Growth Marketing Engineer (AI)

Location: San Francisco or Oakland, California, United States

Salary: $90,000–$160,000 USD per year

Company

hirify.global provides Robotics-as-a-Service by combining industrial robotics, proprietary software, and full-service support to make factory automation more accessible.

What you will do

• Own the technical setup, deployment, and management of the GTM technology stack.
• Design automated, AI-powered outreach systems and workflows for scalable lead generation.
• Partner with Marketing and Sales leadership on email, video, social, and paid campaigns.
• Implement tracking, attribution, dashboards, and reporting for pipeline, ROI, CAC, and conversion metrics.
• Evaluate tools, improve data quality, and resolve gaps across marketing and sales platforms.
• Support A/B testing, analyze results, and translate findings into campaign improvements.

Requirements

• 3+ years of experience in Growth Marketing, GTM Engineering, Marketing Operations, or a similar technical role.
• Hands-on experience deploying and integrating marketing and sales technology stacks in a B2B environment.
• Experience using AI tools such as Claude, OpenAI, or similar LLMs for GTM automation and personalization.
• Strong analytical, experimentation, and campaign measurement skills.
• Ability to manage multiple projects and work cross-functionally with Sales, RevOps, and Marketing.
• Bachelor’s degree in Decision Intelligence, Marketing Analytics, Computer Science, or a similar field, or equivalent experience.

Culture & Benefits

• Full-time employment with equity participation and a competitive uncapped commission structure for eligible roles.
• Benefits apply to full-time, U.S.-based team members.
• Medical, dental, and vision insurance, with most employee premiums covered.
• Employer-paid insurance, FSA and DCFSA, employee assistance, and up to 12 weeks of paid parental leave.
• Company-sponsored 401(k), flexible paid time off, home office stipend for fully remote and hybrid employees, and monthly phone reimbursement.
• Operating principles emphasize ownership, data-driven decisions, adaptability, collaboration, and rapid experimentation.