Data Engineer New York City, Full Time

New York City (in-office 4-5 days per week) About Glidepath Glidepath is the agentic AI platform purpose-built for multi‑unit franchise success, from brand discovery through portfolio management. For prospective franchisees: Our AI agents identify the right franchise opportunities and help you navigate the path to building a successful multi‑unit portfolio For current operators: Our AI agents automate workflows, uncover insights, and identify new opportunities For brands: Our AI agents connect you with a qualified pipeline of ambitious franchisees while automating time‑consuming franchise development processes Franchising is a massive industry with over 800,000 locations in the US, nearly a trillion dollars in annual consumer spend, and a rapidly growing footprint internationally. Multi‑unit operators account for over 50% of all franchise locations, yet the tooling and infrastructure to build and scale these portfolios is fragmented and outdated. We're changing that, backed by leading investors, angels, and franchise industry leaders. About the Role We're looking for a Data Engineer to build and own the data foundation that powers Glidepath's platform and AI agents. Our business is built on a deep, continuously evolving dataset of public and proprietary data, and we need someone who can turn that raw complexity into clean, reliable, AI‑ready data. You’ll have end‑to‑end ownership of our data stack — from ingestion and transformation through modeling and downstream consumption — and your work will directly shape what our AI agents can do for operators and brands. Beyond the data layer, you’ll also have the opportunity to build entire products end‑to‑end, including owning the user experience. What You’ll Do Design and build scalable data pipelines that ingest, normalize, and enrich industry data from a wide range of structured and unstructured sources. Own the data model and warehouse architecture that powers our product, AI agents, and internal analytics. Build the infrastructure that makes industry data AI‑ready — relational databases, vector stores, embeddings pipelines, feature stores, and retrieval layers. Own data‑centric features end‑to‑end: Manage the underlying data, build AI‑powered matching engines, configure user‑facing agents, and ship the frontend experiences that surface data‑driven insights and opportunities to users. Own BI and reporting at Glidpepath: building the infrastructure and the analyses that turn business data into clear, actionable insights; turn “I wonder if…” into a trusted answer, and shape what we build next with the insights you surface. Explore new data sources and partnerships that expand Glidepath’s industry knowledge graph across the franchise ecosystem. Define data quality, observability, and lineage standards to increase data trust and reliability. Shape how we think about data as a long‑term competitive moat. Who You Are 6+ years of data engineering experience, ideally in a product‑focused or AI‑driven environment. Strong experience designing and operating production data pipelines — batch and streaming, structured and unstructured. Comfortable with modern data warehouse/lakehouse technologies, orchestration tools, and transformation tooling. Comfortable working with unstructured data and supporting AI/ML workloads. Strong data modeling instincts and high standards for data quality, observability, and reliability. High ownership mindset: you treat the data stack as a core product pillar and hold yourself accountable to a high standard. Curious and ambitious: you love going deep on messy real‑world data and turning it into true customer impact. Bias for action: you ship and iterate quickly without waiting for perfect conditions or complete information. AI‑native: you use AI coding tools to amplify your impact and velocity. Even if your current company doesn’t lean into AI, you regularly use AI tools personally, and you’re eager to work somewhere that leverages AI as a core pillar. Startup or early‑stage experience is a plus. Interest in franchising and local businesses is a plus. Why Join Glidepath Meaningful impact: Help support local communities by empowering local operators and elevating great franchise brands. Ownership and responsibility: Own significant pieces of the business and have direct influence on company direction. AI‑native: Join a team that is pushing the boundaries of AI capabilities, both for our product and how we operate internally. Strong benefits: Fully‑covered healthcare options and unlimited PTO. In‑person team: Work alongside the founding team in NYC. #J-18808-Ljbffr