AI Deployment Lead

About the Role

This is a high-autonomy role at the intersection of customer success and product engineering, where you'll own end-to-end deployments of agentic AI systems for mid-market and large-cap operators. Reporting directly to the C-suite on a lean, fast-growing team, you'll translate complex business problems into scalable AI solutions that deliver measurable outcomes.

What You'll Do

• Own customer deployments from scoping through delivery and ongoing optimization, working directly with operators and finance teams to drive timelines and results.

• Serve as the primary point of contact for customers, unblocking work and ensuring deployments deliver real business value.

• Translate ambiguous business problems into structured data models, workflows, and agentic AI systems.

• Build and extend the agentic AI platform in close collaboration with engineering, surfacing improvements based on customer needs.

• Support go-to-market efforts by joining sales calls and identifying expansion opportunities within existing accounts.

What We're Looking For

• 3+ years of professional experience in consulting, finance, or internal operations, with a desire to develop technical skills.

• Proficiency in Python and SQL, with hands-on experience building with AI tools and LLM APIs.

• Strong background in data analytics, data modeling, and data warehousing concepts.

• Experience with data pipelines, ETL processes, system integrations, or internal tooling.

• Highly analytical with comfort working with messy, real-world data and complex systems.

• Strong communication skills and business intuition; comfortable engaging with executives and operators to gather requirements and deliver solutions.

• Scrappy, autonomous, and action-oriented — you ship over perfecting.

• Exposure to private equity, roll-ups, or M&A environments is a plus.

• US citizenship required; visa sponsorship is not available.

Compensation & Benefits

Salary range of $110,000–$150,000 USD annually, plus meaningful equity in an early-stage, high-growth company.

Location

On-site in New York, NY.