Marketing Ops/AI GTM Engineer

  • San Francisco
  • Sales
  • FullTime
  • Posted 25 days ago

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About the Role

As an AI GTM Engineer / Marketing Operations at Campfire, you’ll be a key driver in scaling our go-to-market engine and revenue infrastructure. You will bridge the gap between strategy and execution, designing, building, and operationalizing systems and processes that enable Sales and Marketing to operate with speed and precision. In this role, you’ll work closely with leadership to deliver scalable execution, reliable data insights, and cross-functional alignment.

You will:

  • Own the marketing and revenue tech stack end to end, from idea through execution and ongoing optimization

  • Be the AI Engineer in RevOps: applying technical tools, automation, and integrations to support GTM motion

  • Partner as a trusted operator with GTM teams, surfacing gaps, engineering scalable solutions, and driving adoption

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.

Key Responsibilities

  • Design, build, and iterate core GTM workflows, automations, and systems (e.g. lead scoring, routing, lead-to-opportunity handoff, campaign attribution)

  • Maintain and integrate across the revenue tech stack, ensuring data integrity, consistency, and automation across tools (e.g., CRM, marketing automation, analytics)

  • Translate business requirements from Sales and Marketing into technical designs, build specifications, and roadmaps

  • Own segment funnel performance reporting and proactively identify friction points and conversion blockers

  • 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

Requirements

  • 2+ years of relevant experience in GTM Engineering, Marketing Operations, GTM Operations, Revenue/Sales Operations, or a similar technical operations role at a scaling SaaS/tech company

  • Strong technical skills: familiarity with CRM systems (Salesforce or HubSpot), and automation tools

  • Meticulous attention to data quality, integrity, and consistency across systems

  • Excellent communication and stakeholder management skills, with ability to interface with both technical and non-technical partners

  • Bias toward action and ability to execute autonomously in an evolving, often ambiguous environment

  • A builder mindset: enjoys solving problems, automating manual work, and iterating quickly

What AI RevOps roles pay

25th pct
$103k
Median
$146k
75th pct
$175k

Based on 175 live roles on SVGTM that disclose pay, converted to USD.

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