We're looking for a seasoned, high-output engineer who can operate within our product portfolio — from our Public Investor platform and Signals application to our AI-powered customer insights agent. You'll execute on well-defined work, but the expectation is that you go well beyond that — proactively identifying opportunities, improving systems, and driving outcomes that move the business forward
You'll be responsible for production-grade systems that our customers and internal teams depend on daily. That means being responsive, reliable, and an excellent communicator — both when things are going well and especially when they're not
The ideal candidate treats AI coding tools as core infrastructure for how they work — not a novelty. You've shipped full-stack applications, you're comfortable navigating ambiguity, and you have a bias toward action that compounds across a small team
This is a remote-friendly opportunity that can sit in NYC (where our headquarters are located), one of our office hubs (Austin, Miami, or Mountain View), or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding
Own features and systems end-to-end across multiple product surfaces — architecture, implementation, deployment, and iteration
Design systems that are clean, maintainable, and built to scale — you know how software should be structured
Work directly with stakeholders across engineering, product, data, revenue, and customers to translate business problems into shipped software
Drive initiatives across teams — you're not waiting for a PM to write a spec; you're in the room shaping what gets built and why
Use AI tools (Claude Code, Cursor, Codex) as a daily force multiplier — for implementation, code review, testing, documentation, and exploration
Operate across the full stack: backend services, frontend applications, data pipelines, and infrastructure
Make pragmatic technical decisions that balance speed, quality, and maintainability in a fast-moving environment
Raise the bar for the engineering team through code quality, tooling improvements, and knowledge sharing