Fresh Prints
Skills: JavaScript, Python, SQL
AI Automation & Operations Lead
Company: Nucleus Network Location: Remote Employment type: Full-time Working hours: To be confirmed based on required US time-zone overlap
About Nucleus Network
Nucleus Network is built around a simple mission: introducing great people to great people. The business operates across three core areas:
Nucleus Advisory: A warm-introductions-as-a-service business that has made and tracked more than 10,000 introductions. Nucleus Ventures: A venture capital firm incubated by Nucleus that deployed more than $54 million across 28 companies within 2.5 years. Nucleus Community: An events business that hosted more than 70 experiences over the past year across New York City, Los Angeles, Miami, San Francisco, Las Vegas, Cannes, and other locations.
As Nucleus continues to grow, we are looking for someone who can help us use AI and automation to operate more intelligently, efficiently, and at scale.
About the Role
We are looking for a highly resourceful and hands-on AI Automation & Operations Lead to identify, build, and implement AI-powered workflows across Nucleus Network.
This is not a traditional machine-learning or AI research role. You will not be expected to build foundational AI models. Instead, you will use existing AI tools, automation platforms, APIs, and lightweight development to solve real operational problems.
You will work closely with the Nucleus leadership team to understand how different parts of the business operate, identify repetitive or inefficient processes, and turn those opportunities into reliable systems and automations.
A major initial focus will be improving how Nucleus captures, organizes, enriches, and uses relationship data. However, the role will eventually support processes across Nucleus Advisory, Nucleus Ventures, Nucleus Community, and other internal functions.
The ideal candidate is curious, technically capable, business-minded, and comfortable taking an ambiguous …truncated… usinesses. Experience developing internal too…
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