Roles We Specialize In

We eliminated the bloated agency model. No massive sales teams, no account manager layers, no corporate markups. You work directly an experienced recruiter who focuses on finding great candidates, not maximizing commissions.

AI + human expertise = efficiency:
We use AI-powered tools to source candidates 10x faster than traditional methods, but we personally prescreen every single person before they reach you. That means you get speed AND quality—not just a flood of resumes.
Our flat-rate structure means:

• Predictable costs: You know exactly what you'll pay before we start ($8,500 for junior, $12,500 for mid-level, $17,500 for senior)
• Aligned incentives: I'm not motivated to inflate salaries to boost my fee. We are focused on finding the right person at fair market compensation
• No percentage games: Traditional agencies make more money when salaries go up. We charge the same whether your offer is $140K or $180K

We work efficiently using modern tools, then pass those savings to you. You get senior-level recruiting expertise at 50-60% less than traditional agency fees—with a human touch at every stage.

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 8-12 people who can ship code, solve your problems, and scale with your team.

We iterate based on your feedback.

The first batch helps us calibrate on exactly what you're looking for—technical skills, experience level, culture fit, communication style. If none of the initial candidates are the right fit, we use your feedback to refine our search and deliver a new batch.

Here's how it works:

1. Initial delivery: We present 8-12 pre-screened candidates in the first 3-4 weeks
2. Your feedback: You tell us what's missing—too junior, wrong tech stack, not enough leadership experience, etc.
3. We adjust: We refine the search criteria and deliver another batch within 1-2 weeks
4. We keep going: We continue iterating until we find the right person

You're not paying per batch—you're paying per successful hire. So we're incentivized to get it right, not just to fill a quota.

90-day replacement guarantee on all placements.

If any hire doesn't work out in the first 90 days, whether due to performance issues, culture fit concerns, or mutual decision—we'll reopen that search at no additional cost to you.

Our pricing:

• Junior Engineers (0-3 years): $8,500
• Mid-Level Engineers (3-7 years): $12,500
• Senior/Staff/Lead (7+ years): $17,500

You only pay once per successful placement. If we need to replace a candidate within 90 days, there's no additional fee. We simply find you the right person.

Why we offer this: We're confident in our vetting process and want you to feel secure in your investment. Great hires should stick, and if they don't, we'll make it right.

We specialize in AI/ML talent. That's our core expertise and where our flat-rate pricing applies. We also support data engineers, software engineers (backend, frontend, full-stack), and platform engineers.

Beyond technical roles, we're open to helping with critical startup positions like product, operations, or growth. But we'll be upfront if a role falls outside our sweet spot.

Our flat-rate pricing is specifically for AI/ML roles; other positions are handled on a custom pricing basis.

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. For AI/ML roles:

• Junior tier: One role at a time
• Mid-Level tier: Up to 3 active searches running in parallel, with 3-4 week delivery per role
• Senior tier: Unlimited active searches with custom timelines based on your volume and urgency

For data engineering, software engineering, or other technical roles, we offer custom packages that can handle multiple concurrent searches based on your hiring needs.

You could spend 10+ hours per week sorting LinkedIn profiles, scheduling calls with candidates who ghost you, and wasting engineering time on people who bomb technical interviews. Three months later, you're still searching while your roadmap slips.

We deliver different results because:

• Human validation: AI finds resumes. We validate ability. You only interview candidates who can actually do the work—technical screens, reference checks, and culture fit done before they reach you.
• Speed: While you're screening for 15 hours this week, we're presenting vetted, interview-ready talent in 3-4 weeks. Speed = revenue you didn't lose and launches that didn't slip.
• Passive talent access: The best AI/ML engineers aren't on LinkedIn. They're happily employed but open to the right opportunity. We have those relationships—you don't.
• Better economics: Internal recruiter costs $80-120K/year. Traditional agencies charge $22-38K per hire. We're $8,500-$17,500 flat rate with faster results.

AI tools are commodities. Judgment, speed, and relationships aren't.

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 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 AI/ML 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 CTO is reviewing 50 LinkedIn profiles instead of focusing on architecture. That's expensive in ways that don't show up on an invoice.

Deep technical and industry expertise: We can assess whether a senior ML 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 3-4 weeks 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:

• Internal recruiter: $90-120K + benefits + tools + 2-3 months to ramp = $104K-156K/year for 3-5 specialized hires
• Traditional agency: 20-25% of salary per hire = $22K-38K each for AI/ML roles
• Us: $8,500-$17,500 flat rate per placement, 3-4 week delivery, specialized AI/ML expertise

Flexibility built in:

We work on a pay-per-placement basis. No retainers, no upfront fees, no long-term contracts. You only pay when we successfully place someone.

Need to pause a search? Just let us know. We can pause and resume based on your hiring timeline and budget.

Want to cancel? No penalties. If priorities shift or the role gets put on hold, you're not locked into anything. We only succeed when you do—so we build flexibility into every engagement.

For volume partnerships: If you're planning multiple hires over 6-12 months, we can discuss custom terms that give you even more flexibility with volume discounts (10-15% off for 2+ placements).