AI Automation Project Specialist (Hybrid)

The Role

This is an org-wide AI enablement role, not a traditional marketing or technical position. Reporting directly to the CEO, you'll have the organizational visibility and authority to identify, build, and implement AI-powered automation across Hone's business — starting with Marketing and expanding into Operations, Customer Service, and beyond.

Your first major project will be building an automated content pipeline for the CEO's personal brand: taking content (photos, raw video footage) and transforming it into a scalable, AI-assisted system for ideation, drafting, and distribution across media platforms. This project serves as both an immediate business priority and a proof of concept for the broader automation playbook you'll bring to the rest of the organization.

Once that system is built and running, you'll continue identifying high-ROI automation opportunities across departments — embedding with each team, building lightweight and documented solutions, and handing off systems that teams can own and operate independently.

If you want high visibility, meaningful impact, and the opportunity to shape how an entire organization works smarter, this role is for you.

This is a hybrid role where it will be critical to meet in-person with our CEO roughly 3 days per week in Jersey City, NJ.

Primary Responsibilities

Org-Wide AI Enablement

• Partner with department leaders across Marketing, Operations, and Customer Service to identify the highest-leverage opportunities for AI and automation
• Build lightweight, well-documented systems using LLM tools (Claude, GPT-5), automation platforms (Make, n8n, Zapier), and off-the-shelf integrations
• Enable and train teams to own and operate the systems you build — success is measured by team independence, not dependency on you
• Stay current on the AI/automation landscape and bring relevant tools and techniques to the organization proactively

First Project: CEO Content Pipeline

• Build an end-to-end automated pipeline for founder-forward content creation, including ingestion of raw footage, transcription, AI-assisted ideation, platform-specific drafting, and scheduling/distribution
• Develop a documented voice and brand guide that enables consistent, high-quality AI-generated content
• Design a lightweight approval workflow that allows for human review without becoming a bottleneck
• Document and formalize the system so it can be replicated across other business lines

Ongoing Value Creation

• Identify and prioritize automation opportunities across the business on a rolling basis
• Build a reusable playbook for how Hone approaches AI implementation that can scale as the company grows
• Collaborate with People Ops and department heads to ensure new systems are adopted effectively

Qualifications

Required

• Hands-on development experience, including working with APIs and writing scripts to connect, automate, and extend systems (Python, JavaScript, or similar)
• Demonstrated experience building with LLM APIs (OpenAI, Anthropic/Claude, or similar) — not just using the chat interface, but integrating models into workflows and pipelines
• Proficiency with workflow automation platforms (Make, n8n, Zapier, or equivalent)
• Ability to move fluidly between technical implementation and non-technical stakeholder communication
• Strong documentation habits — you build things other people can actually use and maintain
• Comfort operating in ambiguity and adapting quickly as tools and priorities evolve

Strongly Preferred

• Experience in social media, content marketing, or content operations — understanding what makes content perform is a meaningful advantage in this role
• Familiarity with video transcription and processing tools (Whisper, Descript, or similar)
• Experience building or managing content workflows or distribution systems
• Prior experience in an enablement, implementation, or internal consulting capacity
• Experience at a startup or high-growth tech company

What Success Looks Like

• Month 1: CEO content pipeline is scoped, voice guide is documented, and raw input → draft workflow is operational
• Month 3: Full content pipeline is live, producing and distributing content with minimal manual intervention; at least one additional departmental automation project is scoped or underway
• Month 6: Multiple departments have adopted AI-assisted workflows; systems are documented and team-owned; automation playbook is drafted and in use

Compensation Range

$100,000–$140,000