Lever Hiring Data Integration | Recruitment Analytics
Connect Lever Hiring and let AI agents query candidate pipelines, time-to-hire, and recruiter performance alongside marketing attribution data.
Key Takeaways Connect Lever Hiring via secure API integration
Improvado connects directly to Lever Hiring's API to extract candidate pipeline data, hiring metrics, and recruiter performance statistics. The platform automatically pulls data on application volumes, time-to-hire, source effectiveness, and interview feedback scores. Data refreshes run on customizable schedules, from hourly updates to daily syncs. No manual CSV exports or complex API management required.
Unified recruiting data across all platforms
Improvado's Marketing Common Data Model (MCDM) normalizes Lever Hiring data alongside your marketing attribution and revenue metrics. Candidate source tracking aligns with marketing channel performance data from Google Ads, LinkedIn, and job boards. This unified approach reveals which marketing campaigns drive the highest-quality candidates. Teams can analyze cost-per-hire alongside customer acquisition costs in a single dashboard.
Data objects and fields Improvado extracts from Lever Hiring
| Object | Fields |
|---|---|
| Job Posting | title status location department created_at |
| Application | candidate_id stage source applied_at archived_reason |
| Candidate | name email phone resume_url tags |
| Interview | interviewer_id stage feedback duration scheduled_at |
| Offer | status salary start_date created_at signed_at |
From connection to autonomous action in three steps
Connect
Connect your Lever account via OAuth. The agent syncs candidate pipelines, interview stages, offer data, and hiring manager assignments in real-time.
Ask
Ask questions like 'Which roles have the longest time-to-offer?' or 'Show me drop-off rates by interview stage for engineering candidates.'
Act
The agent moves candidates between stages, updates candidate tags, assigns interviewers to open slots, and triggers automated follow-up sequences based on pipeline velocity thresholds.
What teams ask their AI agent about Lever Hiring
Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.
Track candidate sources from marketing campaigns to final hire decisions across channels
Your AI agent analyzes Lever Hiring data and delivers actionable insights — automatically, in seconds.
Calculate recruiting ROI by connecting job board spend with hire quality metrics
Your AI agent analyzes Lever Hiring data and delivers actionable insights — automatically, in seconds.
Build executive dashboards showing hiring velocity against revenue growth targets
Your AI agent analyzes Lever Hiring data and delivers actionable insights — automatically, in seconds.
Your agent doesn't just read Lever — it calculates cost-per-hire by source
Read
Reads candidate applications, interview stage progression, offer acceptance rates, time-to-hire metrics, requisition status, interviewer feedback scores, and source attribution data.
Write
Writes stage transitions for candidates, updates candidate tags and custom fields, assigns interview panels, schedules follow-up tasks, and modifies requisition status based on pipeline health.
Monitor
Monitors stage conversion rates, time-in-stage thresholds, interviewer utilization, offer acceptance trends, and pipeline velocity by department to flag bottlenecks and recommend process improvements.
AI agents query application volumes, interview-to-hire ratios, and source effectiveness from Lever Hiring. They calculate recruiting ROI by connecting job board spend with hire quality scores and time-to-fill metrics. Agents identify which candidate sources produce the fastest hires and correlate hiring velocity with revenue growth targets.
| Department | Open Roles | Avg. Time-to-Hire |
|---|---|---|
| Engineering | 12 roles | 43 days |
| Product | 4 roles | 29 days |
| Sales | 8 roles | 22 days |
| Customer Success | 5 roles | 26 days |
| Operations | 3 roles | 19 days |
Send Lever Hiring data anywhere
Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.
They extract data. Improvado deploys an agent.
Traditional tools move data from A to B. Improvado gives you an AI agent that reads, acts, and monitors — with Lever Hiring as one of 1,000+ integrated sources.
| Feature | Improvado | Supermetrics | Funnel.io | Fivetran |
|---|---|---|---|---|
| Data fields extracted | 200+ | ~90 | ~120 | ~80 |
| Total integrations | 1,000+ | ~150 | ~500 | ~300 |
| Cross-channel normalization (CDM) | ✓ Built-in | ✗ Manual | ● Basic mapping | ✗ Raw only |
| AI Agent access (MCP) | ✓ Read, Write, Monitor | ✗ | ✗ | ✗ |
| Data warehouse destinations | ✓ 16+ warehouses & BI tools | Sheets, Looker, BigQuery | BigQuery, Snowflake, Redshift | ✓ Broad warehouse support |
| Refresh frequency | Every 15 min | Scheduled triggers | Daily / 6hr | Every 15 min (premium) |
| SOC 2 Type II & HIPAA | ✓ | ✗ SOC 2 only | ✓ SOC 2 | ✓ |
| Best for | Teams that want an AI agent, not a pipeline | Small teams, spreadsheets | Mid-market, data teams | Engineering-led ELT pipelines |
Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.
Frequently asked questions
What Lever Hiring data can Improvado extract?
How often does Lever Hiring data sync with my warehouse?
Can I connect Lever Hiring data with marketing attribution?
Which destinations support Lever Hiring data integration?
Does the integration require technical setup from our team?
How does Improvado handle Lever Hiring API rate limits?
"Improvado saves about 90 hours per week and allows us to focus on data analysis."
"Improvado's reporting tool effortlessly integrates all our marketing data so we can easily track users across their entire digital journey. This saves me and my team countless hours."
Put an AI agent on your Lever Hiring today
Connect in under 5 minutes. Your agent starts reading, acting, and monitoring immediately.