• Hive

  • Sales Operations Manager
Hiring

Sales Operations Manager

Operations · Full-time · San Francisco, United States

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!

Sales Operations Manager 

Hive is looking for a strong sales operations leader to provide direction, insight, and strategy across the board. As a Sales Operations Manager at Hive, you will sit cross-functionally across our sales and operations teams and will be responsible for generating actionable sales and go-to-market insights. You will play a critical role in improving and scaling our sales operations and partner with sales leaders to guide and execute on operational initiatives to enhance go-to-market productivity. Our ideal candidate is a natural leader who loves identifying trends and providing data-driven insights. A passion for start-ups and AI is a must.

Responsibilities

  • Measure, track, and analyze key sales metrics relevant for our business and create actionable insights from such data
  • Identify and execute on initiatives to improve sales funnel performance
  • Partner with the sales team to utilize systems that increase sales efficiency, including CRM and additional sales operations tools
  • Collaborate with sales and marketing teams to optimize go-to-market processes and tools
  • Create concise, regular reporting for various executive stakeholders
  • 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

  • Bachelor's degree
  • You have 3-5 years of experience in operations (or a similar analytical role) at a software company, or 3-5 years of experience in consulting or finance
  • You have lived and breathed Salesforce and have strong analytical skills that you put to use daily
  • You can see trends in seemingly dissociated data
  • You have excellent written and verbal communication skills, strong attention to detail, and superior organizational abilities
  • You have demonstrated success in a competitive environment
  • You are comfortable with adapting and adjusting to multiple demands, shifting priorities, ambiguity, and rapid change
  • You are driven; no one needs to push you to excel –– that’s just who you are
  • You are hungry to learn and actively look for opportunities to contribute

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Hive

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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 powered by proprietary AI models and datasets, unlocking breakthrough applications for critical business needs with deep learning and generative AI. Collectively, Hive's technology is transforming approaches to platform integrity / content moderation (including AI-generated content detection), brand protection, sponsorship measurement, context-based ad targeting, and more.