Greenhouse

Greenhouse

Enterprise hiring platform with AI tools

Overview

Greenhouse is a hiring platform that provides applicant tracking software and recruiting tools for enterprise companies. It helps manage the entire hiring process from sourcing candidates to onboarding new hires, consolidating tasks beyond a standard ATS or CRM into a holistic talent-management solution. The product works by offering features to improve candidate experience, promote workplace diversity, and use AI-powered tools to increase efficiency and collaboration in hiring. Unlike generic recruiting software, Greenhouse positions itself as a strategic partner by covering recruitment strategy, structured hiring processes, onboarding, and ongoing talent management. The company's goal is to streamline and optimize the end-to-end hiring workflow for large organizations, aligning recruiting with broader HR objectives and outcomes.

About Greenhouse

Simplify's Rating
Why Greenhouse is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Enterprise Software

AI & Machine Learning

Company Size

501-1,000

Company Stage

Series D

Total Funding

$111.5M

Headquarters

New York City, New York

Founded

2012

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Simplify's Take

What believers are saying

  • Greenhouse reports 175,000 live jobs and 254 applicants per posting, driving urgent demand.
  • Nearly half a million Dream Job applications since launch show strong user engagement and signal quality.
  • June 2026 AI launches and Ezra completion expand upsell paths across enterprise customers like HubSpot and Coinbase.

What critics are saying

  • Ashby, Lever, and AI-native ATS vendors undercut Greenhouse on price, speed, and analytics in 2026.
  • Greenhouse’s 412% application surge exposes recruiters to spam, fraud, and candidate drop-off immediately.
  • If enterprise suites embed native hiring AI, Greenhouse becomes a workflow layer and loses platform power by 2027.

What makes Greenhouse unique

  • Greenhouse’s structured hiring workflows anchor six June 2026 AI features without removing human control.
  • Greenhouse MCP, in July 2026 beta, governs approved AI tools inside existing permissions and audit trails.
  • Ezra AI Labs acquisition adds structured voice interviews while preserving Greenhouse’s candidate and recruiter workflows.

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Funding

Total Funding

$111.5M

Below

Industry Average

Funded Over

8 Rounds

Notable Investors:
Series D funding is typically for companies that are already well-established but need more funding to continue their growth. This round is often used to stabilize the company or prepare for an IPO.
Series D Funding Comparison
Below Average

Industry standards

$77M
$50M
Greenhouse
$70M
Twilio
$80M
Handshake
$100M
Affirm

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Mental Health Support

401(k) Company Match

401(k) Retirement Plan

Paid Vacation

Paid Sick Leave

Paid Holidays

Unlimited Paid Time Off

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

0%

2 year growth

8%
PR Newswire
Jun 10th, 2026
Greenhouse launches AI tools to strengthen structured hiring amid 412% application surge

Greenhouse, a hiring platform, has announced six new AI capabilities designed to enhance structured hiring while maintaining human control over decisions. The features address a 412% increase in applications since 2023, with AI-polished resumes making candidate evaluation more challenging. The new capabilities include the Greenhouse MCP, which connects approved AI tools to the platform; an Analytics Chart Agent for instant data visualisation; Greenhouse Notetaker for automatic interview transcription; AI Report Insights for dashboard summaries; Job Kickoff Agent for structured role setup; and Candidate Insights Agent for consolidated candidate information. All features launch between June and Q3 2026. The tools work within Greenhouse's structured hiring framework, ensuring AI recommendations remain explainable and evidence-based whilst recruiters retain final decision-making authority. The company serves over 7,500 organisations including HubSpot and Coinbase.

PR Newswire
May 7th, 2026
Greenhouse launches MCP to connect AI tools to hiring platform with governed access

Greenhouse, a hiring platform, has launched the Greenhouse MCP (Model Context Protocol), enabling customers to connect AI tools directly to their hiring system whilst maintaining governance and security controls. The capability will roll out to customers from June. Developed with design partners including StubHub and Komodo Health, the MCP provides a permission-aware connection layer that allows teams to automate workflows, use conversational prompts for complex hiring actions, and experiment with AI-native experiences. All MCP calls operate through defined tools tied to existing permissions and audit trails. According to Greenhouse's survey of 2,950 job seekers, 30% already use AI agents to search for openings and submit applications. The MCP addresses growing pressure on hiring teams to deploy AI tools without compromising governance of hiring decisions.

Sandy Journal
May 5th, 2026
Greenhouse to acquire Ezra AI Labs to bring voice AI interviews to hiring platform

Greenhouse, the hiring platform, has entered into a definitive agreement to acquire Ezra AI Labs, a voice AI interviewing startup. The acquisition, expected to close this quarter, aims to help companies identify talent amid a 412% spike in applications per recruiter since 2023. Ezra conducts structured, AI-led voice interviews that candidates can complete on demand. The platform generates role-specific evaluations with structured scores and transcripts, addressing concerns that 63% of job seekers have faced AI interviews but only 20% believe employers use AI responsibly. Founded in 2024, Ezra previously raised seed funding from PennyJar Capital, LMNT and a16z Speedrun. The technology will integrate with Greenhouse's platform whilst remaining available as a standalone offering for existing customers.

Fortune
May 4th, 2026
38% of job candidates drop out when AI interviews are required

Nearly 40% of job candidates have withdrawn from hiring processes that required an AI interview, according to a recent Greenhouse report. Another 12% say they would drop out if faced with such a requirement. Around 63% of US job-seekers have been interviewed by AI, a 13% increase from six months ago. Recruiters are deploying AI interviewers to manage overwhelming application volumes in a competitive labour market. Of candidates who completed AI interviews, 51% were either ghosted or still awaiting responses. Sharawn Tipton, Greenhouse's chief people officer, warns that poor AI interviewing experiences could backfire on employers through negative word-of-mouth and social media posts. Tipton advises employers to ensure human oversight of AI assessments and offer human interviewer options, cautioning that without intentional implementation, AI hiring could "scale the same inequities the industry has been trying to break, just faster.

PR Newswire
Jun 3rd, 2025
Greenhouse Real Talent™ Launches To Fix Overwhelming Candidate Pipelines While Combatting Fraud And Spam In Hiring

New AI-driven Solution Helps Recruiters Navigate the Chaos of Candidate Pipelines, Identify the Best Candidates, While Securing Organizations Against Fraud and SpamNEW YORK, June 3, 2025 /PRNewswire/ -- Greenhouse, trusted HR tech leader and hiring platform, today announced the launch of Real Talent, a groundbreaking solution designed to address the high costs and growing risks of spam, fraud and cheating in hiring. This solution provides recruiting teams with tools to quickly sort and filter job candidates into a tiered inbox based on their application quality and the likelihood of fraudulent or spam activities.Today's recruiting teams are drowning in applications. Economic uncertainty, AI-powered mass applications, and remote work have led to flooded hiring pipelines with sometimes thousands of candidates per role. The use of AI has also increased levels of spam and fraud. These problems also hurt qualified candidates, who get lost in the noise, leading to slower response rates to their applications and even ghosting by overwhelmed recruiters.Spam is caused by individuals applying for roles in bulk using automated tools, often without high interest or affinity to any specific role. Applicants are also showing up to job interviews with AI co-pilot tools to help them pass interviews, giving them an unfair advantage

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