Lead, Enterprise AI Workflows & Delivery

Reejig

New York (NY)

Hybrid

USD 180,000 - 250,000

Full time

14 days+

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Job summary

Reejig is seeking a senior leader to stand up and guide Forward-Deployed AI capabilities for enterprise customers in a hybrid NYC environment. You will work closely with product, engineering, and customer teams to translate needs into high-value AI workflows, ensuring adoption and measurable impact.

You will start hands-on with a founding team, then scale the function, define standards, and build reusable patterns that inform product and marketplace offerings.

Qualifications

  • 7+ years of experience across applied AI, enterprise AI consulting, AI transformation, or related fields.
  • Experience working with large enterprise customers (Fortune 500/100) on AI solutions.
  • Ability to turn ambiguous problems into deployed AI workflows, agents, or processes.
  • Experience moving AI initiatives from prototypes to adoption and measurable value.
  • Experience hiring, developing, or leading a team or building function structure.

Responsibilities

  • Lead engagements from ambiguous business needs through workflow design, build, deployment, and measurement.
  • Collaborate with SMEs and work designers to map tasks, decisions, and human judgment.
  • Decide when to build, co-build, or enable customers to build independently.
  • Ensure customers deploy and realize value, not just ship a workflow.
  • Help customers build and operate high-quality AI workflows themselves.

Skills

Applied AI
Enterprise AI consulting
Leadership
Team building
Communication
Solution design
APIs

Tools

APIs
Observability

Job description

Reejig is seeking a senior leader to stand up and guide Forward-Deployed AI capabilities for enterprise customers in a hybrid NYC environment. You will work closely with product, engineering, and customer teams to translate needs into high-value AI workflows, ensuring adoption and measurable impact.

You will start hands-on with a founding team, then scale the function, define standards, and build reusable patterns that inform product and marketplace offerings.

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