Sales Operations Analyst, Hive

Salary not provided
Junior and Mid 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
Junior and Mid 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

  • You have a Bachelor's degree from a well-known 4-year university
  • You have 1-3 years of experience in operations (or similar analytical role) at a software/SaaS company, preferably at a tech start-up
  • You are comfortable with using Salesforce and possess strong analytical skills
  • You’re able to work with large data sets and recognize patterns
  • You have excellent written and verbal communication skills, are highly organized, and pay close attention to detail
  • You have demonstrated success in a competitive environment
  • You can easily adapt to changes in priority, meeting demands as they come about and staying focused on targets
  • You are a strong team player, always looking for ways to contribute but also manages well independently
  • You are eager to learn and improve on making current processes more efficient

What the job involves

  • You will use strong quantitative skills to analyze and create comprehensive yet straightforward reports on data regarding consumer behavior, existing and potential market trends, and the effects of applied and alternative sales strategies
  • You will be a key contributor to your team, responsible for day to day oversight of our CRM as well as plotting metrics against Hive’s operational plans and strategic goals to ensure alignment and focus
  • Work multi-functionally with diverse groups to find opportunities for process optimization, process redesign or development of new processes
  • Develop and maintain standard reporting measures (e.g. sales reports) to facilitate summarization and analysis that will aid in the evaluation of operational initiatives and drive efficiency
  • Actively participate in deal reviews with prospects, sales teams, and management
  • Collect information from multiple sources and work on several projects simultaneously; flawless organization is a must
  • Performs well in high-pressure situations in a fast-paced and ambiguous environment; able to execute whatever is thrown at them
  • Recommend action plans based on the quantitative analysis and assessment of all sales operational reporting with the goal of improving customer experience and operational efficiency
  • Work with Sales, Operations, and other teams to develop, evaluate, and propose technical and systematic procedures that make processes more productive
  • Provide business analytics and insights to key business and market development initiatives
  • Make recommendations to help improve business partners’ productivity and performance; proactively review and identify leading and lagging indicators
  • Design, build and implement process automation solutions
  • Comfortable with working in multiple CRM systems and processes

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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