AI Automation Lead

Job not on LinkedIn

🔥 16 hours ago

🇵🇭 Philippines – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Fresh Prints

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2013

🛒 Retail

🛍️ eCommerce

👥 B2C

Retail • eCommerce • B2C

Fresh Prints is a company specializing in custom collegiate merchandise. They offer a wide range of apparel including hoodies, shirts, sweaters, and sweatpants, catering primarily to college students and organizations such as fraternities and sororities. Customers can customize their garments using Fresh Prints' design tool and upload their own inspirations for a personalized touch. The company operates online and is based out of New York City. They are actively engaged with their community through social media and an interactive blog, and they provide opportunities for students to become campus managers, enhancing their presence in the collegiate community.

📋 Description

• Learn how different teams and business units at Nucleus currently operate • Map workflows and identify repetitive, manual, or inefficient processes • Recommend and prioritize AI and automation opportunities based on business value, complexity, urgency, and scalability • Design and implement practical AI automations end to end • Connect organizational platforms through integrations, APIs, webhooks, scripts, and no-code or low-code tools • Use large language models and automation tools to extract, structure, classify, enrich, summarize, and route information • Build lightweight internal tools, interfaces, dashboards, or applications • Improve CRM and relationship-tracking systems, including contact capture, enrichment, lead scoring, relationship insights, and introduction tracking • Translate business needs into technical solutions; prototype, test, deploy, monitor, troubleshoot, maintain, and document workflows • Build safeguards and human-review steps where accuracy or judgment is important • Train team members, explain solutions to nontechnical stakeholders, gather feedback, and establish responsible AI standards • Launch initial automations that reduce manual work or improve data quality and create a roadmap for future AI implementation

🎯 Requirements

• At least three years of relevant experience in automation, AI implementation, operations, product, business systems, software development, or a related field—or a portfolio that demonstrates equivalent practical ability • Experience building working automations that solve real business problems • Strong practical understanding of generative AI and large language models • Experience using AI tools as part of everyday work, not only for experimentation • Ability to connect applications using APIs, webhooks, native integrations, or automation platforms • Comfort using no-code and low-code platforms • Enough technical fluency to use scripting or lightweight development when necessary • Strong process-mapping and problem-solving skills • Ability to understand a business problem before choosing a technical solution • Excellent written and verbal communication skills • Ability to communicate effectively with nontechnical stakeholders • Strong attention to detail, particularly when testing and deploying automated workflows • Ability to manage projects independently and deliver solutions with limited direction • Comfort working in a fast-moving environment where requirements may initially be unclear • Experience with tools such as Zapier, Make, n8n, Airtable, Retool, Notion, HubSpot, OpenAI, Claude, or similar platforms would be valuable • Nice to have: Experience building or managing CRM systems; relationship intelligence, lead enrichment, or recommendation systems; venture capital, professional services, events, communities, or relationship-driven businesses; internal tools or lightweight web applications; databases, structured data, and data-cleaning workflows; JavaScript, Python, SQL, or similar technologies; data privacy, security, access controls, and responsible AI practices; a portfolio, case study, or demonstration of AI-powered workflows