SECTION I · THE BRIEF
Brief #04427Updated 15 JAN 2021SAN FRANCISCOLeverSOFTWARE COMPANIES
Employbl Company Profile

Business Analyst, Hive Models

Hive Technology, Inc. operates as a software development company. The Company automates workflows for organizing the team's action. Hive Technology provides a platform that allows user to see all team's actions,…

Location
San Francisco
Company size
5–20
Posted
5y ago
Via
Lever
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Business Analyst, Hive Models - Hive

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Job Title
Business Analyst, Hive Models
Job Location
San Francisco
Job Description
About Hive

Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Business Analyst, Hive Models

As a Business Analyst on the Hive Models team, you will work closely with our Machine Learning, Product, and Business Development teams to ensure successful client deployments of our products. A mix of product configuration, project management, and client success, this is a unique role that demands both technical competence as well as client management abilities. You will serve as the point person for major client engagements, taking on a wide range of responsibilities to ensure integration success.
Responsibilities
  • Collaborate with engineering teams to ensure successful technical deployments
  • Write scripts to analyze technical performance of production machine learning models
  • Analyze customer submissions, data, and results to understand desired changes to the machine learning models
  • Generate APIs for use by customers by ensuring accuracy of the technical configurations of the machine learning models
  • Collaborate with the product team and other stakeholders to ensure customer needs are met, including resolving any technical issues that users run into while accessing our machine learning models
  • Collaborate with the product and engineering teams as needed for other technical aspects of product deployment with customers
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority
  • Requirements
  • You have a bachelor's or graduate degree in Computer Science or a related field, such as Engineering or Mathematics
  • You have 1-3 years of work experience in a Product Management or Engineering role at a technology or technology consulting company
  • You have working knowledge of functional programming languages such as Python or Node.JS
  • You have experience in an interdisciplinary/cross-functional field. Added points for enterprise-technology, SaaS, client facing, or start-up experience
  • You have distinctive problem-solving skills and impeccable business judgment
  • You possess excellent written and verbal communication skills
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    Hive Headquarters Location

    New York, NY

    View company profile

    Hive Company Size

    Between 5 - 20 employees

    Hive Founded Year

    2016

    Hive Total Amount Raised

    $26,000,000

    Hive Funding Rounds

    View funding details
    • Series B

      $10M

    • Series B

      $10M

    • Series A

      $10.6M

    • Series A

      $10.6M

    • Seed

      $4M

    • Seed

      $4M

    • Seed

      $1.4M

    • Seed

      $1.4M