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Hive

Builds AI models for content safety and search

Product Analyst - Sports, Media, & Marketing

Data AnalysisConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • A bachelor’s or graduate degree in a quantitative field such as Statistics, Computer Science, Engineering, or Mathematics.
  • One to three years of work experience in an analytics-focused role at a technology or technology consulting firm.
  • Experience scripting with SQL, extracting large data sets, and designing ETL flows.
  • Experience with a statistical or scripting language such as Python, Node.js, R, or MATLAB.
  • Experience in an interdisciplinary or cross-functional field; enterprise-technology, SaaS, client-facing, or start-up experience is an advantage.
  • Ability to translate analysis results into business recommendations and experience articulating product and business questions, querying data sets with SQL, and conducting business analysis.
  • Ability to collaboratively structure and define analysis with initially ambiguous requirements.

Responsibilities

  • Develop product quality and performance KPIs and track them over time through dashboards and automated reporting.
  • Analyze high-volume data using SQL and communicate findings effectively.
  • Collaborate with Business Development to provide data-backed insights to partners and clients.
  • Develop and own product processes, collaborating with Engineering and QA teams to execute process-driven objectives.
  • Maintain awareness of industry best practices for data maintenance handling as it relates to the role.
  • Adhere to policies, guidelines, and procedures for protecting information assets.
  • Report actual or suspected security or policy violations or breaches to an appropriate authority.

Desired Qualifications

  • Experience in enterprise technology, SaaS, client-facing work, or a start-up.

About the Company

Hive

Builds AI models for content safety and search

Hive builds AI models for businesses that need to understand, search, and generate digital content, with a focus on online platforms and media companies. Its content moderation tools classify harmful material in images, video, text, and audio, while separate models identify synthetic media and impersonation. Developers connect the models to their applications through cloud APIs, and teams use dashboards to review flagged content and manage decisions. Customers pay for the amount of content processed, with custom pricing and support for enterprise deployments; the platform also runs image search and content generation models. Founded in 2013, Hive is headquartered in San Francisco.

Company size
201-500
Company stage
Series A
Total funding
$20.9M
Headquarters
San Francisco, CA
Founded
2013

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