Revenue Operations and GTM Engineering Leader (AI)

Location: Remote (USA); candidates must be legally authorized to work in the United States without company sponsorship now or in the future.

Company

hirify.global is building a unified DataOps platform for data ingestion, reverse ETL, observability, and data catalog.

What you will do

• Own the GTM technology stack, including CRM, marketing automation, enrichment, and reporting tools.
• Build pipeline reporting, forecasting, funnel metrics, data definitions, and data hygiene processes.
• Design lead routing, scoring, attribution, territory planning, account assignment, coverage models, quota, and capacity planning.
• Build integrations and automations using APIs, webhooks, AI agents, and modern tooling.
• Deploy, monitor, evaluate, and continuously improve AI systems and agents across the GTM motion.
• Partner with sales and marketing on outbound workflows, personalization, campaign tracking, segmentation, program measurement, and strategic insights.

Requirements

• 3+ years of experience in revenue operations, sales operations, marketing operations, or GTM engineering at a B2B SaaS company.
• Hands-on fluency with modern CRM, marketing automation, enrichment, and reporting tools.
• Ability to connect systems and build workflows with APIs, webhooks, and automation tooling.
• Strong analytical, communication, and cross-functional partnership skills.
• Legal authorization to work in the United States without current or future company sponsorship.
• Startup experience and comfort building a function from zero in an ambiguous, fast-moving environment.

Nice to have

• Experience with the modern data stack or ETL tools.
• Experience building a RevOps or GTM engineering function from zero to one.
• Light scripting experience with Python, SQL, or similar tools.
• Familiarity with HubSpot, Apollo, Google Analytics, Clay, and intent providers.

Culture & Benefits

• Builder-oriented role as the first dedicated RevOps hire.
• Ownership of the GTM function from foundation through scale.
• Strong focus on AI-first automation, quality, discernment, and continuous iteration.
• Remote work within the United States.