---
title: 'Business Operations Analyst at Hive'
canonical: 'https://feeny.ai/job/business-operations-analyst-hive-san-francisco-mtv3rd4t3aea'
type: 'job'
last_seen: '2026-09-08'
---

# Business Operations Analyst at Hive

- **Company:** Hive
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Posted:** 2021-06-22
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/hive/0fcd320b-b613-4ecf-b217-f4714cf56a61

## 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 Operations Analyst Role

We are looking for a talented individual to support business operations at Hive. As a Business Operations Analyst, you will be assisting your manager and executives with a variety of key activities, including improving existing processes and procedures to create effective structures for growth, implementing effective reporting and productivity goals for various teams, and tackling high impact ad hoc projects touching various company functions. Our ideal candidate has strong generalist skills, a proven background of success in a high-pressure environment, and an enthusiasm for digging deep into the metrics of various operations. They are able to step into any role and help out with any project as needed. A passion for startups and AI is a must.

## Responsibilities

- Assist in executing operational and strategic initiatives; help set short-term and long-term goals to drive company growth
- Be the operations support in managing and delivering projects; stay updated on surrounding business operations activities and assist when needed
- Collect and organize data from various teams to conduct effective reporting and ensure metrics are useful, visible, and streamlined
- Advise managers on findings and the various courses they can take to address challenges
- Actively look for ways to improve upon and optimize existing procedures, systems, and processes
- Act as a generalist in getting anything and everything done to help the company grow

## Requirements

- You have a Bachelor's degree in a quantitative discipline
- You have 0 - 2 years of work experience at a top consulting or banking organization
- You take initiative to direct your own days, identify worthwhile projects, and take actionable steps to accomplish goals
- You are energetic, resourceful and driven, and have the ownership to thrive in an unstructured environment
- You are hungry to learn and you actively look for opportunities to contribute
- You are highly organized and detail-oriented; you can handle multiple projects and dynamic priorities without missing a beat

## Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $50,000 - $90,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

## About Hive

## Company Overview
- **One-liner**: Hive provides cloud-based AI models and APIs to understand, search, and generate content for enterprises.
- **Entity Type**: Private (Series D, $50M raised in April 2021 at a $2B valuation)
- **Headquarters**: San Francisco, California, USA (additional offices in Seattle, USA and New Delhi/Gurgaon, India)
- **Founded**: 2013
- **Founders**: Kevin Guo (CEO) and Dmitriy Karpman (CTO)

## Core Business
- **Primary industry**: Artificial Intelligence / Machine Learning (content understanding, moderation, brand protection, generative AI)
- **Target customers**: B2B – large digital platforms, media companies, brands, and risk/identity management organizations
- **Mission**: To empower developers with best-in-class, pre-trained AI models and turnkey software for critical business needs.

## Products & Services
- **[Content Moderation APIs](https://thehive.ai/)**: Pre-trained models to detect NSFW, hate speech, violence, CSAM, and other harmful content across images, video, text, and audio.
- **[Brand Protection & Sponsorship Measurement](https://thehive.ai/)**: AI-driven tools to measure sponsorship exposure, optimize ad targeting, and protect brand safety across platforms.
- **[Search & Identification](https://thehive.ai/)**: Next-generation search capabilities for datasets including web images, intellectual property, and customer-provided content.
- **[Generative AI](https://thehive.ai/)**: Proprietary and open-source models to generate text, image, video, and audio content.
- **Turnkey Software**: Ready-to-use applications powered by Hive’s proprietary models for content moderation, contextual ad targeting, and more.

## Market Standing
- **Valuation/Market Cap**: $2B valuation as of Series D (April 2021)
- **Key Metric**: Annual Revenue of $12.5M (estimated, per LinkedIn); Total Funding of $155.7M across 6 rounds (Seed, Series A, B, C, D)
- **Notable Investors/Partners**: General Catalyst, 8VC, Tomales Bay Capital, Glynn Capital
- **Growth Signals**: API volume increased by more than 10x over the past 2 years; headcount grew 7.3% YoY to 287 employees; serves billions of customer API requests monthly; trusted by hundreds of the world’s largest organizations.

## Competitive Advantages
- **Broad, pre-trained model portfolio**: Covers video, image, text, and audio with industry-leading accuracy.
- **Scale and reliability**: Billions of API requests per month, proven at enterprise scale.
- **End-to-end offering**: APIs for developers plus turnkey software for non-technical teams.
- **Strong backing and valuation**: $2B valuation from top-tier venture firms signals market confidence.

## Strategic Focus
- **Scaling infrastructure**: Increasing serving capacity to handle continued API volume growth.
- **Expanding client base**: Targeting large enterprises in media, technology, risk management, and advertising.
- **Deepening generative AI capabilities**: Investing in proprietary models for content generation alongside understanding/search.

## Why Work Here
- **Fast growth environment**: API volume has 10x’d in two years, offering opportunities for impact and career acceleration.
- **Small, high-impact teams**: Employees have direct influence on technical and organizational systems.
- **Competitive compensation**: Base salary plus heavy focus on equity-based compensation for long-term alignment.
- **Comprehensive benefits**: Health, dental, vision insurance; gym membership; on-site roles in San Francisco and Seattle (with an office in New Delhi).
- **Engineering culture**: Emphasis on building models, increasing serving capacity, and solving hard scaling challenges. On-site presence required for many roles.
- **Diverse workforce**: Employees across 15 countries; strong representation from India and US; top talent sourced from Amazon, Meta, Microsoft, and Carnegie Mellon.

## Sources
1. [thehive.ai/careers](https://thehive.ai/careers)
2. [thehive.ai/about-us](https://thehive.ai/about-us)
3. [thehive.ai](https://thehive.ai/)
4. [linkedin.com/company/hiveai](https://www.linkedin.com/company/hiveai)
5. [jobs.lever.co/hive](https://jobs.lever.co/hive)

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