AI Engineer
About the role
Official Title: AI Engineer
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.
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
YipitData turns billions of alternative-data points into signals that institutional investors and Fortune 500 customers depend on for high-stakes decisions. The data science team owns the methods behind those signals. We do causal inference on panel data, predictive modeling against earnings outcomes, and the white papers customers read.
This role pairs applied data science with AI-native tooling. You will own substantive analytical projects end-to-end. You will use LLM coding assistants as a primary collaborator across every phase of the work: exploratory analysis, production code, written deliverables. You will also help shape how the team builds with AI-native workflows, including tool selection, guardrails, and evaluation patterns.
This is a remote-friendly opportunity that can sit in NYC (where our headquarter is located), one of our office hubs (Austin, Miami, Denver, Mountain View, or Seattle), or anywhere else in the US.
As an AI Engineer, you will:
- Translate ambiguous customer questions into well-scoped data science projects spanning panel data, time series, and causal inference
- Engineer features from large alternative-data panels (transaction-level, invoice-level, web-scraped) using Spark
- Build, validate, and interpret causal and predictive models that link alternative-data signals to financial outcomes such as revenue, earnings surprise, and KPI inflections
- Author technical white papers and customer analyses for institutional investors and Fortune 500 readers, including figures, equations, and narrative framing for sophisticated readers
- Use LLM coding assistants and agents as a primary collaborator: prototype faster, write higher-quality code, audit your own work, and ship deliverables in compressed timelines
- Build internal LLM