Startup Recruiting Guide
Why traditional 25–30% agencies fail Seed–Series C startups
By Arshnoor Kohli, Founder, Vektor
Last updated
Published · 4 min read
Direct answer
Traditional agencies often charge 25 to 30% with 6 to 10 week cycles built for large-company TA. Seed through Series C startups need faster fills, lower forecastable fees (commonly 18 to 25% pay-on-start), and partners who stay accountable after placement, including replacement guarantees.
Traditional search economics were built for large companies. Here’s why fee structure, timeline, and incentives break down for venture-backed teams.
Traditional recruiting agencies commonly charge 25–30% of first-year salary with multi-week (often 6–10 week) cycles. That model works when the buyer is a large company with dedicated TA, long runways, and tolerance for process. Seed–Series C startups are the opposite: short runways, founder-led interviews, and every week of an open seat compounding into lost product or pipeline.
The fee problem is not just sticker price. At 25–30%, a mid-level hire can cost as much as a quarter of early ARR for a small team, while the agency’s incentive is still to fill seats, not to protect your burn. Contingency pay-on-start models flip that: you pay nothing until a candidate starts, and fees in the 18–25% range keep spend forecastable.
The timeline problem is worse. A 6–10 week traditional search can consume most of a post-raise hiring window. By the time finalists arrive, the bottleneck has shifted, the JD has drifted, or a competitor has closed the candidate. Startup-caliber search compresses sourcing with AI + networks and puts vetted finalists in front of founders in days, not months.
The accountability problem is structural. Many agencies disappear after placement. Startup teams need ramp support and a partner who will still pick up the phone when the next role opens, plus a clear replacement guarantee if the hire fails for fit or performance in the first 90 days.
If your last agency felt slow, expensive, and detached from startup reality, it wasn’t you. It was a model built for a different buyer.
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