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Context + Lever

Transform recruiting pipelines and talent acquisition intelligence into persistent organizational knowledge

Lever is the talent acquisition suite that combines ATS and CRM capabilities into a single platform, enabling recruiting teams to build relationships with candidates while managing structured hiring pipelines. For enterprises operating in competitive talent markets -- defense contractors recruiting cleared engineers, deep tech companies hiring specialized researchers, or regulated industries requiring compliance-aware hiring -- Lever captures the institutional recruiting knowledge that determines whether an organization can scale its workforce to meet program demands. The sourcing strategies, nurture campaigns, interview calibration notes, and pipeline velocity data embedded in Lever represent years of accumulated talent acquisition intelligence.

Context connects to Lever and indexes the recruiting knowledge layer that powers workforce planning across your organization. It captures opportunity records, pipeline stages, feedback forms, requisition metadata, sourcing attribution, and hiring workflow configurations -- then connects them to organizational context from your other tools. When a recruiter is staffing a new classified program, Context surfaces historical patterns: which sourcing channels produced the strongest cleared candidates, how pipeline velocity varied by role type, what feedback criteria correlated with successful hires, and which hiring managers maintained the most efficient interview loops.

For organizations where recruiting data intersects with sensitive programs, Lever pipeline information must remain within controlled boundaries. Context deploys entirely on your infrastructure, ensuring that recruiting workflows, candidate pipeline data, and hiring analytics never leave your security perimeter. The connector indexes process-level metadata and aggregated analytics by default, with granular controls over which data types are captured.

Key Capabilities

  • 01Opportunity and pipeline indexing -- capture recruiting opportunities, pipeline stages, archive reasons, and stage progression timing to build institutional hiring knowledge
  • 02Feedback and scorecard analysis -- index interview feedback forms, evaluation criteria, and panel recommendations to identify patterns in hiring decisions across roles and departments
  • 03Sourcing channel attribution -- track which sourcing channels, nurture campaigns, and referral programs produce the highest-quality candidates for specific role types
  • 04Requisition and headcount tracking -- index open requisitions, approval workflows, and headcount plans to connect recruiting activity to workforce planning goals
  • 05Cross-tool talent pipeline visibility -- link Lever opportunities to BambooHR org structures, Slack hiring channels, and Jira capacity planning for end-to-end workforce intelligence

Use Cases

Talent Pipeline Intelligence for Cleared Roles

A defense contractor needs to staff 25 cleared systems engineers for a new contract vehicle. Context connects Lever historical recruiting data to organizational context. The talent lead queries 'show me sourcing channel effectiveness and average time-to-fill for TS/SCI-cleared engineering roles in the last 24 months' and receives actionable intelligence: which channels produced cleared candidates, how long each pipeline stage typically takes for cleared roles, and which recruiters have the highest conversion rates for similar positions. This replaces anecdotal recruiting with data-driven talent strategy.

Interview Calibration Across Hiring Teams

A growing deep tech company notices inconsistent hiring bar across teams. Context indexes Lever feedback forms and evaluation scores across all departments. The VP of People queries 'compare interview feedback patterns and offer rates across engineering hiring committees' and identifies that some panels consistently score higher, some evaluation criteria are interpreted differently across teams, and certain feedback patterns predict long-term retention. This enables calibration sessions grounded in data rather than opinions.

Recruiting Capacity Planning

A program director needs to understand whether the recruiting team can support the hiring demands of three simultaneous program ramps. Context connects Lever pipeline data to headcount plans and project timelines. The query 'show me current recruiter workload, open requisitions by program, and average pipeline health scores' produces a unified view of recruiting capacity versus demand, enabling proactive decisions about recruiting team expansion or agency augmentation.

How It Works

SOURCELeverGreenhouseBambooHRWorkdayPROCESSINGContext EnginePROCESSINGKnowledge GraphOUTPUTAnswers

Security & Compliance

SOC 2 Type IISOC 2 Type IIGDPRGDPRHIPAAHIPAAISO 27001ISO 27001

Deployment Options

DEPLOYMENT ARCHITECTURE

YOUR INFRASTRUCTUREOn-PremiseK3s / K8s / Bare MetalAPI ServerKnowledge GraphLLM (Ollama)PostgreSQLYour VPCAWS / Azure / GCPEKS ClusterKnowledge GraphKubeAI (GPU)S3 / BlobKARPENTER: GPU SCALE-TO-ZEROAir-GappedNo Internet RequiredAPI ServerKnowledge GraphOllama / MLXLocal StorageYOUR DATA NEVER LEAVES YOUR INFRASTRUCTURE

Frequently Asked Questions

Does Context index individual candidate resumes or personal information from Lever?

By default, no. Context indexes recruiting process data -- opportunity metadata, pipeline stages, feedback criteria, sourcing attribution, and aggregated hiring metrics -- without capturing individual candidate PII. Candidate-level indexing can be enabled for authorized HR users with appropriate access controls. All data remains on your infrastructure regardless of configuration.

How does Context handle Lever's combined ATS and CRM data?

Context indexes both ATS pipeline data (active opportunities, interview stages, feedback) and CRM nurture data (sourcing campaigns, talent pools, engagement history) as distinct but connected entities in the knowledge graph. This enables queries that span the full recruiting lifecycle, from initial sourcing through offer acceptance.

Can Context connect Lever recruiting data to HRIS systems?

Yes. Context links Lever opportunities and hiring outcomes to organizational data in BambooHR, Workday, or Gusto. When a hire transitions from Lever to the HRIS, Context connects the full recruiting journey to onboarding activity and team assignment, enabling end-to-end workforce analytics.

How does Context handle multiple Lever environments?

For organizations running separate Lever environments for different business units or classification levels, Context connects to each independently with separate credentials and access controls. Users only see recruiting data from environments they are authorized to access.

How often does Context sync data from Lever?

Context polls Lever on a configurable interval, typically every 1-4 hours. New opportunities, stage transitions, and feedback submissions are captured during each sync cycle. Lever webhook integration is also supported for near-real-time updates on critical events like new requisitions or offer decisions.

Setup Overview

Install the Context Lever connector using Helm or deploy it on bare metal. Generate a Lever API key with read access to opportunities, requisitions, and feedback data. Configure which data types to index -- most deployments include opportunity metadata, pipeline stages, feedback criteria, and sourcing attribution while excluding individual candidate PII. Optionally configure team or department 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 complete initial indexing within an hour.

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