Senior Software Engineer

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers — ranging from the world's top investment funds to Fortune 500 companies — depend on to drive high-stakes decisions.

We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture — recognized by Inc. as a Best Workplace for three consecutive years — emphasizes transparency, ownership, and continuous mas...

YipitData isn't a place for coasting — it's a launchpad for ambitious, impact-driven professionals. From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

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
You have 4+ years of hands-on software development experience with a proven track record of shipping customer-facing applications — and the impact to show for it
You are stack-flexible: comfortable working across Python, TypeScript/React, and cloud infrastructure (AWS, Databricks). You learn new tools fast and don't let unfamiliar tech slow you down
You have an AI-accelerated workflow — you actively use AI coding tools to ship faster, not as an experiment, but as how you work every day
You thrive in ambiguity — you can take a vague business problem, break it down, and deliver a working solution without heavy-handed direction
You are a strong communicator who can work directly with non-technical stakeholders, translate between business needs and engineering tradeoffs, and drive alignment
You are responsive and reliable — you take ownership of production systems and communicate proactively, especially under pressure
You have a bias toward action and ownership — you see a problem, you fix it; you see an opportunity, you ship it
You hold a Bachelor's or Master's degree in Computer Science, STEM, or a related technical discipline