About the RoleThis 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 & BenefitsBase salary of
$110,000-$150,000 USD annually, plus meaningful equity in an early-stage, high-growth company.
LocationOn-site in
New York, NY.
