Michael C. Bertoni, Founder-CEO, SaaS Talent
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If you are a SaaS, AI or tech leader hiring right now, the firms worth your time are the ones that live and breathe in the SaaS, AI, tech and GTM startup niche full-time, not the generalist agencies that recruit for the Fortune 1000 on Monday, construction on Tuesday, accountants on Wednesday, sales on Thursday and developers on Friday.
The strongest recruiting firms for SaaS in 2026 are SaaS Talent, Captivate Talent, Betts, Riviera Partners, HireDNA, Talentfoot, People in AI and GoGloby. Below is who each one is actually for, so you can pick the right partner in five minutes instead of five weeks.
Quick disclosure up front, because it matters: I founded SaaS Talent. I am still putting this list together honestly and including the firms I respect, because a roundup that only names the author is worthless to you and obvious to everyone. So here is the real landscape.
The bar I used: At least 70% specialization
Here is the filter. To make this list, a firm has to spend at least 70% of its time recruiting inside the AI, SaaS and tech world. Not "we have a tech vertical." Not "we placed a GTM or salesperson once." This is their lane, and they are focused on it every day.
This bar matters more than most SaaS / Tech founders realize. When you are hiring a AI-First GTM Marketer, AI Automation Engineer, Founding Account Executive (AE), Sales Development Rep (SDR) or a Head of Customer Success (CSM) who can drive revenue, dramatically increase productivity or reduce costs, you do not want a recruiter learning your world on your dime.
You want someone who already knows the difference between a SDR and an enterprise AE rep working year-long cycles. You want someone who understands fire in the belly, passion, onboarding, ACV, making 150 calls a day, equity-heavy comp and what a bootstrapped, seed or series A budget can actually afford for new hires.
A bad hire at a 10-person startup is not a setback. It can be the whole year. Specialization is how you lower the risk significantly.
Full-spectrum SaaS, Tech, GTM and AI hiring in the U.S. plus nearshore LATAM
SaaS Talent
Yes, this is my company, so weigh it accordingly. Here is the honest pitch for where we fit. We are built specifically for AI, SaaS and tech companies, and we are one of the only firms that covers the full team under one roof: GTM hires (senior hires, SDR, BDR, AE, CSM, sales, marketing, EA) and technical hires (AI engineers, full-stack, front-end, back-end, product, UX). We pair elite US and Canada leadership with cost-effective nearshore LATAM teams in your time zone, so you can scale a revenue team and an dev team at the same time without juggling agencies.
We also have GTM growth coaching, which most recruiting firms do not touch. Founded in 2015, 11+ years old, 35+ people, 100+ clients, a bench of 40+ ready-to-deploy pros, a standard 90-day replacement guarantee and flexibility built for tech companies.
Best for: Founders who need to build across GTM, AI and engineering at once, want a nearshore Latin America option to stretch budget, and want one partner instead of five. If you're serious about growth and want a long term strategic partner, we're for you.
SaaS GTM and revenue
Captivate Talent
They are a firm closest to what we do on the GTM side and a genuinely strong one. They are SaaS and tech focused, work on revenue roles across sales, marketing, customer success, and RevOps, with both an executive team and an IC team. They place in the US and Canada.
Best for: US and Canada revenue hiring, exec or IC, when you want a high-touch, consultative partner. Note that they do not recruit engineers, product, or finance, so for more technical roles you will need to work with another firm.
Betts Recruiting
One of the more established names in GTM. Purpose-built for sales, marketing and customer success at SaaS startups, and they understand quota math, ACV and how product maturity shapes the right sales motion. They move fast on higher-volume needs.
Best for: Building or scaling a team from a first AE pod up through VP of Sales and CRO.
HireDNA
A tech sales recruiting platform with a data-driven spin. They lean on assessments and a structured matching score to cut mis-hires and report strong retention on placements. Roles center on SDRs, AEs and CSMs.
Best for: Sales-heavy hiring where you want assessment data behind every candidate.
Talentfoot
A boutique focused on SaaS and digital leadership: CROs, CMOs, VPs of Sales, and senior tech leaders. Founded in 2010, NA focused, known for precision on searches.
Best for: SaaS executive and leadership search when you need one critical hire done right.
AI and engineering
Riviera Partners
The go-to for technical leadership search. They focus on engineering, product, and data leaders for high-growth tech, the VP of Engineering, CTO and Head of Product hires that set your delivery velocity. They are an executive search shop, so this is leadership, not IC volume.
Best for: A pivotal technical leadership hire where getting it wrong is expensive.
People in AI
A specialist focused on artificial intelligence, machine learning, and data science hiring across the US and Canada. If you are scaling an ML platform team or hiring your founding ML engineer, they speak the language.
Best for: Pure AI, ML, and data science roles, from founding engineer to AI leadership.
Nearshore LATAM
GoGloby
I am including a direct competitor to our LATAM lane on purpose, because honesty is the point of this list. GoGloby pairs SaaS and tech companies with nearshore Latin America talent across sales, product, engineering and leadership, often filling roles in a few weeks with cost savings.
Best for: US companies that want nearshore LATAM hiring at volume.
Honorable mentions (Not at least 70%)
- Sales Talent Inc. One of the longest-running software sales recruiters, top-rated on G2. Deep on SaaS sales, though they also place across other B2B verticals, so they sit just outside the strict 70% SaaS-only bar.
- Razoroo and Scion Technology. Solid AI and ML technical recruiters if People in AI or Riviera are not the right fit.
Frequently Asked Questions (FAQ)
What should I look for in a SaaS recruiting firm? Deep, current focus on AI, SaaS and tech, the specific GTM, AI and tech roles you are hiring, time-zone alignment with your candidates, a clear replacement guarantee and a fast first candidates (about 2-3 weeks).
How much do SaaS recruiting firms charge? Most retained and contingency recruiting runs roughly 15 to 25% of first-year base salary, often with a portion drawn as a monthly retainer across the search and the balance as a success fee. Nearshore staff augmentation is usually priced as the professional's salary plus a monthly markup. Always confirm the model and the guarantee in writing.
Should I use a SaaS specialist or a generalist? A specialist. For early and growth-stage SaaS, AI, and tech, the cost of a bad hire is too high to hand the search to a recruiter who is learning your market while they bill you.
Can one firm handle both GTM and engineering hires? Most cannot, which is why founders end up managing several agencies. The full-spectrum firms that cover revenue and technical roles together are rare and that's the gap SaaS Talent was built to close.
Michael C. Bertoni is the Founder and CEO of SaaS Talent, a recruiting and GTM growth agency built specifically for AI, SaaS, and tech companies, pairing elite US and Canada leaders with cost-effective nearshore LATAM teams. Want a straight read on your next hire? Book a free strategy session.
More About Michael C. Bertoni
Tap CONTACT US to set up a strategy session.
Michael C. Bertoni is the Founder and CEO of SaaS Talent and a long-time builder in the SaaS and tech ecosystem.
For more than 25 years he has worked alongside founders, executives and leadership teams to help SaaS / tech scale revenue through better talent and GTM systems.
His work spans go-to-market strategy, sales, business development, talent architecture and AI-first organizational alignment.
Michael is known for challenging traditional hiring models and helping SaaS leaders rethink how companies are built in a AI-driven world.