Responsibilities

• Design, specify, and evaluate AI-native GTM systems.
• Build internal frameworks for diagnosing GTM failure.
• Decompose GTM into a structured system of discrete jobs-to-be-done.
• Pattern-match GTM problems to root causes and inefficiencies.
• Contribute to a GTM data model, ontology, or taxonomy and evaluate related outputs.

Requirements

• Spent years inside a major GTM intelligence, data platform, or advisory practice
• Built internal frameworks for diagnosing GTM failure
• Decomposed GTM into a structured system of discrete jobs-to-be-done
• Formed opinions on agent governance, audit trails, and revenue truth in GTM workflows
• Technically fluent enough to design, specify, and evaluate AI-native GTM systems
• Experience designing a machine-readable GTM ontology and data definitions

Preferred

• Experience at major GTM intelligence, data, or martech platforms (e.g., ZoomInfo, 6sense, Demandbase, Apollo, Bombora, G2, Clearbit, LinkedIn Sales Solutions, HubSpot, Salesforce, Gartner)
• Built and ran an enterprise RevOps or GTM transformation advisory practice with 20+ engagements
• Led a GTM research, benchmarking, or market intelligence function at a major platform with access to aggregate data

Benefits

• medical, dental, and vision insurance
• a 401(k) with company matching and discretionary profit sharing
• FSA and HSA options
• life and disability insurance
• tuition reimbursement
• an employee assistance program
• remote-first role with the expectation of periodic in-person collaboration