AI Product & Deployment Lead

Tekkr•New York, NY

About The Position

Lead enterprise AI deployments at Global 2000 companies, from developing the initial business case through launching an AI agent and expanding its use across the company. Serve as the primary contact for senior leaders and C-suite stakeholders on both business and technology matters. Translate customer needs into reusable platform features rather than one-off customizations, and bring deployment learnings into the product roadmap. Work hands-on to prototype solutions, make product changes, and write business plans. Align Product, Engineering, Sales, and Customer Success teams around customer needs without relying on direct authority. This opportunity is offered through a selective network that connects candidates with partner startups. Applicants who pass an assessment with deployment experts may receive support and fast-tracked access to partner startups’ interview processes. Each startup runs its own hiring process. Network membership is free and does not guarantee a job. Contract details, including probation period, start date, and annual leave, may vary by matched role.

Requirements

  • Around 7+ years of experience in enterprise software, such as solution architecture, product, consulting, or deployment, including substantial customer-facing work.
  • Experience presenting to C-level leaders and making decisions to say “no” or “not yet” when appropriate.
  • Comfort working hands-on in environments without an established playbook.
  • Based in New York or willing to relocate there.
  • Legal permission to work in the United States.
  • Builder mindset, ability to sell, and strong prioritization skills; unconventional backgrounds with demonstrated ability are welcome.

Nice To Haves

  • Experience as a deployment strategist, solutions architect, or product professional at a fast-growing technology company.
  • Experience with AI or LLM-based products, or at an AI agent company.
  • Understanding of cloud platforms and modern infrastructure sufficient to assess feasibility.

Responsibilities

  • Lead enterprise customer deployments from the initial business case through launching an AI agent and expanding adoption across the company.
  • Act as the primary business and technology contact for senior leaders and C-suite stakeholders.
  • Turn enterprise customer needs into reusable platform features and provide learnings for the product roadmap.
  • Prototype solutions, make product changes, and write business plans.
  • Coordinate Product, Engineering, Sales, and Customer Success teams around customer needs without direct authority.
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