Greenhouse is a leading applicant tracking system and hiring platform built around structured hiring, powerful workflows, and collaboration. It’s a strong fit for enterprise companies that want consistency and control across every stage of recruiting, from sourcing to onboarding.
But that same power, complexity, and price point mean it won’t suit every business or team without dedicated TA operations.
Our research team invested over 40 hours evaluating the official Greenhouse site, docs, and verified user reviews. We identified where Greenhouse shines and where teams may struggle or need integrations.
Why Trust Our Review?
This in-depth greenhouse review is written specifically for founders, TA leaders, and hiring teams who care about structured processes, scalability, and ROI, not just “cool features.”
Here are the factors we considered:
- Primary sources first: All product features, plans, and positioning come directly from Greenhouse’s official site, product pages, and documentation.
- Verified user feedback: Pros and cons are gathered from real users on Capterra, G2, and SoftwareSuggest. No random blogs or affiliate lists.
- Hands-on perspective: We assess implementation effort, fit by company size, TA operations impact, and how Greenhouse functions in real recruiting workflows, not just in sales decks.
Greenhouse Overview

Greenhouse is an end-to-end hiring platform that combines an ATS, CRM-style sourcing tools, and onboarding capabilities into one ecosystem.
It’s built around structured hiring: defining a clear scorecard, designing interview plans, standardizing questions, and collecting feedback through scorecards to reduce bias and make decisions based on evidence rather than gut feel.
On top of that foundation, Greenhouse has:
- AI-powered workflows for candidate summaries, job descriptions, scheduling, and pipeline management.
- Analytics and reporting that aim to give recruiting and HR leaders visibility into pipeline health, source performance, and DE&I metrics.
- A large integration ecosystem so teams can connect assessments, HRIS, background checks, and collaboration tools into a single hiring stack.
Greenhouse Key Features
Below are the core capabilities of Greenhouse we found across its official website and docs:
- Applicant Tracking & Workflows: Track candidates through configurable pipelines and stages for clear hiring velocity.
- Built-in AI Tools: Auto-generate interview plans, summarize scorecards, and auto-fill evaluation fields to save interviewer time.
- Structured Interviewing & Scorecards: Create consistent scorecards and rubrics to reduce bias and improve decision quality.
- Sourcing CRM: Maintain talent pools, nurture prospects, and run outreach from a centralized CRM.
- Scheduling & Calendar Sync: Integrated scheduling that syncs with major calendar tools and reduces back-and-forth.
- Reporting & Analytics: Hiring metrics and dashboards to analyze funnel performance and DE&I signals.
- 500+ Integrations & Open API: Connect job boards, background checks, video interviews, HRIS systems, and more.
- Governance & Security: Enterprise controls, SSO, GDPR support, and admin governance for compliance needs.
Greenhouse Pricing
Greenhouse does not disclose specific pricing on its website. Instead, pricing is quote-based and depends on company size, product tier, and add-ons. The structure of the plans and the inclusions of each tier are publicly available.
Note: All pricing is customized. The table below summarizes what’s included per tier, not the cost.
Pros of Greenhouse
Below are the highlights of Greenhouse based on real-user reviews:
- Strong for Structured, Collaborative Hiring at Scale: Users often say Greenhouse makes standardising hiring workflows easier across teams and locations. Interview kits, scorecards, and stage automation keep hiring managers aligned and reduce ad-hoc processes.
- User-Friendly for Hiring Managers: Admins may face a learning curve, but many reviewers find day-to-day use intuitive for recruiters and hiring managers. They like the clean layout, pipeline visibility, and how easy it is to submit feedback or move candidates through stages.
- Rich Integration Ecosystem: Customers appreciate that Greenhouse connects with job boards, assessments, HRIS, calendar tools, and more. This cuts down on duplicate data entry and centralises candidate information and activity in one system.
- Good Automation for Repetitive Tasks: Stage automations, bulk actions, auto-reject questions, and candidate communications help recruiters manage higher volumes without losing control. Reviewers note these automations save time and reduce manual busywork.
- Responsive Support (Especially on Higher Tiers): Many users praise Greenhouse’s live chat and customer success teams for quick responses and proactive guidance during rollout and optimisation.
Cons of Greenhouse
These are the top limitations of Greenhouse, reported repeatedly by users:
- Steep Learning Curve and Complex Setup: Admins and newer users frequently mention that Greenhouse can be hard to configure and non‑intuitive at first. Building templates, permissions, and reports often demands a “super user,” which can be tough for smaller teams.
- Reporting is Not Flexible or Easy: Users reported that reporting feels limited to preset options. They often need to export data to Excel or Sheets for proper analysis. Creating custom reports or dashboards can be confusing and time-consuming for non-experts.
- Premium Pricing: Multiple users describe Greenhouse as one of the more expensive ATS options, often out of reach for small or early‑stage companies, especially when factoring in add‑ons and implementation.
- Limited Customization in Some Areas: Some customers feel constrained by how far they can customize reports, fields, dashboards, or permissions. They expect more flexibility for the price and market position Greenhouse holds.
- Candidate Search and Database Mining Fall Short: Recruiters often complain that searching past applicants or talent pools inside Greenhouse is clunky or limited. This makes rediscovering strong candidates harder, pushing teams back to LinkedIn or other tools.
- Occasional Performance Issues and UI Friction: A subset of users reports slow page loading, high click‑count to perform basic actions, or difficulty finding specific configuration settings, which adds friction when working at scale.
How Integrating Skima AI Can Handle Greenhouse Cons?
Skima AI is built to sit inside Greenhouse, not replace it. The integration connects via Greenhouse’s Harvest API and optional webhooks, then writes AI insights directly onto each application record.
Recruiters see a Match Score (0–100), concise “reasons” bullets, and a “Skima Screened” tag right in Greenhouse. Hiring managers get a top‑10 shortlist they can approve or skip, with feedback written back as activity notes or fields for a clear audit trail.
That means:
- Weak internal search and rediscovery in Greenhouse are offset by Skima’s AI search across your historical database, surfacing qualified past candidates with explanations.
- Manual resume screening and prioritization are reduced because every new applicant is scored on arrival and continuously re-ranked.
- Collaboration friction is lowered as managers work from shared shortlists instead of spreadsheets and long email threads, with all feedback stored in Greenhouse.
In short, Skima AI plugs into Greenhouse’s existing workflows to add explainable AI matching, rediscovery, and manager collaboration. Best of all, it doesn't require your team to switch systems.
Who Should Consider Greenhouse?
Greenhouse is a strong fit for:
- Mid-market and enterprise teams that need structured hiring and governance.
- Companies with complex hiring processes require scorecards and interviewer calibration.
- Teams are planning a scalable tech stack that will use multiple integrations and HR systems.
- Organizations focused on DE&I and structured evaluations that want audit trails and consistent rubrics.
Who Should Avoid Greenhouse?
Greenhouse may not be the best choice for:
- Teams that need heavy custom reports immediately and lack admin resources—Greenhouse can require setup time.
- Very small startups with simple hiring needs that want an inexpensive, plug-and-play ATS.
- Hiring teams that want an embedded, best-in-class sourcing search without a supplementary AI search tool.
Final Verdict
Greenhouse stands out as a powerful, enterprise-ready ATS. It brings structured hiring, strong collaboration, automation, and robust reporting. It is ideal for growing companies with regular hiring needs.
However, its rigidity, cost, and limited search/report customization mean it may not suit small or resource-constrained teams.
That said, integrating Skima AI with Greenhouse can fill many of these gaps. Skima AI adds intelligent search, enhanced analytics, and dynamic workflow flexibility that make Greenhouse a more complete, future-ready hiring platform.
Frequently Asked Questions
1. What is Greenhouse?
Greenhouse is an enterprise applicant tracking system (ATS) that centralizes job postings, candidate pipelines, interview scheduling, feedback, and analytics to standardize hiring and improve collaboration across recruiting teams.
2. How much does Greenhouse cost?
Greenhouse pricing varies by company size, modules, and contract. It doesn’t publish fixed rates; expect annual costs starting in the low thousands for smaller teams and significantly higher for enterprise deployments.
3. Can Greenhouse integrate with other HR tools?
Yes, Greenhouse integrates with job boards, sourcing platforms, HRIS, background checks, calendar providers, and collaboration tools via native connectors and an open API, enabling centralized hiring workflows and data synchronization.
4. Is Greenhouse suitable for small startups?
Greenhouse suits growing teams that hire frequently. Small startups with infrequent hires or tight budgets may find it costly and feature-heavy; evaluate hiring volume, required features, and budget before committing.
5. Can Greenhouse integrate with Skima AI?
Greenhouse integrates with Skima AI using APIs or connectors to provide semantic resume search, AI shortlist recommendations, automated outreach, and better analytics. So, it speeds up screening and boosts candidate-match accuracy.
