Sales Operations Manager, Hive

Salary not provided
Mid and Senior level
San Francisco Bay Area
Hive

AI content moderation platform

Open for applications

Hive

AI content moderation platform

201-500 employees

B2BArtificial IntelligenceEnterpriseContentComputer VisionMachine LearningAutomation

Open for applications

Salary not provided
Mid and Senior level
San Francisco Bay Area

201-500 employees

B2BArtificial IntelligenceEnterpriseContentComputer VisionMachine LearningAutomation

Company mission

To use AI to unlock the next wave of intelligent automation.

Role

Who you are

  • Bachelor's degree from a well-known 4-year university
  • 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

What the job involves

  • 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
  • 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

Otta's take

Theo Margolius headshot

Theo Margolius

COO of Otta

Hive is an AI-as-a-service platform that empowers companies to make smarter decisions through intelligent automation. It is best known for its AI-powered image recognition system. It analyzes images of brands, products and celebrities that allow companies to understand when, where and how their assets are seen.

The challenge with artificial intelligence is that it takes a lot of human labor to make it all work. Hive has embraced this human element, employing over 2 million contractors to label images, video, text and audio content collected from the web. This annotated data is used to train Hive's content moderation AI. This has given it an edge in a competitive market which includes offerings from AI heavyweights such as Microsoft, Amazon and Google, as well as numerous startups like Sentropy and Spectrum Labs.

Hive has raised a significant amount of funding, closing a Series D round led by Glynn Capital in 2021. Hive is focusing on the continued development of its cloud-based deep learning models and plans to invest in further building its sales and marketing teams to expand its market presence.

Insights

Top investors

Few candidates hear
back within 2 weeks

16% employee growth in 12 months

Company

Funding (last 2 of 5 rounds)

Apr 2021

$50m

SERIES D

Jun 2020

$35m

SERIES C

Total funding: $142.2m

Company benefits

  • Equity
  • Catered meals
  • Comprehensive insurance
  • Corporate gym membership

Company values

  • Product is paramount
  • Set the pace
  • Solve for scale
  • Communicate with candor
  • Responsible growth

Founders

Studied Computer Science and Math at Stanford. Was a Venture Associate at Mithril Capital Management. Co-founded Kiwi, an AI company, in 2014. Co-founded Hive in 2017.

Background in Computer Science and Philosophy. Graduated from Stanford and joined Google as a Software Engineering Intern. Co-founded Kiwi. Is a Research Assistant at Stanford.

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