LinkedIn Hiring Lead Enricher — emails verified + buying committee inferred
Takes the partial hiring contacts a scraper produces and turns them into a sequenceable pipeline: verified emails for every lead, plus inferred buying committees for the hiring companies where LinkedIn returned no hiring team. Hourly cron. Pair upstream with a hiring-signal scraper, downstream with a sequencer.
The outcomes on their scorecard
people_email_finder waterfalls Hunter → Prospeo → LeadMagic on a single call. people_email_verifier gates on `deliverable`. You pay one credit per lead instead of stacking 3 vendor subscriptions.
When a job post has no hiring team, people_search finds C-suite, VPs, directors, and founders in sales / marketing / BD at the company. Each is classified by title — only decision_maker and function_owner roles get inserted.
Up to 50 leads in Job A + 10 job_posts in Job B per run. Atomic claim (UPDATE to in_progress) means concurrent runs never double-process. Predictable cost per hour.
This agent writes to the workspace DB only. The downstream sequencer (e.g. gtm-email-sequencer) picks up verified rows. Separation of concerns: enrichment and activation are different agents.
How the work gets done
Hiring scrapers produce contacts that are almost-but-not-quite ready for outreach: profile URLs without verified emails, and a non-trivial fraction of job posts where LinkedIn's Get_Hiring_Team returns empty. This agent closes both gaps in one hourly run. Job A drains pending_enrichment leads through a multi-provider email-finder waterfall (Hunter → Prospeo → LeadMagic via the agntdata orchestrator), then verifies each email and tags the row as verified / risky / invalid. Job B handles orphaned hiring companies: for every job_post stuck in 'no_hiring_team_found', it runs people_search with seniority + department filters, classifies each result by title (decision_maker / function_owner / recruiter / other), and inserts qualifying stakeholders as new pending_enrichment leads — which Job A picks up on the next run. The buying committee is reconstructed from the ground up. Output is two state changes: lead rows go from pending_enrichment to verified; orphaned job_posts move to hiring_team_inferred. Pair with `linkedin-hiring-signal-scraper` upstream and `gtm-email-sequencer` downstream for the full motion.
The bridge between a scraper and a sequencer. Scrapers produce profile URLs without emails, and a chunk of job posts where the hiring team is hidden. This agent finishes both: a multi-vendor email waterfall on the pending leads, plus a people_search-driven inference of buying committees for orphaned jobs. By the time the data lands in the sequencer, every lead has a verified email and every hiring company has at least one decision_maker or function_owner contact.
Your new teammate
LinkedIn Hiring Lead Enricher
Hourly scheduled agent that drains pending_enrichment leads from hiring_leads with a verified email waterfall (Job A), and infers buying committees for job_posts where LinkedIn returned no hiring team (Job B). Pairs upstream with a hiring-signal scraper, downstream with an outbound sequencer. Does NOT push externally — handoff is via DB state.
What it runs on
This hire is assembled from the public toolkit. Every piece below is a tool your own agents can call too.
How setup works
- 01
Claim the hire
One click. No questionnaire. The brief is already written from your business, and you can edit it before you build if you want to.
- 02
Your hire deploys itself
Agents, tools, schedules, memory, hand-off queues and the database schema are provisioned into your workspace automatically, then the first real run fires while you watch.
- 03
Hand it the keys it still needs
You land in chat with your hire and its findings. Anything it still needs is asked for conversationally, whenever you want.
Other hires that pair well
X (Twitter) profile qualifier and enricher
Hand any X username to this agent and get back a qualified, ICP-scored lead with a verified email and a resolved LinkedIn profile.
LinkedIn profile qualifier and enricher
Hand any LinkedIn profile URL to this agent and get back a qualified, ICP-scored lead with a verified email and a website summary attached.
Outbound Research Analyst
Turn the people writing about your problem on LinkedIn — and the ones quietly liking and commenting on posts about your space, including your competitors' — into a qualified outbound pipeline: scraped daily, enriched with verified email, scored against your ICP, and added to both your LinkedIn outreach (HeyReach) and cold email (Instantly) campaigns — automatically and deduped.
Every hire is assembled from the same toolkit.
Same data sources, same database, same memory, schedules and queues. Point your own agent at the MCP endpoint and wire it your way instead.