Roles We Specialize In

We eliminated the bloated agency model. No massive sales teams, no account manager layers, no corporate markups. You work directly with experienced recruiters who focus on finding great candidates, not maximizing commissions. Our flat-rate structure means predictable costs and aligned incentives. We're motivated to find the right person, not just close a deal.

We've built a streamlined process that combines advanced sourcing technology with rigorous human vetting. Our approach identifies hundreds of potential matches quickly, then we personally screen each one against your technical requirements and culture fit. The candidates you see have already passed our internal evaluation. You're not getting a fire hose of resumes, you're getting 5-7 people who can ship code, solve your problems, and scale with your team.

For Portfolio Builder: We use your feedback to refine the search criteria and help you clarify what you're looking for. While Portfolio Builder includes one delivery of 5-7 candidates, we'll discuss next steps if none are the right fit.

For Growth Package: We iterate immediately. With unlimited submissions per role (up to 15 candidates), we keep refining based on your feedback until we find someone who fits. Your input after each round helps us zero in on exactly what you need.

Portfolio Builder ($2,500): No replacement guarantee. You're getting quality candidates at an aggressive introductory price in exchange for helping us build case studies.

Growth Package ($5,995): Full 90-day replacement guarantee on all placements. If any hire doesn't work out in the first 90 days (for any reason - performance, culture fit, or mutual decision), we reopen that search at no additional cost.

Enterprise & Custom: Replacement terms negotiated based on your engagement structure.

We specialize in technical hiring: AI Engineers, ML Engineers, Data Scientists, Backend/Frontend/Full-Stack Developers, Data Analysts, and Platform Engineers. That's our core expertise. However, we're open to supporting other critical roles (marketing, operations, finance) as your needs evolve. If you need help outside our technical specialty, we'll be upfront about whether we're the right fit.

Every candidate undergoes a multi-stage evaluation:

• Technical assessment: Hands-on experience with your tech stack, problem-solving ability, and whether they can ship at your pace
• Communication screening: Can they explain complex concepts clearly? Will they collaborate effectively with your team?
• Culture and stage fit: Do they thrive in ambiguity? Can they handle startup pace or enterprise structure?
• Reference validation: We verify employment history and past performance

You only see candidates who pass all these checks. No filler, no maybes.

We spend 15-30 minutes understanding what you're actually building and who you need to build it. We dig into your technical stack, team dynamics, hiring timeline, and the specific problems this hire needs to solve, not just a generic job description. We also provide salary benchmarking data so your offer is competitive without overpaying. By the end of the call, we'll have a clear candidate profile and timeline for delivery.

Yes. Growth Package supports up to 3 active searches running in parallel, with 7-10 day delivery per role. Enterprise & Custom can handle unlimited concurrent searches with custom timelines based on your volume and urgency.

Sure, you could use LinkedIn Recruiter, ChatGPT, and other AI tools to source candidates, but here's what happens next:

You spend 10+ hours per week sorting through profiles that look good on paper but can't actually do the job. You schedule screening calls with candidates who ghost you or fail your technical interviews. You waste engineering time on candidates who bomb the coding assessment. And three months later, you're still searching while your product roadmap slips.

Here's what we do differently:

1. Human expertise filters out AI noise
AI tools can find resumes. We validate actual ability. Our recruiters have placed hundreds of technical hires and know the difference between someone who lists "Python" on their resume and someone who can architect scalable systems. We conduct technical screens, reference checks, and culture fit assessments, so you only interview candidates who can actually do the work.

2. Speed that compounds
While you're spending 15 hours this week screening candidates, we're already presenting you with vetted, interview-ready talent. That's not just time saved, it's revenue you didn't lose, product launches that didn't slip, and competitors you stayed ahead of. In startups, speed is everything.

3. Access to passive talent
The best candidates aren't active on LinkedIn. They're happily employed but would move for the right opportunity. We have relationships with senior engineers and revenue leaders who trust us to bring them opportunities they'd never see in a job posting. You can't LinkedIn your way into those conversations.

4. Flat-rate pricing beats the alternatives
An internal recruiter costs $80-120K + benefits + tools. Agency fees are 20-25% of salary ($20-40K per hire). We charge a predictable flat rate with unlimited searches—and you get results faster than either option.

AI tools are commodities. Judgment, speed, and relationships aren't. We use AI to source faster, but humans to ensure you don't waste time on the wrong people.

Your recruiting team is likely managing 25-40 open roles right now, everything from entry-level hires to executive searches. They're great at what they do, but they're spread thin. When a critical senior ML engineer role or VP of Sales position sits open for 90+ days, it's not because your recruiters aren't good. It's because they're juggling too much and may not have deep expertise in highly specialized technical roles.

We work alongside your team as specialized reinforcement for your hardest-to-fill positions. Think of us like bringing in a specialist consultant when your generalist team needs backup on complex, time-sensitive hires.

If you don't have internal recruiters:

You're asking hiring managers to DIY recruitment on top of their actual jobs. Your VP of Engineering is spending 15 hours a week screening candidates instead of building product. Your revenue leader is reviewing 50 LinkedIn profiles instead of closing deals. That's expensive in ways that don't show up on an invoice.

Deep technical and industry expertise: We can assess whether a senior data engineer actually knows what they're doing, not just whether their resume looks good. Most generalist recruiters can't evaluate technical depth at this level.

A curated network of passive talent: The best candidates aren't scrolling LinkedIn jobs. They're happily employed but would consider the right opportunity if someone they trust (us) brings it to them. You can't LinkedIn your way into those relationships.

Speed and focus: We're handling 1-3 searches for you, not 40. We move faster because we're not context-switching across completely different roles. You get vetted, interview-ready candidates in 7-10 days instead of sorting through noise for months.

Validation that tools can't provide: AI can surface resumes. It can't tell you if someone will actually ship code, hit quota, or fit your culture. We conduct technical screens, reference checks, and deep vetting before anyone hits your calendar.
The real cost comparison:

The real cost comparison:

Internal recruiter: $90-120K + benefits + tools + 2-3 months to ramp

Traditional agency: 20-25% of salary per hire ($25-50K each placement)

Us: Flat-rate pricing with unlimited searches, faster results, specialized expertise

Portfolio Builder: One-time engagement. No cancellation needed.

Growth Package: One-time package for up to 3 roles. Once purchased, we work until all 3 roles are filled or you decide to stop.

Enterprise & Custom: Terms negotiated based on your engagement structure. We build flexibility into our agreements.