The problem

A staffing and consulting company doing $XM+ ARR was manually handling their end-to-end recruitment pipeline. Candidate info was super chaotic and scattered across spreadsheets, manual job description parsing, email/LinkedIn outreach with no cohesive system to track pipeline stages. As a result, the team was drowning in busywork instead of closing deals.

What I built

A fully automated system that handles the entire staffing workflow:

Scrape job info w/ AI

Built a straightforward AI scraper on Airtable that extracts requirements, qualifications, and keywords from job descriptions automatically. No more copying and pasting into spreadsheets.

Source candidates automatically

Integrated Metaview and Juicebox for automatic candidate sourcing. When a new role comes in, AI generates the key words to search for and automatically provides an optimal search query to run when looking for candidates.

Drafts emails for outreach

AI generates personalized tailored outreach messages based on each candidate's profile, their experience, skills, and career trajectory.

Automated email outreach

Candidates get personalized outreach emails triggered automatically based on role fit. Next todo: sequences to handle follow-ups without manual intervention.

TODO: Improve with LinkedIn outreach

Parallel LinkedIn sequences should run alongside email. In an ideal scenario, connection requests and follow-up messages is automated while staying within platform limits.

Airtable as the hub

Everything flows through Airtable as the central database - candidates, roles, pipeline stages, communications. One source of truth instead of scattered docs.

The result

Went from complete disorganization to a proper, scalable system. The team can now spend time on high-value activities like closing new clients, relationship building with hiring managers.