If your resume doesn't say what kind of sales work you did, LinkedIn's new recruiter agent will decide for you. Hiring Assistant 2 attaches a short written reason to every candidate it recommends, and one of LinkedIn's own example warnings is this: the candidate grows existing accounts, but the role needs a prospector. It works that out from your verbs, and it reads your LinkedIn profile and your ATS application side by side. The rollout starts in November.
What does LinkedIn Hiring Assistant 2 check when it screens you?
It attaches two signals to every candidate it recommends. Fit signals explain how well you match and can flag a mismatch in the kind of work you did. Candidate interest estimates whether you'd respond, based on your platform engagement, your Open to Work details and how often you answer InMail.
The agent also manages talent pools in Greenhouse, Lever and SmartRecruiters. According to LinkedIn, the recruiter now sees four things in one view:
- Verification status
- ATS insights from the connected applicant tracking system
- Pre-screening answers
- Relevant work experience
LinkedIn is putting real money behind this. HR Briefing puts LinkedIn's agentic hiring business at more than $450M in annualized revenue. Hiring Assistant 2 is free for English-language customers from November 2026, and fit signals reach non-English requisitions later.
LinkedIn's own figure. The candidates it surfaces are 4x as likely to be contacted.
That number is why the fit signal matters. A recruiter who reviews 83% fewer profiles is relying heavily on the agent's short written reason, not a close read of your resume. If that reason says "grows existing accounts, role needs a prospector," the reason does the screening.
Why can't an "Account Executive" title answer the hunter-or-farmer question?
Because the title covers both kinds of work. In Refolk's index of US professional profiles, 264,918 people hold Account Executive or Enterprise Account Executive titles, and the title alone doesn't tell the agent whether they win new logos or grow accounts the company already has.
A hunter is a seller whose main job is winning net-new accounts. A farmer keeps, renews and expands existing ones. They are different jobs.
Here is how US sales titles split by work type in Refolk's index:
| Group (current US titles) | People | Share of 713,606 |
|---|---|---|
| Account growth (AM / KAM / CSM) | 401,706 | 56.3% |
| Ambiguous (AE / Enterprise AE) | 264,918 | 37.1% |
| Explicit prospecting (SDR / BDR / New Biz Dev Mgr) | 46,982 | 6.6% |
Title matching is inclusive, so treat these numbers as directional, not a census. The shape still stands out.
From Refolk's index. Most explicit prospecting titles are SDR or BDR, so they skew junior.
Senior hunters are hiding under the AE title
Explicit prospecting titles are rare, and most of them are junior. Senior closers who source their own pipeline mostly sit under "Account Executive", a title the index finds at employers like Salesforce, Ironclad and Horizon3.ai. Sample employers on the account-growth and prospecting side of the comparison include ServiceNow, Placer.ai and Formic.
So a recruiter who asks the agent for prospectors pulls in a pool where farmers outnumber obvious hunters by roughly 8.6 to 1, and AEs outnumber them 5.6 to 1. The title can't sort that pool, so the agent sorts it by the work you describe. If you're a senior hunter and your bullets don't say so, you'll be grouped with the farmers. That's the costly mistake.
How do you write a hunter vs farmer resume the agent can read?
Put the motion in the first bullet of each role, and back it up with a split between new-logo and expansion results. Verbs like "managed," "renewed" and "expanded" read as farming whatever your title says. "Sourced," "opened" and "closed net-new" read as hunting.
The agent infers work type from the language you use. Here is how the common verbs tend to read:
Reads as hunting (new business):
- Sourced, prospected, opened, broke into
- Closed net-new logos
- Built pipeline from cold outbound
- Entered a new segment or territory
Reads as farming (existing accounts):
- Managed, owned, retained, renewed
- Expanded, upsold, cross-sold
- Grew net revenue retention
- Served as primary point of contact
The fix is a bullet that states the split as a number. Use your real figures in this structure:
- "Closed [N] net-new logos in [segment]; [X]% of bookings came from accounts I sourced myself."
- "Grew a book of [N] existing accounts; [X]% net revenue retention, driven by [product] expansion."
A line like "% of bookings from net-new accounts" answers the agent's question directly. Without it, the agent has to guess from adjectives.
Rewriting every role this way for every posting is tedious, and it's where most people slip back into "managed." Refolk does this part for you. Paste the posting, and I rewrite your own resume from your actual history so the motion the role asks for comes first, with the split stated in numbers.
What does the same split look like for engineers, marketers, and operators?
Every function has its own hunter-farmer split. Engineers have greenfield versus maintain, marketers have new audience versus existing customers, and operators have zero-to-one versus scale. Name yours in plain language, because recruiters can now type fuzzy criteria and the agent matches them against the work you describe, not just keywords.
ERE describes the agent's "do what I meant" inference. A recruiter can ask for something vague like "fresh perspective" and the system interprets it. Vague criteria can only be matched against plain descriptions of the work. "Built the billing service from an empty repo" matches "greenfield." "Owned the platform" matches nothing in particular.
| Role | Motion A | Motion B | Evidence the agent may see |
|---|---|---|---|
| Engineering | Greenfield build | Maintain and harden | Replit, nine JetBrains IDEs |
| Marketing | New audience acquisition | Retention and lifecycle | HubSpot, Buffer, beehiiv |
| Design | New product or brand | Iterate an existing system | Behance |
| Operations | Zero-to-one | Scale and optimize | Resume and profile bullets |
The right column is Connected Apps, LinkedIn's feature that pulls work activity from tools you use into your profile. As of August 7, 2026, the catalog had 26 entries. Replit was a featured launch partner. LinkedIn CEO Dan Shapero describes the feature as giving members "real, credible proof of what they're capable of."
Here's what that means for you. An engineer whose Replit activity is mostly new projects can credibly claim greenfield. An engineer whose record is years of maintenance on one codebase should lead with that, and present it as reliability, migration and scale work. Don't relabel it as building from scratch.
Why should you pick one motion per application?
Because the agent remembers. It learns per role, per recruiter and per company, and the candidates a recruiter invited or passed on shape what it suggests next. A resume that blends both motions to cover every case fits neither one, and each pass teaches the agent to rank profiles like yours lower for that role.
Socialfind reports that fit is judged against "the way your company hires," not only against the written requirements. That's a feedback loop. Suppose the agent flags you as a farmer for a prospecting role and the recruiter passes. The agent now has evidence that this company skips profiles like yours for this kind of role. Hedging doesn't protect you here. It just makes you a weaker match for both versions of the job.
So read the posting and choose one:
- Find the motion words in the posting: "new logos," "outbound," "territory build" for hunting; "book of business," "renewals," "expansion" for farming.
- Lead every recent role with the matching motion, if you really did that work.
- Move the other motion to the second or third bullet. Don't delete it, just stop leading with it.
- If you never did the motion the role needs, weigh whether to apply. Don't write your way around it.
LinkedIn says Job Match is used more than 1M times a week by Premium subscribers, and those users send fewer applications to roles they match poorly. That's the right instinct. Skipping the prospecting role you'd be flagged on frees up time for one you'd actually pass.
Tailor the emphasis, never the facts. The agent has your profile open in the next column.
How do you avoid a LinkedIn profile vs resume mismatch?
Treat your LinkedIn profile and connected-app evidence as the fixed record, and tailor your resume's emphasis to fit it, never its facts. The agent puts ATS insights next to profile data. If your submitted resume says "greenfield builder" and your profile says "maintained," it sees two different stories.
Two separate machines read you now. On the ATS side, Greenhouse Talent Matching works from your resume, and Lever's Talent Fit checks it against requirements taken from the job description. On the LinkedIn side, the agent reads your profile, and through its Greenhouse, Lever and SmartRecruiters connections it also sees ATS applicants. Before, you could tune one document and ignore the other. Now both sit in the same view.
Connected-app descriptions are generated automatically and you can't edit them. That makes them the most fixed part of your record, so the rest should match them. Your evidence anchors the story, and your resume points to the part of it that's relevant.
Recruiters are worried about trust too. In LinkedIn-commissioned research with 500 US recruiters, 64% said it's getting harder to know who and what to trust. A profile and resume that disagree look like exactly the problem they're worried about.
A consistency checklist before each application:
- Make sure titles, employers and dates match exactly between the profile and the resume.
- Write your profile headline or About section in the motion you pursue most often, for example "new-logo AE, mid-market SaaS."
- Use the same numbers in both places. If your resume says the share of bookings from net-new accounts, your profile should too.
- Check what your connected apps show. Then make sure your resume doesn't claim a kind of work they contradict.
- When you tailor a resume, reorder and reweight bullets. Don't rename work you didn't do.
The candidate interest signal causes a separate problem for people who are employed. It reads your Open to Work details and how quickly you answer InMail, so staying hidden looks like disinterest. Being visible means your current manager can see you're looking. Plenty of good sellers are stuck between those two, sending careful applications and hearing nothing back.
FAQ
When does LinkedIn Hiring Assistant 2 reach recruiters?
The rollout starts in November 2026, and it's free for English-language customers from that point. Fit signals for non-English requisitions come later. If you're applying to English-language roles this winter, assume the recruiter is seeing the agent's written reason next to your name.
Does the agent reject me automatically if it flags a mismatch?
No. It recommends candidates and explains them, and the recruiter decides who to contact. But LinkedIn says recruiters using it review 83% fewer profiles, so a flagged mismatch in a shortlist that small can easily be where your application stops. Because the agent learns from those passes, the flag can also shape later matches at the same company.
I did both hunting and farming. Which do I lead with?
Lead with the motion the posting asks for, as long as you really did it, and back it with the split in numbers. Keep the other motion lower on the page instead of blending the two in every bullet. A blended resume is a weaker match for both versions of the role, and an ambiguous title like Account Executive won't settle the question for you.
Do connected apps actually get you more recruiter messages?
LinkedIn says profiles with a connected app get up to 2.9x as many recruiter messages, but that doesn't prove the app is the cause. People who connect apps may simply be more active. The more useful point is that the descriptions are generated automatically and can't be edited. Check what yours say, and keep your resume's claims consistent with them.