Your Recruiting Pipeline Has 240 Candidates and Six Moved Stage Last Week

It is Monday, 9:04 AM. Your Head of Talent opens Greenhouse before the hiring-manager roundtable. 240 candidates in-pipeline across 11 open reqs. Six moved stage last week. 94 sitting past 21 days with no activity. The newest hire closed 54 days after req open against a target of 32. The last offer accepted was 11 days ago, a Series B account exec who no-showed the first day because the signing bonus payment timed out at the payroll provider.

She opens the req board. Four engineering reqs, three go-to-market, two finance, one legal, one design. The senior recruiter owns the engineering stack. The agency owns one go-to-market req on a 22 percent fee. The coordinator schedules every onsite. The hiring managers rate scorecards on Thursday if the coordinator sends two reminders. The ATS reports a 14 percent application-to-screen rate against a benchmark closer to 28 percent for a company this size. The LinkedIn Recruiter seat log reads 142 InMails sent last week with a 7 percent reply rate.

Pull the quarter. 1,820 applications across 11 reqs. 940 screened by the recruiter. 240 moved to hiring-manager review. 94 scorecards returned on time. 42 onsites scheduled. 14 offers extended. Six accepted. Two signing-bonus failures and one background-check timeout. The CFO reads a $340K unspent headcount budget in Q3. The CEO reads the hiring plan in the Monday staff deck and marks the engineering backfill red for the eleventh week.

Recruiting pipeline operations is a function. Most Series B and C talent teams staffed it with a Head of Talent who owns the plan, a senior recruiter who owns sourcing on four reqs, a coordinator who owns scheduling, a sourcer on a six-month contract, and a hiring manager per req who owns the scorecard. The function lives in the gap between the ATS that stores the candidate, the inbox that holds the scheduler reply, the Slack channel where the hiring manager types feedback, and the DocuSign that holds the offer. On the org chart it reads People. In practice it reads a Greenhouse scorecard with four blank rows.

The 94-stale-candidate math

Pull every candidate in-pipeline on day one of the quarter. Log the req, the stage, the owner, the date entered stage, the last recruiter touch, the last hiring-manager touch, and the scorecard count. Count candidates sitting past 14 days with no activity. Count candidates where the recruiter touched the file but the hiring manager never opened it. Count candidates rejected after 21 days with a one-line reason that reads "not a fit." Most Series B talent teams past 11 open reqs find 30 to 50 percent of in-pipeline candidates sitting past 14 days, 20 to 35 percent of scorecards unreturned past 7 days, and 15 to 25 percent of final-round candidates ghosted on offer because the follow-up cadence broke.

Walk one candidate. The Series B account exec applied on day four, screened on day six, moved to hiring-manager review on day eight. The hiring manager opened the file on day fourteen, rated the resume strong, asked the coordinator for a Thursday slot. The coordinator sent three Calendly links, the candidate replied Monday, the hiring manager was in Tokyo. The onsite scheduled day twenty-two. The scorecards returned day thirty-one. The offer went out day thirty-three. The candidate accepted day thirty-four. The signing-bonus payment failed day thirty-five because the payroll provider required a tax form the ops lead did not know existed. The candidate took the competing offer day thirty-seven.

The team that should own this knows it is broken. The Head of Talent reports time-to-fill in the Thursday staff meeting. The senior recruiter chases scorecards in Slack every afternoon. The coordinator sends 42 Calendly links a week and gets 14 replies. The hiring managers rate the scorecard the night before the Thursday roundtable. The CFO reads the open headcount report and asks why Q3 ran $340K under plan. The 94-stale-candidate backlog is the question nobody charged against a cadence outside the Thursday roundtable itself.

Why Greenhouse and Gem do not answer a question

You bought Greenhouse or Ashby at $18K to $62K a year for the ATS. You bought Gem or hireEZ at $14K to $34K a year for the sourcing layer. You bought LinkedIn Recruiter at $11K to $14K a seat for the InMail pipeline. You bought Metaview or BrightHire at $12K to $28K a year for the interview intelligence. Greenhouse stores the candidate the recruiter adds. Gem scrapes the LinkedIn profile the sourcer saves. Metaview records the Zoom call. None of them read Monday's 94-stale-candidate list, score each file against the open req's scorecard rubric, draft the hiring-manager nudge in the ATS comment thread, draft the candidate re-engagement message in the recruiter voice, and route the four candidates ready for a decision to the roundtable deck.

Greenhouse reports the Series B account exec sat in stage for 11 days. It does not know the hiring manager was in Tokyo and the Calendly round broke. Gem reports the InMail reply rate at 7 percent. It does not score which three templates in the library are tanking the rate. LinkedIn Recruiter ranks the 142 saved profiles. It does not read the scorecard rubric and tell the sourcer the four profiles out of 142 that clear the floor. Metaview transcribes the onsite. It does not score the transcript against the rubric and flag the two conflicts in the scorecards the hiring managers are about to submit. The ATS is an ATS. The sourcing tool is a sourcing tool. Neither is a function.

What a fractional AI recruiting function does

Hand the Greenhouse pipeline, the Gem sourcing history, the LinkedIn Recruiter seat log, the Metaview interview transcripts, the DocuSign offer archive, the hiring-manager Slack feedback threads, the scorecard rubrics, the compensation band library, and the quarterly hiring plan to a fractional AI agent. The agent does the work a senior recruiter, a sourcer, and a recruiting coordinator would do together. The cadence is per-application on screening, per-day on pipeline-stall detection, per-week on the hiring-manager digest, per-onsite on scorecard drafting, and per-quarter on the rubric audit.

Every applicant screened against the rubric inside two hours of apply. The Series B account exec applies Tuesday at 11:04 AM. By 1:00 PM the agent has read the resume against the rubric, scored the four must-haves, drafted the three screening-call questions tied to the two weakest signals, logged the pass-forward in Greenhouse, and queued the recruiter outreach with a compensation range inside band. The recruiter opens the queue Wednesday with 11 pre-screened candidates instead of 94 raw applications.

Every stalled candidate flagged with the next action pre-drafted. The 94 candidates sitting past 14 days get clustered by stall reason on Monday morning. 42 are waiting on hiring-manager scorecards with the nudge drafted in the recruiter voice. 22 are waiting on the coordinator for a reschedule with the three alternate slots pulled off the hiring-manager calendar. 11 are waiting on a reference check with the ask drafted in the candidate's email. The Head of Talent reads one list and clears 68 stalls in the Monday standup.

Every scorecard drafted off the interview transcript inside 30 minutes. The hiring manager closes the Zoom onsite at 2:14 PM. By 2:45 the agent has read the Metaview transcript against the rubric, drafted the scorecard with evidence quoted per attribute, flagged the two conflicts against the first-round rubric, and routed the draft to the hiring manager for a 10-minute review. The scorecard submits by end of day. The Thursday roundtable reads a complete deck.

Every offer sanity-checked against band and payroll inside the hour. The offer drafts Tuesday at 4:00 PM. By 5:00 the agent has scored the base against the band, flagged the signing bonus against the three payroll-provider failure modes from the last six quarters, drafted the tax-form packet the ops lead needs to pre-stage, and routed the sanity check to the Head of Talent. The signing bonus clears without the day-thirty-five failure.

The unit economics of a 54-day time-to-fill

A Series B at $14M ARR running an 11-req pipeline with a 54-day average time-to-fill is burning three lines. The senior recruiter, coordinator, sourcer, and Head of Talent clear 28 to 44 hours a week on screening, scheduling nudges, scorecard chasing, and candidate re-engagement against a loaded hour of $70 to $140. That is $14K to $28K a month of senior talent time on queue management the agent clears to a 10-minute recruiter review. The team gets 11 to 18 hours a week back on the four finalist conversations that compound offer-accept rates.

The agency line is the second. Pulling time-to-fill from 54 days to 28 days clears five to seven reqs a quarter the hiring plan currently routes to an agency on a 22 percent fee. On a $160K base engineering hire the fee is $35K. Clearing five of seven in-house saves $140K to $200K a quarter. On the 11-req plan running annualized, the agency-fee line clears into the mid six figures with the ongoing cost of the agent and the fractional operator a small fraction of the swing.

The hiring-plan line is the third. Pulling the $340K Q3 unspent budget into Q4 means the engineering backfill ships before the roadmap slips and the Series B account exec starts in month ten instead of month fourteen. On a quota-carrying AE at $220K OTE closing $1.4M in the first full year, four months of ramp lost on a hiring stall is $460K of ARR the forecast carries into the next fiscal year. The talent function is the single lever on the growth line the Head of Talent controls without a product change.

A 14-day sprint to stand up the agent runs in the low to mid five figures. Ongoing cost lands at $4K to $8K a month on API spend, Greenhouse and LinkedIn Recruiter read access, and tooling plus a fractional talent operator at $5K to $9K a month who owns the Monday stall review and the quarterly rubric audit. Applicant screening and stall detection ship in week one. Scorecard drafting and offer sanity checks ship in week two. The 94-stale-candidate backlog clears inside the first full week of the sprint.

What changes after the sprint

Picture the same Monday, 9:04 AM moment, two months after the sprint ships. Your Head of Talent opens Greenhouse. 142 candidates in-pipeline across 11 open reqs. 68 moved stage last week. 14 sitting past 14 days with the next action pre-drafted on each file. The newest hire closed 24 days after req open. The last offer accepted was 2 days ago, a staff engineer with the signing bonus pre-cleared against the payroll provider on the Friday the offer drafted.

By Thursday the Head of Talent reads a hiring-manager digest that names the four scorecards still owing, the three reqs where the rubric produced zero finalist candidates against the current comp band, and the two reqs where the band needs a $14K to $22K revision to clear the market. The CFO reads a weekly spend digest that names the four reqs cleared in-house and the $140K agency fee avoided. The hiring managers rate scorecards on time because the draft lands in their Slack 30 minutes after the Zoom closes.

If your pipeline currently reads 240 candidates with six moving stage last week and 94 sitting past 21 days, the version where every applicant screens inside two hours and every stall carries a pre-drafted next action is fourteen days away. Recruiting pipeline operations is a function. You can hire a dedicated talent ops lead, you can expand the fractional recruiting retainer, or you can scope a sprint and have it running before the next hiring-manager roundtable. The work is the same. The pipeline is not.