Associate Director of Product Classification

2 weeks, 2 days ago
Full-time
Lead
Data Science and Analytics
YipitData

YipitData

YipitData specializes in market research for the disruptive economy by analyzing billions of data points daily to deliver accurate and timely insights on over 1,000 companies, aiding investors in making informed decisions and helping businesses enhance...

Professional Services
251-1K
Founded 2013
$492M raised

Description

  • Own operational leadership and accountability for the Product Classification organization.
  • Build and manage metrics, performance standards, SLAs, and escalation paths for classification accuracy, throughput, and quality.
  • Run recurring operating cadences such as standups, reviews, and retrospectives to surface issues and drive continuous improvement.
  • Recruit, onboard, train, and develop Data Classification Analysts and team leaders.
  • Create onboarding programs, training curricula, and knowledge bases to reduce ramp time and preserve institutional knowledge.
  • Oversee LLM prompt ownership, category rules, and scalable analytic checks to improve classification accuracy.
  • Foster a culture of operational excellence, ownership, curiosity, and knowledge sharing across the team.
  • Partner closely with Engineering, Data, Insights, and the Product Manager on system feasibility, roadmap input, and execution handoffs.
  • Identify opportunities to apply AI and automation to replace or augment manual classification work.
  • Stay current on advancements in NLP, LLMs, and classification technology to inform team strategy.

Requirements

  • 8+ years of experience in data analytics, data operations, category mapping, or consulting.
  • At least 4+ years leading teams of 10+ people.
  • At least 2 years of experience managing team leaders.
  • 2+ years of experience using SQL, Python, PySpark, or similar languages to work with large, complex datasets.
  • Familiarity with GitHub and Databricks.
  • Experience building systems, metrics, and processes that scale.
  • Proven track record of hiring strong talent, building training programs, and developing leaders.
  • Comfort working in ambiguity and building structure from scratch.
  • Strong oral and written communication skills.
  • Preferred: experience with product taxonomies, categorization systems, e-commerce data, or similar classification domains.

Benefits

  • Flexible work hours and flexible vacation.
  • Generous 401(k) match.
  • Parental leave.
  • Team events.
  • Wellness budget.
  • Learning reimbursement.
  • Competitive annual on-target earnings of up to $210K–$220K plus bonus.
  • Equity as part of the compensation package.

Interested in this position?

Apply directly on the company website

Apply Now

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