hrContext + Greenhouse
Transform hiring pipelines and recruiting intelligence into persistent talent acquisition knowledge
OVERVIEW
Greenhouse is the structured hiring platform that powers recruiting workflows for defense contractors, deep tech companies, and regulated organizations where hiring decisions involve security clearance requirements, export control considerations, and specialized technical evaluations. In these environments, recruiting is not just about filling roles -- it is about finding candidates who can obtain or already hold appropriate clearances, who meet citizenship requirements for ITAR-controlled programs, and whose technical expertise matches the specific needs of classified or sensitive projects. The institutional knowledge embedded in Greenhouse -- which recruiting strategies work for cleared talent, what interview questions surface the right technical depth, which hiring managers provide the most useful evaluations -- is critical for scaling talent acquisition in constrained labor markets.
Context connects to Greenhouse and indexes the talent acquisition knowledge layer that informs workforce planning across your organization. It captures job requisition details, hiring pipeline stages, interview scorecards (aggregated, not individual candidate PII), role requirements, and recruiting process metadata -- then connects them to the organizational context in your other tools. When a hiring manager opens a new requisition for a cleared systems engineer, Context surfaces historical hiring data: how long similar roles took to fill, which sourcing channels produced the strongest candidates, what technical evaluation criteria correlated with successful hires, and which teams have similar open roles that could benefit from shared candidate pipelines.
For organizations hiring for classified programs, candidate information is sensitive and must be handled within controlled boundaries. Context deploys entirely on your infrastructure, ensuring that recruiting data, interview feedback, and candidate pipeline information never leave your security boundary. The connector is configurable to index only the recruiting process metadata and role requirement data your organization needs, without capturing personally identifiable candidate information unless explicitly configured for authorized HR users.
KEY CAPABILITIES
Key Capabilities
- 01Hiring pipeline analytics indexing -- capture job requisitions, pipeline stages, time-to-fill metrics, and stage conversion rates to build institutional recruiting knowledge
- 02Role requirement and scorecard indexing -- index job descriptions, required qualifications, clearance requirements, and interview scorecard criteria for consistent evaluation standards
- 03Recruiting process knowledge capture -- preserve hiring committee decisions, offer approval workflows, and sourcing channel effectiveness to improve future hiring cycles
- 04Cross-tool workforce planning -- connect Greenhouse requisitions to BambooHR organizational structures, Jira team capacity planning, and Slack hiring channels for unified workforce visibility
- 05Clearance and compliance requirement tracking -- index security clearance requirements, citizenship restrictions, and export control considerations embedded in job requisitions
USE CASES
Use Cases
Cleared Talent Acquisition Strategy
A defense contractor needs to hire 30 cleared software engineers in 6 months for a new program. Context connects Greenhouse historical hiring data to organizational context across BambooHR and Jira. The recruiting lead queries 'show me average time-to-fill and top sourcing channels for TS/SCI-cleared engineering roles in the last 18 months' and receives actionable intelligence: which job boards and referral programs produced cleared candidates, how long the clearance verification stage typically takes, and which interview panel configurations correlated with accepted offers. This data-driven approach replaces guesswork with institutional recruiting knowledge.
Interview Process Standardization Across Programs
A deep tech company with multiple classified programs needs to ensure consistent technical evaluation standards. Context indexes Greenhouse scorecard templates, interview questions, and evaluation criteria across all programs. The VP of Engineering queries 'show me all interview scorecard criteria used for senior systems engineer roles across programs' and identifies inconsistencies -- some programs evaluate for specific certifications while others do not, some include security mindset assessments while others skip them. This visibility enables standardization of evaluation criteria across the organization.
Workforce Planning with Pipeline Visibility
A program manager planning the next phase of a defense contract needs to understand when open positions will be filled to commit to delivery timelines. Context connects Greenhouse pipeline data to Jira capacity planning and project timelines. The PM queries 'show me all open requisitions for Program Sentinel with current pipeline status and estimated fill dates' and receives a unified view of recruiting progress, pipeline health, and projected start dates that directly informs program delivery commitments.
Recruiting Compliance and Audit Documentation
During an OFCCP audit, a defense contractor must demonstrate fair and consistent hiring practices across all requisitions. Context indexes Greenhouse process metadata -- pipeline stages, dispositioning reasons, time-in-stage metrics -- to produce audit-ready documentation. The compliance team queries 'show me dispositioning patterns for all engineering requisitions in the last year' and receives aggregated analytics with citations linking to specific requisition data, demonstrating process consistency without exposing individual candidate PII.
HOW IT WORKS
How It Works
DATA FLOW
SECURITY & COMPLIANCE
Security & Compliance
SOC 2 Type II
GDPR
HIPAA
ISO 27001DEPLOYMENT
Deployment Options
DEPLOYMENT ARCHITECTURE
FREQUENTLY ASKED QUESTIONS
Frequently Asked Questions
Does Context index individual candidate names, resumes, or personal information?
By default, no. Context indexes recruiting process data -- job requisitions, role requirements, pipeline stage configurations, scorecard criteria, and aggregated hiring metrics -- without capturing individual candidate PII. For organizations that want authorized HR users to search candidate-level data within the knowledge graph, candidate indexing can be enabled with appropriate access controls. All data stays on your infrastructure regardless of configuration.
How does Context handle security clearance requirements in Greenhouse requisitions?
Context indexes clearance requirements, citizenship restrictions, and other compliance-related fields from Greenhouse job requisitions as searchable attributes in the knowledge graph. This enables queries like 'show me all open requisitions requiring TS/SCI clearance' or 'how many roles require US citizenship.' These requirement fields are treated as role metadata, not candidate attributes.
Can Context connect Greenhouse hiring data to HRIS systems like BambooHR or Workday?
Yes. Context links Greenhouse requisitions and hiring outcomes to organizational data in BambooHR or Workday. When a candidate is hired and appears in the HRIS, Context connects the hiring event to the requisition that sourced them, the team they joined, and their subsequent onboarding activity across other tools. This end-to-end visibility from requisition to productive employee enables workforce planning insights.
Does Context support multiple Greenhouse instances or business units?
Yes. For organizations operating separate Greenhouse instances for different business units, subsidiaries, or classification levels, Context can connect to each instance independently. Access controls ensure users only see recruiting data from instances they are authorized to access.
How does Context handle OFCCP and EEO compliance requirements?
Context does not index EEO, demographic, or self-identification data from Greenhouse. It focuses on process and requirements data. For OFCCP audit support, Context can produce aggregated pipeline analytics -- time-in-stage, dispositioning patterns, sourcing channel distribution -- without exposing protected candidate attributes. This helps demonstrate process consistency while maintaining compliance with data handling requirements.
How often does Context sync Greenhouse data?
Context polls Greenhouse on a configurable interval, typically every 1-4 hours. New requisitions, pipeline stage changes, and scorecard submissions are captured during each sync. For high-volume recruiting periods, the interval can be shortened. Greenhouse webhook notifications can also trigger immediate syncs for critical events like new job postings or offer approvals.
SETUP OVERVIEW
Setup Overview
Install the Context Greenhouse connector using Helm or deploy it on bare metal. Generate a Greenhouse Harvest API key with read access to jobs, stages, and scorecards. Configure which data types to index -- most deployments include job requisitions, role requirements, pipeline stages, and scorecard criteria while excluding individual candidate PII. Optionally configure department or office filters to scope indexing to specific business units. Context will perform an initial sync of your recruiting data, then poll for changes on a configurable interval. Most deployments are fully indexed within an hour depending on requisition volume.
RELATED INTEGRATIONS
Related Integrations
BambooHR
Connect BambooHR to Context and transform employee records, organizational structures, and people operations data into a searchable enterprise knowledge graph. Built for HR and security teams managing workforce data in defense and regulated environments.
Workday
Connect Workday to Context and transform workforce data, organizational structures, and people operations knowledge into a searchable enterprise knowledge graph. Built for HR and security teams managing talent in defense and regulated environments.
Slack
Connect Context to Slack to surface organizational knowledge buried in conversations, threads, and channels. Permission-aware indexing with on-premise deployment.
Okta
Connect Context to Okta to surface identity governance knowledge from user directories, access policies, and authentication events. On-premise deployment with permission-aware indexing.
Jira
Connect Context to Jira to transform tickets, epics, and project history into connected organizational knowledge. Permission-aware indexing with on-premise deployment.
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