---
title: 'Forward Deployed Software Engineer at Hive'
canonical: 'https://feeny.ai/job/forward-deployed-software-engineer-hive-san-francisco-zz62cd5qdy9c'
type: 'job'
last_seen: '2026-09-08'
---

# Forward Deployed Software Engineer at Hive

- **Company:** Hive
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-02-13
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/hive/e91c1a5a-fd0d-434e-a912-017e6231ce50

## Job description

## Responsibilities

- Own the full end-to-end delivery of high-impact solutions for our most strategic partners
- Efficiently resolve urgent technical customer support tickets; ensure proactive and timely communication with key client stakeholders
- Drive innovation through coding and implementation in order solve complex problems
- Collaborate cross-functionally with product and engineering teams to influence priorities and shape product roadmap
- Build and maintain internal documentation, playbooks, and enablement content
- Actively partner with customers to define success metrics, KPIs, and adoption strategies aligned to their goals; track progress against metrics
- Represent the voice of the customer internally, and provide actionable feedback to influence product direction and feature development
- Monitor usage, adoption, and engagement metrics to proactively address risks and ensure long-term retention
- 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 in computer science, mathematics, engineering, physics, or a related technical field
- 1+ years of software engineering experience
- Prior professional experience supporting technical customers and iterating solutions in real time
- Strong engineering background with proficiency in programming languages such as Python, Javascript/Typescript, or similar, and a deep understanding of software architecture and API integrations
- Excellent verbal and written communication skills and exceptional attention to detail, with experience engaging both business and technical audiences
- Ability to juggle multiple priorities in a fast-paced environment

## 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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