Campfire
AI GTM Engineer
San Francisco
Sponsorship not specifiedDetected 6 days ago
Stakeholder ManagementHubSpotSalesforceCRMProcess ImprovementLeadershipCommunication
About the role
- As an AI GTM Engineer at Campfire, you'll be a key driver in scaling our go-to-market engine and revenue infrastructure.
Responsibilities
- Design, build, and iterate core GTM workflows, automations, and systems (e.g. lead-to-opportunity, lead tracking & routing)
- Maintain and integrate across the revenue tech stack, ensuring data integrity, consistency, and automation across tools (e.g., CRM, marketing automation, billing, analytics)
- Translate business requirements from Sales and Marketing into technical designs, build specifications, and roadmaps
- Develop dashboards, metrics, and alerts to ensure GTM teams have self‑service visibility into performance and levers
- Lead process improvement initiatives: identify inefficiencies, propose and pilot new workflows, and scale them broadly
- Excellent communication and stakeholder management skills, with ability to interface with both technical and non-technical partners
- Own technical and process initiatives in the revenue stack, from idea through execution and ongoing optimization
- In this role, you'll work closely with leadership to deliver scalable execution, reliable data insights, and cross-functional alignment.
- This is a hands-on, high-impact role ideal for someone who thrives in a startup environment and wants to build foundational revenue systems from the ground up.
Requirements
- 2+ years of relevant experience in AI GTM Engineering, Revenue Operations, GTM Operations, Sales Ops, or a similar technical operations role at a scaling SaaS/tech company
Skills
- Meticulous attention to data quality, integrity, and consistency across systems
- Bias toward action and ability to execute autonomously in an evolving, often ambiguous environment
- familiarity with CRM systems (Salesforce or HubSpot), and automation tools
- A builder mindset: enjoys solving problems, automating manual work, and iterating quickly
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This listing is sourced directly from Campfire's careers page and normalized into a canonical job model.