Senior Software Engineer

YipitData · Full-time · Posted 3w ago

About Us

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

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 mastery.

What It's Like to Work at YipitData

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.

Ownership That Matters: You'll lead high-impact projects with real business outcomes
Rapid Growth: We compress years of learning into months
Merit Over Titles: Trust and responsibility are earned through execution, not tenure
Velocity with Purpose: We move fast, support each other, and aim high — always with purpose and intention

About The Role

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.

As a Senior Software Engineer, You Will

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 Are Likely To Succeed If

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

What We Offer

Our compensation package includes comprehensive benefits, perks, and a competitive salary:

Flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more
Your growth at YipitData is determined by the impact you make, not by tenure, unnecessary facetime, or office politics
The annual on-target earnings for this position is anticipated to be up to $1700K - $190K. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks

This role may be performed fully remotely within the United States. Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.

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