YipitData

YipitData

Associate Director of Product Classification

US Remote · Director

Sponsorship not specifiedDetected 5 days ago
PythonGitSQLDatabricksData AnalysisNLPLLMsValuationCadenceResearchLeadership

About the role

  • This is a fantastic opportunity for someone who thrives in ambiguity & rapid growth.
  • 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.

Responsibilities

  • We move fast, support each other, and aim high-always with purpose and intention
  • YipitData's Corporate team collaborates directly with organizations like Ulta, 3M, and Scotts Miracle-Gro to build one of the most comprehensive views into how consumers in the U.S. are purchasing and engaging with brands.
  • You'll set the metrics that hold people accountable, build the systems that make the team scalable, and ensure our classification quality is best-in-class.
  • Own operational leadership and accountability for the Product Classification organization
  • Recruit, train, and develop a high-performing classification team
  • Build and scale your team, ensuring they can execute consistently on well-defined processes.
  • Ensure analysts own the LLM prompt for each category, continuously refining prompts based on error patterns and client feedback.
  • Build and maintain a culture of operational excellence
  • Build and own the metrics framework that holds every team member accountable for classification accuracy, throughput, and quality.
  • Run a rigorous operating cadence - standups, reviews, retrospectives - that surfaces issues early and drives continuous improvement.

Requirements

  • You have 8+ years of experience in data analytics, data operations, category mapping, or consulting, with at least 4+ years leading teams of 10+, and at least 2 years of experience managing team leaders.
  • You have 2+ years of experience working with SQL, Python, PySpark, or other programming languages to explore and transform large, complex datasets
  • Familiarity with GitHub and Databricks
  • You can clearly communicate complex concepts, both orally and in writing
  • You have a strong ownership mentality and are enthusiastic about making a big impact at a rapidly growing company

Nice to have

  • Data and classification domain experience (preferred). experience with product taxonomies, categorization systems, e-commerce data, or similar domains is a strong plus.

Compensation

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

Benefits

  • Our compensation package includes comprehensive benefits, perks, and a competitive salary:
  • We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
  • The annual on-target earnings for this position is anticipated to be up to $210K ~ $220K + bonus element.
  • The compensation package also includes equity.
  • Create an environment where Data Classification analysts are empowered to go deep - learning the nuances of client needs, franchise structures, brand hierarchies, and how products should be categorized.
  • Work closely with the PM (who owns the classification system architecture and vision) to ensure operational feasibility and team readiness for new initiatives.

Company info

  • 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 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.
  • 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

Equal opportunity

  • equal opportunity employer.

This listing is sourced directly from YipitData's careers page and normalized into a canonical job model.