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Enterprise AI transformation lead (East)

Job Overview

Location

New York City, NY

Job Type

Full-time

Category

HR & Recruiting

Date Posted

April 15, 2026

Full Job Description

đź“‹ Description

  • • As an Enterprise AI Transformation Lead at Writer Inc., you will serve as a high-impact partner for Fortune 100 accounts, driving enterprise-wide AI adoption by translating the WRITER platform’s capabilities into measurable P&L impact and helping organizations shift to an AI-first operating model.
  • • Day to day, you will manage a portfolio of strategic customers, lead ROI and value initiatives, build C-suite relationships as a trusted advisor, conduct analysis through surveys and interviews to frame business impact, orchestrate cross-functional programs, identify expansion opportunities, and scale transformation best practices by creating reusable frameworks and communications.
  • • Writer Inc. is a $1.9B-valued enterprise generative AI leader headquartered in San Francisco with hubs in New York City, Austin, Chicago, and London, powering AI agents for companies like Mars, Marriott, Uber, and Vanguard through trustworthy, data-grounded LLMs that unite IT and business teams.
  • • In this role, you will build the playbook for enterprise AI transformation, directly influence the product roadmap, help define how global brands use superintelligence to expand human capacity, and grow as a strategic leader in AI-driven change management at the forefront of the next industrial revolution.

Skills & Technologies

Senior
Hybrid
Degree Required

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About Writer Inc.

Writer Inc. provides an enterprise-grade generative AI platform for creating, editing and governing business content. The system embeds into workflows to generate marketing copy, documentation, emails and other text while enforcing brand, style and compliance rules. It includes a language model, style guides, snippets, terminology management and analytics, all designed to maintain consistency across teams. Clients use Writer to accelerate content production, reduce revisions and ensure regulatory adherence without sacrificing human oversight.

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