
About the Role This is a high-autonomy, end-to-end ownership role at an early-stage AI company, sitting at the intersection of customer success and product engineering. You'll translate complex business problems into scalable agentic AI systems for mid-market and large-cap operators, reporting directly to the C-suite on a lean, fast-growing team. What You'll Do Own customer deployments from scoping through delivery and optimization, working directly with operators and finance teams to drive timelines and outcomes. Serve as the primary point of contact for customers, unblocking work and ensuring deployments deliver measurable business value. Translate ambiguous business problems into structured data models, workflows, and agentic systems. Build and extend the agentic AI platform, collaborating closely with engineering to improve core capabilities based on customer needs. Support go-to-market efforts by joining sales calls and identifying expansion opportunities. What We're Looking For 3+ years of professional experience in consulting, finance, or internal operations, ideally with a desire to deepen 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. Scrappy, autonomous, and action-oriented with a bias toward shipping. Exposure to private equity, roll-ups, or M&A is a plus. US citizenship required — visa sponsorship is not available. Compensation & Benefits Base salary of $110,000–$150,000 USD annually , plus meaningful equity in an early-stage, high-growth company. Location On-site in New York, NY .
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