This is a Forward Deployed Engineer role at a Y Combinator–backed AI startup building agentic platforms for the acquisitions and private equity space. You'll sit at the intersection of customer success and product, owning deployments end-to-end as a core member of a small, high-autonomy team reporting directly to the C-suite.
Own customer deployments end-to-end — scoping, business logic translation, data ingestion, pipeline delivery, and ongoing optimization — working directly with mid-market to large-cap operators.
Build and extend an agentic AI platform in direct collaboration with the core software engineering team.
Translate complex, real-world business problems into autonomous software solutions.
Support go-to-market efforts by joining sales calls and identifying customer expansion opportunities.
Work with high autonomy on analytical problems that demand both technical depth and strong business judgment.
3+ years of professional experience in consulting, finance, data engineering, or analytics — ideally blending technical and business-facing work.
Strong proficiency in Python and SQL for data processing, querying, and automation.
Hands-on experience designing and delivering data pipelines, ETL workflows, and data integration systems end-to-end.
Familiarity with data warehousing tools and concepts (e.g., Snowflake, BigQuery, Redshift) and data modeling for multi-source environments.
Experience building with LLM APIs and AI tools (e.g., OpenAI, Anthropic, LangChain) — personal projects count.
Excellent communication and business acumen — comfortable engaging with operators, finance leaders, and non-technical stakeholders.
Exposure to private equity, roll-ups, M&A, or holding company operations is a strong plus.
Scrappy, action-oriented, and comfortable operating in ambiguous, fast-moving environments.
US citizenship required. Visa sponsorship is not available.
Base salary range: $110,000 – $150,000 USD annually.
On-site in New York, NY, United States.