Forward Deployed Software Engineer at Hive (San Francisco, CA)

Hive· San Francisco, CA·3d ago

Role details

Work type

Onsite

Employment

Full-Time

Job description

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

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

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.

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)

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.

Content Moderation APIs: Pre-trained models to detect NSFW, hate speech, violence, CSAM, and other harmful content across images, video, text, and audio.
Brand Protection & Sponsorship Measurement: AI-driven tools to measure sponsorship exposure, optimize ad targeting, and protect brand safety across platforms.
Search & Identification: Next-generation search capabilities for datasets including web images, intellectual property, and customer-provided content.
Generative 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.

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.

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.

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.

Sources