Senior Software Engineer

Senior Software Engineer We build the AI platform that franchise headquarters use to coach every location in their network. Think of a national fast food chain, gym, or wax studio — HQ doesn't own the hundreds of locations operating under its name, but it's responsible for the performance of the whole network. Our platform reads everything a brand tracks across its locations and turns it into contextualized, prescriptive guidance: where each location should focus and what to do next. We're a small, fast-moving team based in NYC, working with major multi-unit brands across fast food, fitness, wellness, and home services. The Role We're hiring a Senior Software Engineer to build the product at the center of it all — from the interfaces coaches and executives use every day, down through the data and systems that turn a brand's complexity into guidance. This is a true generalist role spanning three areas: the product surface (TypeScript/React), the data backbone (integrations, ETL, multi-tenant database design), and the agentic systems that generate the coaching itself (context assembly, tool calling, orchestration). What You'll Do Build the product surface in TypeScript and React — the views where a coach sees prioritized locations, understands why one is flagged, and gets clear next actions. Own components end to end.Build and run the data backbone — integrations, ETL, and database design that turn many systems into clean, queryable truth at real volume across many tenantsWork on the agentic systems that generate guidance: context assembly, tool calling, multi-step orchestration, and structured outputsKeep it enterprise-grade — data isolation, access, and correctness handled rightOwn problems, not tickets — real say over what gets built and how What We're Looking For A strong generalist engineer, comfortable across frontend, backend, and dataYou've built and shipped product in TypeScript and React — user-facing features you owned end to endYou know how data systems actually work: ETL, relational database design, query performance, moving messy real-world dataYou've shipped enterprise software and understand what SOC 2, privacy, and data isolation mean in practiceYou've deployed agentic systems in production, not just demos — context assembly, tool/function calling, orchestration, structured outputs, and how these systems failProduct- and business-minded — you can argue why something matters, not just how it's builtYou've built real things at scale, with real users and real stakesComfortable operating in ambiguity Strong Pluses Data science depth — causal inference, time-series, experimentationExperience designing APIs or MCP servers built for agent consumptionEarly engineer at a company that scaled Why This Role Foundational engineering hire — you'll shape both the product and how the team builds itA real product with real customers — well-known brands already running on the platformVaried, hard engineering: frontend, data, enterprise systems, and AI, rarely the same problem two weeks running