Senior Software Engineer

Suru; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Suru, a NYC-based AI platform company, is hiring a Senior Software Engineer to build the product at the center of how brands coach their networks. You will span frontend, data, and AI systems, delivering user-facing features, data integrations, and agentic orchestration.

Ideal candidates will ship enterprise-grade software, manage data isolation standards, and own end-to-end product components with real impact for coaching at scale.

Qualifications

• A strong generalist engineer, comfortable across frontend, backend, and data.
• You've built and shipped product in TypeScript and React — user-facing features you owned end to end.
• You know how data systems actually work: ETL, relational database design, query performance, moving messy real-world data.
• You've shipped enterprise software and understand SOC 2, privacy, and data isolation.
• You've deployed agentic systems in production, not just demos — context assembly, tool/function calling, orchestration, structured outputs, and how these systems fail.
• Product- and business-minded — you can argue why something matters, not just how it's built.
• You've built real things at scale, with real users and real stakes.

Responsibilities

• 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 tenants
• Work on the agentic systems that generate guidance: context assembly, tool calling, multi-step orchestration, and structured outputs
• Keep it enterprise-grade — data isolation, access, and correctness handled right
• Own problems, not tickets — real say over what gets built and how

Skills

TypeScript

React

ETL

Database design

Data integration

Agent systems

SOC 2

Enterprise software

Full-stack

Performance

Job description

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 tenants
• Work on the agentic systems that generate guidance: context assembly, tool calling, multi-step orchestration, and structured outputs
• Keep it enterprise-grade — data isolation, access, and correctness handled right
• Own 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 data
• You've built and shipped product in TypeScript and React — user-facing features you owned end to end
• You know how data systems actually work: ETL, relational database design, query performance, moving messy real-world data
• You've shipped enterprise software and understand what SOC 2, privacy, and data isolation mean in practice
• You've deployed agentic systems in production, not just demos — context assembly, tool/function calling, orchestration, structured outputs, and how these systems fail
• Product- and business-minded — you can argue why something matters, not just how it's built
• You've built real things at scale, with real users and real stakes

Strong Pluses

• Experience designing APIs or MCP servers built for agent consumption
• Early engineer at a company that scaled

Why This Role

• Foundational engineering hire — you'll shape both the product and how the team builds it
• A real product with real customers — well-known brands already running on the platform
• Varied, hard engineering: frontend, data, enterprise systems, and AI, rarely the same problem two weeks running