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EP 226: Navigating Modern TA Operations in 2026

The Breakthrough Hiring Show · 2026-08-18 · 39 min

0:00--:--

Key moments - from our scoring

Substance score

59 / 100

Five dimensions, 20 points each

Insight Density12 / 20
Originality11 / 20
Guest Caliber13 / 20
Specificity & Evidence10 / 20
Conversational Craft13 / 20

Jeremy Lyons explores the maturation of AI in recruitment operations, emphasizing that organizations have moved past the initial rush to implement AI for its own sake into a more thoughtful period of identifying high-leverage use cases. Rather than automation as an end goal, Lyons advocates for understanding organizational hiring cultures and enabling teams through proper change management. He uses a concrete example of a company that created process bottlenecks by centralizing offer letter distribution - seemingly a systems problem but actually an enablement issue rooted in different hiring culture expectations. The discussion covers AI applications like scheduling, interview note-taking, and sourcing, but Lyons argues the most interesting work involves defining what success looks like within a specific culture. He also discusses RecOps Roundup, his neutral newsletter aggregating recruiting operations content, jobs, vendor updates, and tactical advice without vendor sponsorship.

Key takeaways

  • →The shift from 2025's 'implement AI everywhere' mentality to 2026's focus on identifying specific high-impact use cases like context engineering versus simple prompt engineering represents organizational maturity in AI adoption.
  • →Process and culture problems often masquerade as technology problems - enablement and clear communication of hiring workflows matter more than the tools themselves.
  • →Automating entry-level recruiting coordinator work risks breaking the pipeline for developing next-generation talent who learn foundational skills in those roles.
  • →Building hiring culture clarity - defining what success looks like in your specific environment - is a more impactful metric than ambiguous measures like 'quality of hire.'
  • →Organizations must decide whether they're building AI to replace people or co-pilot with people, and this foundational choice shapes all downstream technology and process decisions.

Guests

Jeremy Lyons

Topics in this episode

Quality of hire metricsAshbyRecOps CollectiveGreenhouseAI scheduling automationPrompt engineering vs. context engineeringHiring culture definitionAI note-taking and scorecard integrationAI sourcing and screeningRecruiting coordinator automation

Questions this episode answers

What's the most impactful AI use case for talent acquisition right now?

Jeremy argues there isn't a single answer across all environments, but notes that scheduling automation sounds simple yet requires human oversight because hiring managers need to reprioritize candidates and last-minute changes still require judgment. The more meaningful opportunity is building hiring culture clarity and defining what success looks like in your specific organization.

How do you implement new recruiting technology without process breaking down?

Jeremy's example involved a company that created a bottleneck by centralizing offer letters with one person. The solution wasn't a new tool but enabling recruiters to send offer letters themselves, track data properly, and control their own workflow - addressing the enablement and procedural issue, not the technology.

Should 'quality of hire' be a core recruiting operations metric?

Jeremy argues against it, calling it amorphous and ultimately a business metric, not a recruiting metric. It's better to focus on pulling business metrics like sales impact, HR outcomes, and retention - showing how recruiting connects to broader organizational results - rather than ownership of undefined measures.

How has AI disrupted entry-level recruiting roles and career development?

Automating high-volume tasks like scheduling and screening risks eliminating the roles where new recruiters learn foundational skills and context about hiring processes, creating a paradox where companies demand experienced candidates but eliminate the jobs that build that experience.

What's the difference between replacing people with AI versus co-piloting with them?

This is a foundational choice organizations must make consciously: do you want fewer people doing the same work, or the same number of people (or more) doing more strategic work? The answer changes how you architect technology, processes, and hiring culture.

What our scoring noted

Our reviewer’s read on each dimension, with quotes from the episode.

Insight Density

12 / 20

The episode contains some genuinely useful ideas - particularly the distinction between replacing vs. co-piloting AI, the enablement/culture issue masked as a systems problem in the offer letter example, and the warning about automating entry-level roles without creating skill development pathways. However, these insights are interspersed with substantial padding: lengthy digressions on personal neutrality, sponsorship models, partnership agreements, and RPG game ideas that don't directly serve hiring operations. The guest avoids committing to specific findings or claims ("I haven't sat on long enough to have an answer"), which undermines depth.

The piece that I come back to is okay, if we automate the hell out of this, how do we train the next generation to do the thing?
Really what it boiled down to was an enablement issue... the bulk of these recruiters and individuals had come from a very specific type of hiring culture

Originality

11 / 20

The conversation touches on some worthwhile contrarian points - pushing back on the "automate scheduling completely" consensus, questioning whether quality of hire should be a TA metric - but these are observations rather than novel frameworks. The broader thesis about AI maturation from "hype to pragmatism" is widely circulating in 2026 commentary. The hiring culture/enablement angle is sound but not particularly fresh. Most of the novel material is in personal anecdotes (single point of failure with offer letters) rather than systematic new thinking.

I don't know if I do [agree scheduling should be fully automated]... if we automate the hell out of this, how do we train the next generation
Quality of hire as a metric, it's amorphous... it's a business metric, it's not a recruiting metric

Guest Caliber

13 / 20

Jeremy Lyons is a practicing consultant and co-founder of RecOps Collective with credible in-house recruiting background. He's actively advising companies and has built community credibility via newsletter and conference work. However, the transcript reveals limited scale of operations - clients are described generically ("companies of all shapes and sizes"), no major household-name case studies are cited, and his experience appears primarily at the operations/enablement level rather than at director/VP scale where strategic hiring decisions happen. He's a competent practitioner but not a marquee operator.

I started out as an RC, in-house RC... I still think that it is a phenomenal position to be in and learn and grow
I just helped a major rec tech player put on a huge conference... helping do some implementation work, especially around tools like Ashby and Greenhouse

Specificity & Evidence

10 / 20

The episode is remarkably light on concrete data, metrics, or named examples. The single detailed case study (offer letter single point of failure) is anonymized and focuses on process rather than measurable outcomes. References to aptitude research and Ashby's scheduling paper are mentioned but not explored. Claims about AI adoption trends and cost structures ("10 to 20 percent of first year contract") lack supporting numbers. Most statements are general ("renewed interest," "more data coming out") rather than specific.

A company that I worked with where they the recruiting team had turned the treadmill up to 12 miles an hour... one person will be sending out all of our offer letters
It's a 10 to 20 percent of first year contract for most vendors

Conversational Craft

13 / 20

The host asks generally good questions that push Jeremy toward specificity ("Can you give me an example?", "What are the most interesting findings?"). However, follow-ups are often incomplete - when Jeremy dodges the "highest-impact AI use case" question with "I don't know if I do," the host doesn't press hard for a real answer. Several tangents (newsletter monetization, partnership agreements, the RPG game idea) are allowed to flourish without productive push-back. The host does redirect toward hiring culture work partway through, but misses opportunities to challenge vague claims about "renewed interest" or press for numbers on implementation ROI.

So can you give me maybe like a it'd be helpful to get an example of a recent engagement or project you've been working on?
I'm curious what have been the most interesting findings for you potentially over the past three to six months?

Conversation analysis

Computed from the transcript - who did the talking, and the words that came up most.

Most-used words

recruiting22different14somebody14operations13interesting13data13hiring11culture9feel9offer9jeremy8better8tech8team8part8cool8

Episode notes

In this episode, host James Mackey talks with Jeremy Lyons , Co-Founder of RecOps Collective, about what recruiting operations really includes, why AI rollouts often fail without clear context, and how hiring culture shows up in the data. They discuss scheduling automation, the hidden cost of automating entry-level roles, and practical ways to stay credible while working with vendors and partners. Thank you to our sponsor, SecureVision , for making this show possible!

Full transcript

39 min

Transcribed and scored by The B2B Podcast Index.

Hey everyone, welcome to the show. We got Jeremy Lyons with us. Jeremy is currently the co-founder over at RecOps Collective. Jeremy, thanks for joining me today.

Thank you for having me. So I'm very excited for our conversation today. And before this call, we had our prep call, and I was looking at your LinkedIn profile. And I'm really interested to learn more about the work that you're doing.

I think it's a really exciting time in recruitment operations and how town acquisition leaders are thinking about crafting TA solutions and driving better hiring outcomes. Really exciting things happening with tech. Probably a little more challenging to figure out how to orchestrate different technical and people solutions to drive results. But yeah, I'm hoping to have a really interesting conversation around that.

But maybe just to take a step back, could you tell everyone a little bit about what you do in your role and how you work with organizations? Yeah. So when it comes to how I work with different organizations and the work that I do, it's really a broad scope of things. RecOps is not necessarily just one item.

It's it covers programs, it covers operations, it covers data analytics, it covers strategic work that the recruiting team is doing. Now, by and large, it's covering a lot of AI pieces and enablement pieces. Sometimes it's even covering employer brand. So it's really staying, it's really the most, I would say, maybe biasedly, the most exciting place to be in recruiting because every day is different.

Every technology piece changes something. Every social piece that somebody else puts out changes something. And so it really forces you to stay on your toes and work with people to really understand and also just very firmly stay networking because chances are you are working on something that is somebody else is probably working on. Maybe they have a different angle, maybe you have a different angle.

And it's really just this ability to stay connected in the ways that you need to stay connected. Yeah, definitely. So can you give me maybe like a it'd be helpful to get an example of a recent engagement or project you've been working on? Yeah, yeah.

No, it's so at least as part of my business, something else that I do is I do a lot of community work. And there's been a very big renewed interest in the recruiting operations community and tailoring conferences to us. So I just helped a major rec tech player put on a huge conference. So that's been cool.

And then really, it's a number of brands of all shapes and sizes adopting new technology and helping do some implementation work, especially around tools like Ashby and Greenhouse and and a few others. Nice. Yeah, that's great. That's great.

And what types of organizations are you typically working with? Are these primarily startup scale up, growth stage, enterprise? What do they typically look like? Yeah, so it's really it's been across the board.

It's been in pretty industry agnostic as well. It really boils down to what are people doing, what technology are people using, and how are they trying to use it? Definitely have seen kind of renewed interests in companies thinking about how do we think about people, how do we deploy our people, especially now? We had that sort of everybody should use AI conversation.

Now it's hey, all the AI companies got us very hooked on using themselves, and now I've switched to different payment models of like instead of a flat monthly plan, it's now you're gonna be paying by tokens. So now there's this return back to uh an interest in into the people. But I think also now we're starting to see more and more data come out around people and AI and how that interaction is happening and how best to leverage it, as well as certainly a lot of legislation around that usage.

So it's a lot of the conversations I have, which start out around AI and tool building and stuff like that, actually really boil down to internal constructions about how companies think about their hiring. What can I do to help them develop their hiring culture? And so those projects have actually been really cool because they start out as uh, hey, we were looking at the data and the data doesn't look right, and it's the data doesn't look right because your process around this isn't right, your hiring, your hiring teams haven't been doing this thing in a more modern way and sophisticated way.

So, how do we get how do we get everybody up to speed? Yeah. Yeah, it's I'm curious to hear from you as you say more data is coming in around particularly like with AI implementation and when it's appropriate to use people for certain emotions and when it's appropriate to leverage technology, or how rather to use both alongside each other, like how could people use AI? I'm curious what have been the most interesting findings for you potentially over the past three to six months?

Findings in what specific sense would you say? I think one thing I've given a lot of thought to is I feel like in 2025 people wanted to use AI. It was AI, AI. There's this big kind of craze to implement modern tech.

Uh, I think a lot of TA leaders felt probably still feel a lot of pressure to be forward-thinking and implementing the best technology. They don't want to be left behind, they don't want to come across as not feeling like they're in the know, even at times where maybe they don't feel from a from an outcome perspective, they don't even necessarily feel like they have to implement something new. They feel like they should, right? There's other teams where there's, of course, genuine massive productivity gains that can be introduced through AI.

But I think there was a lot of fumbling in 2024 and early 25, where people didn't really know how to implement it, like where it was going to be effective. And I think in 2026, we're starting to get a better sense of high-leverage areas to implement AI. So I'm just curious if that's something you've experienced. Now I certainly have, but I know my guests have heard from me, Punny.

So my audience rather. So what are your thoughts? I think that the what's interesting to me is one thing as a business owner and consultant is that you're always paying attention to the market because you have to think to yourself what is happening next. So it puts you in a very particularly interesting spot because one, you're doing a lot of social listening, and two, you're doing a lot of research because you you need to know or be at least a step ahead of where other people are so that you're able to market your skills or add skills to your tool belt that you might not have had before.

And so it's a very different piece that you're trying to that you're trying to capture. And I think one of the things that a lot of people made the mistake of was they rushed to say that they did the thing. But then when you started to dig in deeper as to like why did they do the thing, you ran into certainly some issues where people couldn't articulate it. And I think that's why we've started to see a little bit more of a conversation around context engineering versus just prompt engineering.

And I think that one of the other things that has been certainly quite interesting has been I started out as an RC in a-house RC. And I love the RC work. I still think that it is a phenomenal position to be in and learn and grow and learn a ton about the recruiting space. Yeah.

Yeah. Yeah. And back then I would still ask a lot of the same questions I ask now. The only difference is that people are, I think, a lot more used to people trying to get more context.

And so the people who in the past might have been labeled a squeaky wheel because they're, hey, why are we doing this thing this way? Why let's have a conversation about this, now are in positions where you need all that context. They understand all that context, they're training things in all that context. And I think, largely speaking, a lot of how we recruit, how we talk to people, how we think about what we're doing has changed significantly because we all know we need these context-rich interactions in order to be able to be more effective at our job.

Yeah. Yeah. Yeah, it's really cool, man. I I am curious to get your thoughts just on where the market is today.

What products, not necessarily product names, uh, we can go that route too, but what use cases do you feel like are most interesting on the tech side right now? Use cases. Use cases for AI. Use cases for AI.

Yeah. If you had to okay, how about this? Maybe if I put it this way, what if we had to pick like the one highest impact? And it's obviously different for most environment like different environments, but if you had to pick one use case for AI in town acquisition, what would it be?

That's a more fun question. That is a more fun question. It's a deeper question, which is why I'm like hard. It's like it's making you pause.

But the reason why I pause is because let's I've had a lot of conversations with people recently, and I know, for example, like aptitude research published a paper with Ashby where they pointed out scheduling is this incredibly impactful thing that AI should be handling. Nobody should be handling their own scheduling, it should all just be AI. Do you agree with that? I don't know if I do.

So here's the, and that's the exact reason why I was pausing to think earlier, which is to me, when I sit there and I look and I think about what this space looks, and what is the bulk job of what the recruiting coordinator does, or other iterations. Now we're seeing candidate experience specialists, or what the core of their job has been. The piece that I come back to is okay, if we automate the hell out of this, how do we train the next generation to do the thing? Because you learned so much in these entry-level roles that are being automated out.

So now it's you know that whole debate where it's like you need the five years of experience, but in order to get the five years of experience, you have to get the job that's going to give you the five years of experience loop. I think that AI has been very disrupt, will be and has been very disruptive to that loop. And now it becomes where are people going to develop the skills that they need to be effective in other places where they have the context to be effective at it? So I don't know.

It's a very interesting question that I don't think I've sat on long enough to have an answer where I'm like, this is the most exciting thing because what I say today when as we're recording this on a Friday could be completely obsolete by Monday when one of the studio one of the the labs releases a new model. Yeah, for sure. For sure. It and it also it's like it's a cool sound bite, but the reality is it's going to be different based on the environment.

Yeah. I mean like inner scheduling is uh obviously a massive pain. I think the hard part where to have it fully automated is that sometimes the problem is that you have really busy executives and it just takes rescheduling and scheduling, and it hey, you have this internal thing. Yeah, could AI technically sure, but sometimes when there's a need to last minute reprioritize a candidate to push them in a week sooner to close, those things, it's not something that I just even for instance, like I know eBay and some bigger companies, they use technology like AI for scheduling, but they still have a human that's watching the conversations and can jump in at any time to override it.

So I think that there's still, for instance, even when it's scheduling, it's it seems it sounds like very basic and entry-level, and oh, anybody can that's the type of work to automate. It's like yes and no, it's yes, it's a junior level role, but there is still a level of complexity to it that I think it's there's to some extent there needs to be someone helping drive speed with it to help it move faster, you're just gonna lose candidates. It's well, and it's interesting that you take that angle, not because I think that it's a a bad angle to take.

I think the reason why I personally think of it as being quite interesting is that it all comes back to humanity in a way. And tools like this, because I I know a lot of scheduling tools in the rec tech space, have great relationships with them, offer product feedback to them and everything like that. The the difficulty is not actually in the tech, the difficulty in it is yeah, the hiring managers. It's it's the people.

Yeah, it's the you're a busy guy, I'm a busy guy. And if I have an assistant, I have to give all of my the assistant my context. And most people, because we still are operating in a in an idea around tools in a very specific kind of way, and this is the stuff that I oftentimes talk about with recruiting operations teams all over the place, is you need to actually sit people down and say, what is the thing that we're trying to do, and get them to really tease out like the value of stuff.

And so there's not there's nothing that I can do right now that would encourage that would make you more curious, better detailed, anything like that, if that is not already base software that you have in you. I've jokingly said, if people want to get really good at AI and building AI for themselves, the first thing that they should do is book a therapy appointment. And the reason for that is quite simply because if you book a therapy appointment and you learn the techniques to be able to break down how you think and how you do all the things that you need to do, you will be better at AI because you will be able to say to somebody, this is why this specific problem upsets me.

This is why I need a solution to this specific problem. This is what I would consider a good solution to this problem. And you're able to basically like Tony Stark pull the thing apart, look at it in a whole bunch of ways, pull things out, and then slam it back together because you're like, I know how to partition my brain to explain in very detail to somebody else why this has value. And a lot of people are able to do that.

So scheduling it is an interesting one. What are you what else are you looking at right now? There's of course we have there's uh all the AI note takers and integrating with the ATS and managing and helping update scorecards, that kind of thing. You have AI sourcing, you have AI screening and interviewing.

Where else is what have you else been focused on with your customers right now, like recently? I know we've spent the bulk part talking about AI, and I think everybody is probably Jesus, can people stop talking about AI for five minutes? I don't know, but it's changing. The issue is that it's changing every like five minutes.

Yeah, it's it's changing, but the thing about it is that it's still addressing a fundamental human problem and pieces like that. So I think the most interesting things that I'm actually working on with my clients is hiring cultures and really being very defined about what do they what do how is somebody going to be successful within their culture. Oh, so that you're talking like okay. So that's more on like the that's post-talent acquisition when you're talking about how to be successful within a culture.

Well, but the thing about it though is so part of it is post-talent acquisition. I think part of it is also when people start talking about this quality of hire as a metric, it's a biz like one, it's amorphous. We don't have a good definition for it. Two, it's a business metric, it's not a recruiting metric.

Thank you. It's just it's almost mildly obnoxious to try to put that on the TA team to own as a core metric of success. It's not look, it sounds really cool in theory, but it's not something that I think should be a core TA metric. Oh, yeah.

No, I don't think that it's a core TA metric. I think that it's much in the tried. Yeah, much in the same way. Like, I think right now what we're all trying to get to, TA not just included, but everybody is trying to get to, is what are business metrics and how do we pull those in to tell a story?

So, what's the impact on marketing, on sales? What's the impact of sales on marketing? What's the impact of social on all the things? What's the impact that recruiting has on T on HR?

What's the impact that HR has on sales? All these things, all these things are just like all departments, and now we're starting to get very good because we have all these data sets being pulled into one and into an MCP and stuff like that, where we could start to say, what does your Salesforce data look like? What does your recruiting data look like? And now expose it.

But more simply than that, I think that a lot of companies now are trying to figure themselves out in a constructive way. And that could be, at least on the talent side, as simple as are we building things to replace us or are we building things to co-pilot with us? And that's not just how are we using AI? That's how are we building something to have more people involved or less people involved?

And how are we successful at that? And some companies want to build to replace, some companies want to build to copilot. And you have to be at least flexible enough to know is this an environment that I will work well in? Because not everybody will.

Yeah. So when you're talking about building a hiring culture with your customers, it sounds like what you're also talking about is so there is an aspect of it like AI enablement, co-piloting, agentic. There is that aspect too. But what do you when you talk about making a change to recruiting culture, hiring culture?

Walk, can you give us an example? Maybe you don't have to name the name of a customer, but like I don't know. Just walk me through like a maybe a situation where you walked into a customer environment where there was issues with hiring culture, how they were viewing town acquisition or whatnot, and what you were able to do to address it and get them on the right track. Yeah, yeah.

There's a there was a company that I worked with where they the recruiting team had hit the ground running. When you see that meme of somebody turning on a treadmill really high, and then the person jumps on it and gets thrown off. That was the the expectation was we've turned this treadmill up to 12 miles an hour. We're dropping a recruiting team on it, go and sprint.

And they had totally new tech that many of them hadn't been familiar with. And so naturally, when you get confronted with totally new tech that you haven't used before, you're probably going to default to what you've done in the past. Not all tools accommodate such a thing. But procedurally, one of the things that this team had done was created a single point of failure by saying, okay, one person will be sending out all of our offer letters.

And this was problematic in a couple of ways because the way they would end up using the system is James, I'd say, Hey James, I'm gonna send you an offer. Here's the offer, isn't it great? And you'd be like, Yeah, it's great. I accept.

They'd be marking the candidate as hired in the system. But the problem is you didn't get a formal offer letter yet. You've accepted a verbal, but now all the data around offer acceptance rate looks really screwy too. And so while that looks like a systems issue and that looks like a process issue, and it looks like all these things from the outside, really what it boiled down to was an enablement issue.

And you had to understand that the bulk of these recruiters and individuals had come from a very specific type of hiring culture where the recruiting HR handoff happened. After the candidate had verbally accepted an offer. And that that is that can run very differently in different places, but that ultimately was not the going to be long-term successful at this specific company. So I worked with them to switch everything so now that the recruiters could send the offer letters so there wasn't a single point of failure.

When a candidate signed the offer letter, it tracked it in the system and flipped things over. It did specific things that ultimately changed how the recruiting team itself operated because now they had more control. They could look at things, they could be, they had a better grasp of their data versus them being like on a Friday night, you mentioned you're on the East Coast, I'm on the West Coast, me firing off a text to you and at 10 o'clock your time, seven o'clock my time.

James, I need you to get this offered letter out in the next five minutes. And you're like, I'm sitting down to have dinner with my family. The week is over. And them being like, why are you holding things up?

It's like, I'm not. It's just like I'm a human being and I have a life and I have a family and I need to eat dinner and all those things. Also, if you're having dinner at 10 o'clock at night, you know, totally by you, yeah. Sounds like you don't need a different eating at home culture.

Look, plenty of cultures eat late at night, things go into the evening, and those cultures have siestas as well, which like I'll take a nap time. Yeah. Hey, so you're also pretty big into creating content, right? If I'm not mistaken.

So this a rec ops roundup, that's is that a newsletter that you put together? Or yep. Oh, so yeah, tell us about that, man. Yeah.

So the Rec Ops Roundup started out as a very big passion project for me because as a RecOps professional, most of the information that I'm getting is sourced from all over the web. You've got data folks talking about data pieces that you might not see if you don't know the right people to follow, anything like that. You've got tool updates that you have to be maintaining in your brain, and you're not sure where those things are. And so really it started out as a digest of hey, here are jobs that are open, here are updates from vendors, here are events that are coming up.

Historically, the recruiting operations, TA operations world, we've been locked, we were very heads down internally in our own company. So we don't necessarily know what's going on outside of it. So it helps people to focus in and lock in. And part of what I do with it is because is make sure that people also have bite-sized advice for how to be better at the work that they're doing every day.

And I have not taken any vendor money for the newsletter. Some people might call that smart, some people might call that stupid, but the reason for that is it's a neutral, it's a neutral resource for everybody to use. Yeah. Find a way to do both.

We should talk about that. That'd be cool though, if it helped uh because those things, it gets it's pretty expensive to produce, right? You put so much time into these types of things. You gotta get some sponsorship slots or something.

It's you know what, it is the time, there is a time cost. Yeah, that's probably the biggest part, right? And that's huge, that's hugely expensive in a way, right? Yeah, at the same time, though, there's one way to look at it, which is oh my god, I'm spending all this time putting this thing together.

The thing about it is that I'm already reading those articles to be better myself about it. So it's a forcing mechanism that I have to read it to share it to my community. Yeah. And so I'm learning at the same time.

And the thing about it is no one can learn for you. You can only learn for you. And so it's an in I consider it every week, it's it's an investment in myself, but it's an investment in my in my community that pays dividends for other people that I just get to share. That's awesome.

Yeah, man, that's cool. I as you can imagine, the podcast is a pretty massive investment, but I also have team members that are doing a lot of the work on the production side too. So yeah, it's interesting. I've been talking with folks about sponsoring too, and I do I am neutral, and so it's like talking with them.

It's funny because we'll talk about sponsorship plus slots. It's like to be clear, I'm gonna if I think a tool's better than this, then the other, or whatever, I'm gonna talk about I we can give you the shout out, you can get the slot, I can even help try to help make help make intros, but I'm also gonna introduce them to a competitor if I think it's the right the right move. So you just say, and that's where I've been doing having those conversations lately. Is like, how do you feel about that?

To be clear, here's how I can help, but it's not exclusive, it's not so I'm navigating that right now, too. But I have decided yeah, we're gonna start to bring on sponsors because it's just it's expensive to the show's just gotten to a point where it's like we want sponsorship slots at this point. We're gonna start to do it's the so there's a few things that I would tell the people. Maybe you're a listener, maybe to your listeners, this is an important thing.

Is that for a lot of people who maybe you've been laid off, maybe you've always had this burning desire to start your own recruiting operations or recruiting thing, and you're gonna go solo, especially on the recruiting operations side. The thing that I say for a lot of people to do, the advice that I give is one take stock in the tools that you know really well and reach out to those vendors and say, hey, look, I'm starting to go, I'm gonna go solo. Do you have a partnership agreement that we can sign so that when I refer you, I get, you know, it's mutually beneficial to us both.

And that can be anywhere between 10 to 20 percent of first year contract for most vendors. Some vendors are even greater when they're like, hey, if they renew, we'll give you a cut of whatever the renewal is. So that's an avenue of business that most people don't. The other thing, too, is a lot of the vendors.

You can do that, it doesn't have to be only with that. You can go, you don't have to give that you it's not a bit this doesn't make you give bias advice. You can literally all these companies will give you partnership agreements, so you can for all those companies in the space, all of them are willing to do some kind of rev share situation, as you said. So you can just build up partnerships with all these major companies.

It's a really smart move. Yeah, though, having said that, I think a lot of partnership groups, they're not gonna just hand out hand these things out. Do they not do them to consultants? It has to be established firms, or oh, I think it's just that people want to see people be represented.

Like sometimes I think some companies feel like maybe that's a conflict of interest between if you're an in-house person and that. It's think about when you if you're an in-house team and you run a referral bonus program, and basically you have one person who's like, hey, look, I figured out I can refer all these people. I've now made up my entire months or my entire year's worth of salary in referral bonuses, and now I'm like doing part of my job, but I know that the real become the recruiter because maybe you're offering 10, 15,000 and they look at their what they're getting paid, and they look at that and they go, look, I can easily pull in an additional 100K in referral revenue.

Not actually focused on your yeah, pulls you away from your job. Have you known anybody who's done that? Oh, yeah. No, it's I've seen it at bigger successfully, much bigger company.

I think what usually happens is somebody you see it if you're running a referral program, you see that somebody has shown up a lot, and then you're like, wait a minute, and then you go and you look at their performance and you go, wait a minute, and then somebody goes inevitably, wait a minute, and you start connecting all the dots. And usually at that point in time, somebody has a conversation, pulls that person aside and has a conversation with them. That's okay, just FYI. You'll have to do your job.

We hired you to do something, do the thing. But partnership agreements are good. Then the other thing too is if you're a solo person or you're going solo, I think the other thing too that people don't realize is you really have to love what you do because you're just spend only 20 to 30 percent of your time doing that thing. Because the other third 70% of the time is gonna be doing biz dev work.

And so one of the things that can be really helpful if you've built a really good relationship with these brands and you're going solo is getting an integration partner or implementation partner agreement in place too. Because these brands, if you're a very good brand ambassador, will feed you business. And that at least in your first year or two, can make all the difference in the world between you having an okay year or you having a an okay to a bad year or having a very, very good year because literally you they built you, they build you your runway until you've got your branding in and you've built credibility and you have enough referrals.

And then the final thing that I would say is don't be afraid to partner up with somebody who already has an established brand if they'll take you on and teach you. And to that end, too, I think one of the things that people don't totally understand is the consultant market. A lot of people know other people. And so, especially on the recruiting operations side, there are a lot of consultant recruiters who don't want to have to do the operations work, they just want to go in there and they want to put butts and seeds.

So if they have someone like you and they know you, they can refer you. And so you can follow along in this very symbiotic relationship because inevitably somebody's gonna say, Hey, do you know a great recruiter, or do you know a great people operations person or a great head of fractional head of whatever? And you go, Yeah, actually, you open it up and you refer them and you get referral agreements going in place with those things. So there's there's a big market there that shows up.

And I think going back to your initial point, I think the newsletter certainly helps my business because people see it in my space every week. And people, it helps you to develop a lot of credibility. People want to talk to you, brands want to have their names featured. And to your point, the other thing too is and this is the dark side of neutrality, is if you come out the gate neutral, it's a lot harder than coming out the gate as a huge supporter of a one uh of a tool.

Yeah, I mean, you have to almost fight to be neutral and gain. Particularly if you want to partner up with brands, and that's like what's interesting right now because it's so I own two companies and I have the podcast, and one of my companies is an embedded recruiting and RPO firm, the other one is June, which is an AI interviewing product, and then I have the podcast. And as you can imagine, both my companies sponsor the podcast, and then we have a couple other partnerships we're onboarding to help with that as well.

But yeah, I've just had to be very clear with any partners that we bring on. It's like, look, we're not exclusive, we're not doing that. And we'd love to partner up with you on this, and at the same time, we're gonna make recommendations based on my expertise. Ultimately, that's my brand.

I'm not there's no, and there's been a couple times where I spoke with not gonna name the name, but they didn't really love that. They didn't love the idea of they're like, if we're gonna be partnering on XYZ, then we want you're also gonna be potentially recommending our competitor. It's like, look, yeah, it just depends, like if that's okay with you or not. Like, I totally understand, but just like I would I I'm gonna recommend the best company to the right person.

To me, that's critically important because I unfortunately I am so plugged in through the podcast, it gives me access to like all of these different companies and products and solutions. And I think it's it's definitely important to stay neutral as a when you have a job similar to ours, we're in we do different things, but similar in a lot of ways in some respects. And I think it's like this can be associated, but I think people also have to trust that you'll make recommendations outside of the brand affiliation that you have, right?

Like, yeah, and I think it there's a thing in that there's an element into that is brands have to brands aren't ATMs, and they have to protect themselves too, which is a thing that will definitely happen. And so within all of that, you do have to be very clear that it's when they when brands get upset, they say, Why didn't you recommend us for this or why didn't you recommend us for that? You have to be very clear with them that, like, look, you this was not the ICP. The customer was not the ICP.

Or I've certainly run into this a number of times where businesses have been like, I've heard you say negative things about us. And it's I'm not saying negative things about you. What I'm saying is that you might not be the right fit based on the information that has been shared with me. I'm saving you churn.

I'm saving. Yeah. But it's like I'm saving you the headache of dealing with with this candid with this company that isn't the right fit. And you are not a company that is the right fit for everything.

And that's also can be very hard. Yeah. So it works out. So hey Jeremy, so what's the the rest of 2026 look like for you?

What are you gonna be working on over the next few months? A lot of implementation work. I've got something fun that I think I'm gonna be able to cook up in lovable. Yeah, what are you working on?

Oh, come on, man, tell us. No one can say, no, I'm not saying that I'm committed to this, but I thought it would be fun to do a situation create a game that is like a situation simulator of certain recruiting operations things that people do. I thought it'd be fun to do an RPG like rec ops thing, and I thought I could do it in Level Bowl, so I need to play with that a little bit. Dude, let me know when you do if you want somebody to check it out.

We'll do, we'll do. Yeah, no, it's just something creative and fun for the whimsy. Yeah, there you go. Nice, nice, good stuff, man.

Hey, Jeremy, look, this has been a lot of fun. I'm really grateful that you came on the show today and shared some about yourself and your expertise. And we have a lot of talent leaders tuning in. So just for everybody tuning in, I definitely recommend giving Jeremy an opportunity to talk to you about his solutions and how he can help.

And Jeremy was also introduced by somebody that I know pretty well and respect a whole lot over at Zendesk. So that's if you remember Everett, who's who initially used. Yeah, good people. Anyways, Jeremy, thank you.

Thanks for coming on today. Definitely, and I would say too, look, definitely reach out if you just want to talk about recruiting operations and TA operation stuff. This is the stuff that I enjoy. So find me on LinkedIn, find me on my Substack, and definitely always feel free to just reach out and ask questions.

Yeah, and we're gonna we'll drop your LinkedIn profile in the description of the episode for everybody. So perfect. Cool. Thanks, everyone.

Thank you.

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