Staff Software Engineer, AI
YipitData
| Company | YipitData |
| Category | Engineering |
| Location | Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 27 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.
We operate globally with offices in the US, APAC, 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.
Why Top Talent Chooses YipitData:
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
If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for.
About The Role:
We’re looking for a seasoned Staff Software Engineer, to help develop our rapidly growing platform for our Corporate organization. This team builds AI-enabled products and analytics experiences used by major US retailers and brands to better understand their shoppers, market share, and competitive positioning through our analytics portal and Insight Agent offerings. The ideal candidate possesses 7+ years of architecting and developing full-stack applications, strong experience building high-quality user experiences and scalable distributed systems, and 5+ years working with technologies such as Python, React, AWS, and modern data platforms. They should have a strong understanding of application architecture, APIs, observability, messaging and workflow patterns, and how infrastructure decisions impact the systems they build. They should also have hands-on experience building LLM-powered products and Agent Experiences, including designing Agent Loops, integrating MCP, and developing custom tools.
You'll be responsible for production AI Agent 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 are customer-obsessed in your approach to improving software.
This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one of our office hubs, 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 Our Staff Software Engineer You Will:
Own features and systems end-to-end for our Corporate Insight Agent — from requirements gathering and solution design through implementation, deployment, and iteration
Serve as a subject matter expert across the sta
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