Senior Software Engineer (US)

YipitData•New York, NY

5d•Remote

About The Position

YipitData is seeking a seasoned, high-output Senior Software Engineer to join their product portfolio, working on platforms like Public Investor, Signals, and an AI-powered customer insights agent. The role involves executing well-defined tasks while proactively identifying opportunities, improving systems, and driving business outcomes. The engineer will be responsible for production-grade systems, requiring responsiveness, reliability, and excellent communication. The ideal candidate will leverage AI coding tools as core infrastructure, have experience shipping full-stack applications, be comfortable with ambiguity, and possess a bias for action. This is a remote-friendly opportunity within the US, with potential for New York State tax withholding depending on work location. The company emphasizes a culture of ownership, rapid growth, and meritocracy.

Requirements

4+ years of hands-on software development experience with a proven track record of shipping customer-facing applications
Comfortable working across Python, TypeScript/React, and cloud infrastructure (AWS, Databricks)
Actively use AI coding tools to ship faster, not as an experiment, but as how you work every day
Can take a vague business problem, break it down, and deliver a working solution without heavy-handed direction
Strong communicator who can work directly with non-technical stakeholders, translate between business needs and engineering tradeoffs, and drive alignment
Responsive and reliable — takes ownership of production systems and communicates proactively, especially under pressure
Bias toward action and ownership — sees a problem, fixes it; sees an opportunity, ships it
Bachelor's or Master's degree in Computer Science, STEM, or a related technical discipline

Responsibilities

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
Work directly with stakeholders across engineering, product, data, revenue, and customers to translate business problems into shipped software
Drive initiatives across teams
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