4 дня назад
Senior/Lead Product Analyst (AI)
127 000 - 216 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior/Lead Product Analyst (AI): Building measurement systems for content understanding, content supply, metadata quality, discovery, and engagement across a library of more than 400 million documents with an accent on product analytics, experimentation, metric governance, and AI-assisted workflows. Focus on sizing content gaps, designing metrics and experiments, investigating data anomalies, and influencing product strategy with reliable analysis.
Location: Hybrid work through Flex, with occasional in-person attendance required. Primary residence must be in or near an approved city in the United States, Canada, or Mexico.
Salary: USD 127,000–216,500 in the United States, depending on geographic market; California range USD 153,000–216,500. Canada range CAD 152,000–194,000.
Company
operates , SlideShare, Everand, and Fable to help people move from access to insight, application, and expertise.
What you will do
- Build measurement frameworks for content classification, metadata coverage, accuracy, discovery, and engagement.
- Analyze content supply, identify gaps between user demand and the corpus, and estimate investment value through market sizing, segmentation, and ROI modeling.
- Partner with Product Managers, Engineering, Machine Learning, Data Science, and Analytics Engineering on strategy, roadmaps, instrumentation, and measurement.
- Design, analyze, and present A/B tests and other experiments for content-related product changes.
- Define and maintain KPIs, metric definitions, dashboards, documentation, and data-quality standards.
- Investigate anomalies, validate AI-assisted analysis, and present recommendations to product, engineering, and executive audiences.
Requirements
- 4+ years of product analytics experience for Senior level or 7+ years for Lead level, with demonstrated influence on product or business decisions.
- Advanced SQL and experience with Python or R for analysis and statistical work.
- Experience with Databricks or a similar modern data warehouse and BI tools such as Looker or Tableau.
- Experience with experimentation, including A/B test design, hypothesis testing, and statistical analysis.
- Experience defining and defending metrics, working with Product Managers and Engineers, and communicating with technical and non-technical audiences.
- Bachelor’s degree in a quantitative field or equivalent practical experience.
Nice to have
- Experience with content-heavy platforms, supply analytics, content quality, classification, taxonomy, metadata, search, or recommendation systems.
- Experience evaluating ML or LLM outputs against labeled data.
- Experience with experimentation platforms such as Statsig.
- For Lead candidates, experience mentoring analysts and setting measurement standards.
Culture & Benefits
- Flex provides a flexible work model balanced with intentional in-person collaboration.
- Health, dental, vision, mental health, disability, paid leave, parental leave, and family support benefits.
- Retirement matching, employee equity, learning and development programs, and professional growth opportunities.
- Wellness and home office stipends, complimentary product access, and enterprise access to AI tools.
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