About the Role

We're a fast-growing, well-funded AI-native analytics company (Series A/B equivalent) building an agentic data lakehouse that delivers trustworthy answers from messy enterprise data. Our platform helps organizations in highly regulated industries — including financial services and healthcare — query and reason over complex data using natural language, without heavy schema migrations or data movement.

As a Senior Software Engineer, Platform, you'll join the platform team shaping the data foundation that powers AI-driven analytics at scale. This is a zero-to-one, high-ownership role at a ~40-person company with strong investor backing and notable enterprise customers.

What You'll Do

Agentic Semantic Layer: Build the system that gives AI agents the context to query enterprise data correctly and the guardrails to prove their results — making AI-generated analytics something teams can actually stake decisions on.
Distributed Agent Orchestration: Design and implement orchestration systems for agents that interact with the real world — including API integrations, rate limiting, OAuth passthrough, model routing, scheduling, and token optimization.
Agentic Data Engineering: Architect AI-centric ETL pipelines for data lakehouses that make large-scale analytics possible for organizations with little to no dedicated data engineering resources.

What We're Looking For

Required:

4+ years of practical experience as a backend or platform engineer building scalable distributed systems
Strong proficiency in Golang, with the ability to contribute across infrastructure, services, or frontend as needed
Hands-on experience with gRPC/ConnectRPC, Trino, Kubernetes, DuckDB, and PostgreSQL in a distributed data platform environment
Experience designing or implementing ETL pipelines, data modeling, or schema design for data platforms
Experience building orchestration systems for distributed agents (API integrations, rate limiting, OAuth, model routing, scheduling, or token optimization)
Prior experience at an early-stage startup, ideally building products from zero to one
Bachelor's degree in Computer Science, Software Engineering, or comparable professional experience
Strong CS fundamentals

Nice to Have:

Experience with data visualization tools or big data technologies (Spark, Hadoop, or similar)
Background at a VC-backed startup

Compensation & Benefits

Salary: $200,000 – $350,000 USD annually (depending on experience)
Equity participation
Visa sponsorship is available

Location

This role is on-site in New York City, NY. Candidates must be willing and able to work in-office full-time. Fully remote arrangements are not available for this position.

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