Marketing Ops/AI GTM Engineer
Company websitecampfire.ai (Campfire, opens in new tab)
Base salary $130K to $220K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
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
Source: Campfire on Ashby · View original posting (opens in new tab)
This listingMarketing Ops/AI GTM Engineer$130K to $220K
Accounting Deployment Strategist$130K to $160K
Field Marketing Manager$120K to $150K
Implementation Manager$140K to $180K
Partner Enablement Specialist$140K to $160K
Implementation Manager$140K to $180K
Software Engineer$150K to $220K
Chart as a table
| Role | Published base |
|---|---|
| Marketing Ops/AI GTM Engineer (this listing) | $130K - $220K |
| Accounting Deployment Strategist | $130K - $160K |
| Field Marketing Manager | $120K - $150K |
| Implementation Manager | $140K - $180K |
| Partner Enablement Specialist | $140K - $160K |
| Implementation Manager | $140K - $180K |
| Software Engineer | $150K - $220K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-07-16
Where this pay comes from
Location as the employer wrote it: San Francisco
USD 130,000 – 220,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
