Strategic AI Operations

FerryNew York City, NY

About The Position

Ferry is seeking an AI-native operator to manage and innovate operations. This role involves rebuilding workflows using AI and automation to eliminate manual tasks, enhance speed and quality, and redesign operational processes for scalability. The ideal candidate will be hands-on in daily operations while building AI-driven systems (LLMs, APIs, no-code tools) to improve efficiency and reliability. This position offers significant ownership and the chance to shape an AI-first operations system from its inception.

Requirements

  • Experience in startups or fast-moving environment.
  • AI tools are a core part of how you work; you use them to go faster and do better work, not as a novelty.
  • Hands-on experience building AI workflows, agents, or internal tools using some combination of: LLMs (ChatGPT, Claude, etc.), No-code tools (Zapier, Airtable, Make, Retool, Notion, etc.).
  • An instinct for leverage — you're always asking how to get 10x output for the same input.
  • A builder mindset, creating scrappy solutions yourself whenever needed.
  • High velocity, defaulting to action, ship quickly, and iterate based on results.
  • Strong problem-solving including the ability to break down messy, ambiguous workflows and redesign them from first principles.
  • Comfort with ambiguity and ownership, figuring things out without needing step-by-step direction and you own the outcome, not the process.
  • Clear, direct communication and a low-ego, highly collaborative working style.

Nice To Haves

  • Light coding (Python, SQL, APIs — not required but a plus)

Responsibilities

  • Own and operate a core workflow end-to-end ensuring high performance across speed, quality, and reliability.
  • Continuously identify manual, repetitive, or error-prone work and replace it with AI-driven or automated systems.
  • Design and build internal tools using AI (e.g., GPT-based workflows, prompt chains, agents) and no-code tools (Zapier, Airtable, Retool, etc.).
  • Rapidly prototype and ship process improvements, moving from idea → implementation in hours or days, not weeks.
  • Use data to evaluate performance and iterate, tracking the impact of every automation or change you deploy.
  • Enable the frontline team by removing friction, simplifying workflows, and building systems that make great performance the default.
  • Continuously explore and adopt new AI tools, models, and techniques to improve how work gets done.
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