# Lindzi Cox

Lindzi Cox works with talent-acquisition teams on recruiting workflows, automation, and candidate experience. Cox says they spent 15 years in agency recruiting and joined Humanly.

- Profile: https://b2binfluencer.marketing/creators/lindzi-cox/
- LinkedIn: https://www.linkedin.com/in/lindzi-cox-9889a99
- Topics: recruiting, candidate-experience
- Based on 11 dated posts, latest 2026-10-06

## Summary

Lindzi Cox is most useful for explaining recruiting workflows, candidate experience, and hiring process redesign to talent acquisition teams.

- Best for: Humanly or an aligned non-competitor planning a co-marketing webinar on AI-enabled recruiting workflows.
- Not for: A competing recruiting automation vendor seeking vendor-neutral analysis, guaranteed reach, or a performance fee.
- Check first: Confirm sponsorship terms, external webinar participation, approval process, and audience data before contacting them.

### Takeaways

- Cox says the candidate experience problem is silence, not AI.
- Cox warns teams not to pave the cowpath by automating an inherited hiring funnel.
- Cox says structured hiring can address vague role requirements, like-me bias, and overlooking capable candidates.

## Main ideas

- **The candidate experience problem is silence, not AI**: Cox argues that companies created the candidate experience problem by ignoring applicants, not by adopting AI. Their framing: the real conflict is not humans versus AI but AI versus the candidate being ignored. Most applicants apply and hear nothing, while the best candidates accept offers elsewhere. Cox prioritizes a real conversation over a form or keyword filter, and describes a structured, scored interview as the way to deliver it.
- **Automation should show up in hiring throughput, not just tooling**: Cox draws on their agency recruiting experience to make automation concrete through operational measures. They say they spent 15 years in agency recruiting and know the Monday feeling of being buried in admin while a hiring manager asks why the pipeline is slow. Their reasoning: when scheduling, screening, and coordination burdens fall, the same recruiters can interview more, connect more, and hire more.
- **Don't pave the cowpath: redesign the hiring funnel**: Cox warns against using AI only to speed up inherited processes. They ask what people would build if they started with a blank page today. In talent acquisition, that means letting go of the rigid, linear funnel rather than automating each existing step. Cox wants hiring to feel more continuous and conversational, less like a gauntlet for candidates and a bottleneck for teams.
- **Recruiters are drowning in the wrong work**: Cox argues that recruiting teams struggle not because the work is too hard but because too much of it is the wrong work: scheduling, screening, chasing candidates, and answering the same questions repeatedly. When those tasks run automatically, teams stop reacting and start leading. They interview more, connect more, and hire better. The underlying claim: high-performing recruiting teams do not work harder; they work on the right things.
- **Structured hiring and algorithms to reduce bias**: Cox amplifies Mads Faurholt-Jorgensen's TEDx talk, which argues that nobody taught us how to recruit and that people spend 10% of their time recruiting and 90% making up for recruiting mistakes. Cox selects three problems from the talk: hiring managers want someone good at everything instead of the best goalkeeper and best striker; people confuse a good employee with an employee like themselves; and resumes screen out strong performers without traditional pedigree. The talk proposes structure, tools, and even algorithms—not to dehumanize hiring but to make it fairer and more effective. Cox adds that interviewers already run biased mental algorithms that cannot be debugged or improved.

## Work to read

- [AI didn't create the candidate experience problem. Ignoring candidates did.](https://www.linkedin.com/posts/lindzi-cox-9889a99_ai-didnt-create-the-candidate-experience-activity-7473385319585886208-iF4u)
- [I spent 15 years in agency recruiting.](https://www.linkedin.com/posts/lindzi-cox-9889a99_i-spent-15-years-in-agency-recruiting-i-activity-7468001160227106818-sorq)
- [Don't pave the cowpath.](https://www.linkedin.com/posts/lindzi-cox-9889a99_this-idea-hasnt-left-me-since-i-heard-it-activity-7444406935766028288-m5ki)
- [I talk to recruiters every week who are drowning.](https://www.linkedin.com/posts/lindzi-cox-9889a99_recruiting-recruitingautomation-talentops-activity-7437563018357600256-bpaT)
- [How to master recruiting – Mads Faurholt-Jorgensen](https://www.linkedin.com/posts/lindzi-cox-9889a99_how-to-master-recruiting-mads-faurholt-jorgensen-activity-7404992519543029761-3-ZZ)

## Brand relationships

- **Humanly** (employment)

## Partnerships

Cox has not published sponsorship or partnership formats. They promote Humanly, a recruiting automation company, with an invitation to try a Humanly interview and an offer to show the product in practice. A Valet Living customer story supports Humanly’s recruiting results. For a co-marketing webinar, treat them as a possible Humanly-side subject-matter voice, not an independent creator with a published sponsorship menu. Before planning, ask whether they participate in external webinars, who handles approval, and what audience reach, content assets, or promotion commitments they can provide.

## Alternatives

- Viktor Donner: When the sponsor wants a recruiting agency operator's perspective on candidate experience and process change rather than an AI workflow specialist. Donner argues that HR often treats candidates poorly, rejected candidates deserve concrete feedback, and recruiting should shift to a candidate-centred sales approach. A webinar on fixing candidate silence and rejection experiences before introducing automation would make good use of these ideas. Donner also details Neohunter's tool stack, including Recruit CRM, Notion, Slack, Loom, and Zapier, offering a practical recruiter-tooling segment.
- La Donna Lokey: When the webinar focuses on AI as a career-advice tool, the manager development gap, and candidate empathy. Lokey's 2026 post argues that public AI tools fill a gap when managers cannot help with career development, and that organizations need internal AI career support grounded in performance data and human judgement. The 2025 post uses the starfish story to argue that every candidate interaction matters. This suits a sponsor whose TA software addresses internal mobility, career development, or candidate communication—not only sourcing and scheduling.
- Mehul Jain: When the sponsor wants a current, product-led view of AI recruiting agents and platform strategy. Jain's posts, dated September and October 2026, cover Metaview's $110M raise, Jack & Jill and Juicebox funding, and Fabric's evolution from interview notes to a full-stack hiring platform. This directly addresses AI-enabled recruiting workflows and would suit a webinar on where recruiting tech is heading and how agents are taking over sourcing, research, outreach, and scheduling.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/