AI Operations Architect for Revenue Enablement

Giftogram; Whippany (NJ); On-site; USD 110,000 - 165,000; Full time

Job summary

Giftogram is seeking an AI Operations Manager who thinks like an engineer but operates as a business builder. You’ll architect AI-enabled workflows across our revenue stack, train teams, and drive real outcomes beyond just coding.

Reporting to Revenue leadership, you’ll partner with sales, marketing, and customer success to reduce friction and accelerate results. A strong technical/analytical foundation and hands-on AI tool experience are essential.

Qualifications

• Background in CS, engineering, mathematics, data science, or related field.
• Hands-on experience with AI tools (Claude, ChatGPT) daily.
• Familiarity with automation platforms and CRM/GTM tools.
• 1–3 years in operational/analytical or business-facing roles.
• Strong communication and organizational skills.

Responsibilities

• Build AI workflows and automations across GTM stack using Claude, ChatGPT, Zapier, and Make.
• Identify and prioritize AI use cases with sales, marketing, and customer success.
• Create and maintain prompt libraries, SOPs, and playbooks for repeatable use.
• Manage AI tool vendors, renewals, and ROI.
• Train and enable teams with hands-on sessions and documentation.
• Monitor AI adoption and impact, reporting progress to leadership.
• Stay current on AI developments and bring relevant tools to the table.

Skills

CS/Engineering/Math background

Data science

Analytical thinking

AI tools experience

Strong communicator

Organization

Education

CS/Engineering/Data science degree

Tools

Claude

ChatGPT

Zapier

Make

HubSpot

Job description

Giftogram is seeking an AI Operations Manager who thinks like an engineer but operates as a business builder. You’ll architect AI-enabled workflows across our revenue stack, train teams, and drive real outcomes beyond just coding.

Reporting to Revenue leadership, you’ll partner with sales, marketing, and customer success to reduce friction and accelerate results. A strong technical/analytical foundation and hands-on AI tool experience are essential.