design and execute AI-assisted enrichment workflows using tools like Clay and LLMs.
• Partner with GTM Systems and Data Engineering teams to configure SFDC fields and manage data lineage.
• Maintain documentation, SOPs, and runbooks for evolving agentic processes.

Requirements

• 3–6 years of experience in Data Ops, Sales Ops, or GTM Ops with hands-on account and contact data quality ownership.
• Proficiency with Snowflake (SQL) and SFDC (object model, field configuration, flows).
• Working experience with Claude Code or comparable LLM-based operational tooling.
• Experience designing and evaluating AI-assisted enrichment workflows.
• Comfort operating in a command-line environment (tmux, shell scripts, log analysis).
• Strong process design mindset with a bias toward measurable outcomes.

Nice to have

• Experience with account/contact data vendors like D&B, ZoomInfo, Clearbit, or StoreLeads.
• Python skills for QA scripting, sampling, or light automation.
• Familiarity with prompt engineering, confidence scoring, and AI guardrails.

Culture & Benefits

• Comprehensive health, welfare, and wellbeing benefits.
• Participation in annual cash bonus plans and equity programs.
• Supportive environment that values unique backgrounds and perspectives.
• Focus on high autonomy and measurable impact in a fast-paced environment.
• Commitment to responsible AI use and human-in-the-loop practices.