Manager, AI Strategy & Enablement

New York, NY · USD 110,000-120,000 / year · 2+ years experience · Hybrid · Posted Oct 6, 2026

At a glance

The Manager, AI Strategy & Enablement will help execute Marketing's AI strategy by turning priorities into practical tools and workflows.
This role involves identifying opportunities for AI integration, recommending appropriate technical solutions, and building or configuring AI-enabled workflows.
The position sits on the Marketing team and requires cross-functional collaboration with IT, Product, Data, Legal, and other departments.

Identify opportunities to automate or improve Marketing work and translate ambiguous business problems into practical use cases.
Recommend whether AI, process changes, or conventional software are the best approach to each problem.
Lead assigned AI projects from discovery through rollout and ongoing improvement.
Build, configure, test, and improve AI tools and workflows using approved enterprise, low-code, and development tools.
Apply established standards for instructions, reference materials, data, permissions, testing, monitoring, human oversight, and failure handling.
Partner with technical teams when solutions require production engineering, data access, integrations, or complex system architecture.
Create role-specific documentation and enablement, track adoption and impact, and use the results to improve tools, workflows, and training.
Evaluate AI tools and vendors for business fit, quality, integration requirements, risk, and cost.
Work with governance partners to ensure solutions meet established legal, privacy, security, data, and AI oversight requirements.
Demonstrate support and understanding of the value of journalistic independence and the company mission.

4+ years of experience in product or program management, digital transformation, marketing technology, automation, enablement, or a related field.
2+ years of experience applying generative AI tools to business problems and workflows.
Working knowledge of AI agents and related concepts, with experience building or configuring agents, automations, retrieval systems, or AI-enabled workflows.
Experience leading cross-functional work from discovery and prototyping through implementation and adoption.
Experience translating ambiguous business problems into requirements, implementation plans, and measurable outcomes.
Experience evaluating AI quality, privacy, security, data governance, legal risk, and AI-human workflows, and explaining technical concepts to non-technical audiences.

Experience creating evaluation methods for AI outputs and using the results to improve instructions, context, tools, or workflow design.
Experience with AI-enabled productivity, knowledge, automation, and development tools such as Notion, Glean, Gemini Notebook, Make, Replit, or Cursor.
Experience in Marketing, Marketing Operations, or MarTech, with familiarity in vendor assessment, procurement, contracts, and enterprise technology governance.