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Largely and Greenhouse Integration: Employee Video Touchpoints for Better Candidate Experience

Titus Juenemann April 5, 2024

TL;DR

The Largely–Greenhouse integration streamlines the addition of employee-generated video and branded touchpoints to your Greenhouse job listings and candidate communications, enabling better candidate engagement, clearer role context, and more consistent onboarding and interview experiences. Key benefits include job-level overlays, a CMS for sourcing and approving employee content, touchpoint pages for targeted communications, and analytics to measure view time and CTR. Organizations should follow a mapped implementation workflow, apply governance and permissions, and track funnel metrics to demonstrate ROI. In conclusion, combining Largely’s content capabilities with operational controls in Greenhouse helps recruiting teams create scalable, measurable candidate experiences — and pairing that with tools like ZYTHR for AI resume screening accelerates review time and improves hiring accuracy.

Largely is a talent marketing platform that integrates directly with Greenhouse ATS to surface employee-generated video and other media inside job listings, touchpoint pages, and candidate communications. The integration maps jobs from Greenhouse to Largely so you can deploy branded overlays, embed team videos into job descriptions, and deliver consistent multimedia experiences across the hiring funnel. This article explains what the Largely–Greenhouse integration actually does, which hiring and talent teams benefit most, and the concrete operational and measurement benefits you can expect. It also covers implementation steps, governance considerations, and practical best practices for sourcing and using employee content at scale.

Core features delivered by the Largely–Greenhouse integration

  • Job-level overlays and embeds Automatically attach branded overlays and employee videos to Greenhouse job descriptions so candidates see people-first content next to role details.
  • Centralized content management Crowdsource, review, tag, and store employee video, text, and image submissions in Largely’s CMS for easy reuse.
  • Touchpoint pages Create custom landing pages for interview reminders, offer communications, onboarding modules, and candidate nurture campaigns.
  • Social posting workflow Post content to LinkedIn through employee accounts with an approval workflow that asks employees to confirm before a post publishes.
  • Analytics and engagement metrics Track content engagement, view time, and CTR for jobs, touchpoint pages, and social posts to measure impact.
  • Downloadable assets Export video files for use in paid social recruiting campaigns and other channels outside the platform.

Who needs Largely + Greenhouse? Organizations that rely on employer brand and candidate experience to attract talent — especially those hiring at scale or for hard-to-fill technical roles — gain the most. Recruiting marketing teams, employer brand leads, and campus or volume hiring teams benefit because Largely reduces friction in surfacing authentic employee stories. Smaller companies can use Largely to professionalize candidate touchpoints; mid-market and enterprise organizations use it to standardize content sourcing and distribution across many roles and regions (supported regions include North America and EMEA). The solution scales from 101–1,000 headcount up to 10,000+ with no partner implementation fee.

ZYTHR for Greenhouse – Featured Section
ZYTHR - Your Screening Assistant

AI resume screener for Greenhouse

ZYTHR scores every applicant automatically and surfaces the strongest candidates based on your criteria.

  • Automatically screens every inbound applicant.
  • See clear scores and reasons for each candidate.
  • Supports recruiter judgment instead of replacing it.
  • Creates a shortlist so teams spend time where it matters.
ZYTHR - AI resume screener for Greenhouse ATS
Name Score Stage
Oliver Elderberry
9
Recruiter Screen
Isabella Honeydew
8
Recruiter Screen
Cher Cherry
7
Recruiter Screen
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4
Not a fit
Emma Banana
3
Not a fit
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2
Not a fit

Feature-to-benefit mapping (practical outcomes)

Largely Feature Practical benefit for Greenhouse users
Job overlays & embedded videos Increases candidate time-on-page, gives clearer role context, lowers drop-off from job description to application.
CMS with prompts and approvals Reduces administrative friction for content collection and ensures brand-aligned messaging across roles.
Touchpoint pages for reminders and onboarding Improves candidate communication consistency and shortens time-to-productivity for new hires.
Social posting and employee approvals Amplifies reach of open roles while maintaining employee control and compliance for external posts.
Analytics (view time, CTR, engagement) Enables data-driven optimization of which content performs best by role or source.

Top 6 use cases for combining Largely with Greenhouse

  • Active job advertising Embed a hiring manager or team video in job descriptions to increase conversions from views to applications.
  • Interview preparation Send candidates a touchpoint page with videos from the interview panel to reduce anxiety and no-shows.
  • Offer communication Deliver an offer page featuring the hiring leader explaining the role and next steps to improve acceptance clarity.
  • Onboarding micro-content Use touchpoint pages to host short orientation videos that new hires can watch before day one.
  • Social recruiting Share employee videos to LinkedIn via the built-in posting workflow to increase organic reach and credibility.
  • Employer brand testing A/B test different video styles or spokespersons to identify what resonates with specific candidate segments.

Integration workflow: a practical sequence to get started. 1) Map your job feed from Greenhouse into Largely so jobs are identifiable; 2) Create content prompts and invite employees to submit videos; 3) Tag and approve submissions in the Largely CMS; 4) Assign videos to specific jobs or touchpoints and configure overlays and CTA buttons; 5) Enable social posting and set up approval workflows for employee accounts; 6) Monitor analytics and iterate. This workflow minimizes manual copy-paste tasks and keeps assets synchronized with your active requisitions in Greenhouse, which avoids outdated content and reduces the operational load on recruiters.

Common questions about Largely + Greenhouse integration

Q: Does Largely require native Greenhouse access or an API?

A: Largely integrates with your Greenhouse jobs feed; setup typically uses an API or job feed mapping so job metadata and URLs stay in sync. Your Greenhouse admin grants the necessary access during implementation.

Q: Can videos be localized for different regions?

A: Yes — the CMS allows tagging and filtering by region so you can surface region-appropriate content for EMEA vs North America requisitions.

Q: Is there an extra implementation fee?

A: According to the integration notes, there is no partner implementation fee for the Largely–Greenhouse connection, though professional services for custom setups may be optional.

Q: What analytics are available?

A: Largely reports content engagement, average view time, and click-through rates for jobs, touchpoint pages, and social posts so you can quantify content performance.

Measuring ROI: what to track and how to attribute impact. Prioritize metrics that tie to hiring funnel efficiency: job page CTR to apply, application completion rate after video exposure, time-to-hire for roles with embedded content, and candidate no-show rates for interviews with touchpoint pages. Use Greenhouse data exports combined with Largely engagement reports to create cohort analyses (e.g., hires from jobs with video vs. without). A practical short-term goal is to reduce job page drop-off and interview no-shows; medium-term goals include improved offer acceptance clarity and reduced early churn through better onboarding content.

Best practices for sourcing employee content

  • Create focused prompts Ask employees to answer one or two role-specific questions in 30–90 seconds to keep videos concise and comparable.
  • Provide simple recording tools Offer mobile-friendly recording flows and templates so contributors can submit polished content without studio equipment.
  • Implement a quick review and metadata process Tag submissions by role, language, and region and include an approval step to ensure brand consistency.
  • Rotate featured content Refresh job-level videos periodically to avoid stale messaging and to test new creative approaches.

Security, governance, and permissions considerations. Maintain a clear approval workflow and audit trail for employee submissions and external posting. Limit social posting to approved admins and require employee consent before posting on their behalf — Largely’s workflow supports this. Ensure that access to job overlays and touchpoint editing is restricted to recruiting marketing owners, and integrate with your org’s content retention and privacy policies (Largely publishes a privacy policy and adheres to platform data controls).

Implementation checklist before go-live

  • Map job feed fields Ensure Greenhouse requisition IDs, titles, and locations match Largely metadata.
  • Create content prompts and brand templates Define the short video scripts, CTA buttons, and overlay styles.
  • Set approval and posting policies Define who can approve content and which employees may be used for social posting.
  • Test on a small set of live jobs Validate candidate experience, load times, and analytics collection for a representative sample.
  • Train recruiters and brand team Provide quick reference guides on assigning videos, creating touchpoint pages, and interpreting engagement reports.

Troubleshooting and support paths. Common issues during rollout include mismatched job mapping, slow page load from large video files, and approval bottlenecks. Resolve mapping issues by validating requisition IDs and synchronizing status fields; reduce load time by using optimized video formats and serving videos via CDN; address approval delays by setting SLAs and delegating approvers. For platform-specific questions consult Largely’s support and privacy documentation and Greenhouse support pages; developer resources exist for custom integrations.

Speed up screening and improve resume accuracy with ZYTHR

While Largely enriches candidate experience and job content inside Greenhouse, your hiring process also needs faster, more accurate resume screening. ZYTHR uses AI to screen resumes at scale, prioritize top matches, and reduce manual review time — helping you convert increased candidate interest from Largely into higher-quality pipelines faster. Book a ZYTHR demo to see how automated resume screening complements your Largely + Greenhouse setup and improves time-to-hire.