Refery vs Jack & Jill: Curated Referrals vs AI-Screened Engineering Hiring
Refery and Jack & Jill take different approaches to engineering hiring. Refery uses a curated network of 300+ operator-scouts and partner recruiters to source senior engineering candidates through warm referrals, charging 15-20% of base salary. Jack & Jill uses AI-driven screening combined with human verification to surface engineering candidates at a $20,000 flat fee per placement.
This post compares both platforms across cost, sourcing model, candidate quality, and which one fits which hiring scenario.
The fast answer: when to pick which
| Use case | Better fit | |---|---| | Senior IC engineering ($300K+ base) | Refery | | Founding engineer at seed-stage | Refery | | Mid-level engineering ($150K-$220K base) | Jack & Jill (cost wins) | | Cost-constrained seed startup, 1-2 hires | Jack & Jill | | Staff, Principal, or Director engineering | Refery | | Engineering Manager or VPE | Refery | | Senior GTM hires | Refery (Jack & Jill is engineering-only) | | Volume mid-level eng hiring at Series A | Either, with cost favoring Jack & Jill |
Side-by-side comparison
| Variable | Refery | Jack & Jill | |---|---|---| | Fee structure | 15-20% of base salary | $20,000 flat fee | | Sourcing model | 300+ operator-scouts + partner recruiters | AI screening + human verification | | Network composition | Founders, investors, senior operators, vetted recruiters | AI-screened candidate pool | | Role focus | Senior eng + GTM | Engineering only | | Stage focus | Seed to Series B VC-backed | Seed to Series A | | Geography | SF and NY primarily | US-wide | | Vetting signal | Operator personally vouches | AI screening + human review | | Median time-to-fill | 38 days (senior eng) | Variable, AI-paced sourcing | | Replacement guarantee | 90 days | Varies | | Best for | Senior + executive engineering and GTM | Cost-sensitive mid-level engineering |
Cost comparison: where the math breaks
Jack & Jill's $20K flat fee is the headline difference. The math on whether it actually wins depends on the role's base salary:
| Hire | Base salary | Refery (15%) | Refery (20%) | Jack & Jill ($20K flat) | Cheapest | |---|---|---|---|---|---| | Junior engineer | $140K | $21K | $28K | $20K | Jack & Jill (just) | | Mid-level engineer | $200K | $30K | $40K | $20K | Jack & Jill | | Senior engineer | $300K | $45K | $60K | $20K | Jack & Jill (on cost) | | Senior engineer (top end) | $350K | $52.5K | $70K | $20K | Jack & Jill (on cost) | | Staff engineer | $400K | $60K | $80K | $20K | Jack & Jill (on cost) | | Principal/VPE | $500K+ | $75K+ | $100K+ | $20K | Jack & Jill (on cost) |
On pure cost, Jack & Jill always wins for engineering hires above ~$135K base salary.
But cost is one variable. The actual decision is cost vs candidate quality and signal for the specific role.
Where Refery wins despite higher fee
Senior IC engineering ($300K+ base): warm-referral signal matters more than cost. The $25-40K fee premium buys 78% interview-to-offer rates vs typical AI-screened conversion rates, and access to candidates who are not in any database.
Founding engineer at seed-stage: the role requires range, risk-tolerance, and zero-to-one experience that warm-referral signal captures better than structured AI screening. Refery's data shows 84% retention at 18 months for warm-referral founding engineer placements.
Staff and Principal engineering: candidates at this level are often passive and not in active job-search mode. They surface through trusted operator intros, not AI sourcing.
Engineering Management and VPE: leadership hires require deep reference work and operator-network signal. AI screening is structurally weaker for evaluating leadership.
GTM hires: Jack & Jill is engineering-only. Refery covers senior GTM through the same operator-scout network.
Where Jack & Jill wins
Mid-level engineering hires at cost-constrained startups: a seed-stage startup making one or two engineering hires at $180K-$220K base saves $10K-$30K per hire vs Refery's percentage-based fee.
Volume mid-level engineering at Series A: a Series A startup hiring three or four mid-level engineers per quarter can save $40K-$120K per quarter on the flat-fee structure.
Roles where consistent screening matters more than network signal: certain engineering profiles (clear technical bar, standard skillset, mid-range comp) work well with structured AI screening because the signal is more skill-driven than network-driven.
Sourcing model differences
Refery's warm-referral model: 300+ operator-scouts and partner recruiters submit candidates from their personal networks. Each submission carries a referrer's personal vouch. Top-of-funnel is smaller (5-15 candidates per role) but signal-dense.
Jack & Jill's AI-driven model: candidates are sourced through AI evaluation of public data, technical assessments, and structured screening. Top-of-funnel is larger but each candidate carries less personal context.
The two models are not better or worse in absolute terms; they fit different role profiles. Warm-referral signal compounds for senior and leadership roles. AI screening produces consistent baseline quality for well-defined IC roles.
Candidate experience differences
Refery candidates come in through warm intros from people they know and trust. The pitch context is high (the referrer vouched for the company), conversion to engagement is high, and the candidate is typically passive (not actively job-searching).
Jack & Jill candidates come in through active screening: they applied or were sourced, completed assessments, and entered the candidate pool. They are typically actively job-searching, which changes the conversion dynamics but produces faster-moving candidates.
For passive senior talent (the bulk of the best senior engineers in any market), warm-referral channels produce dramatically higher engagement rates than cold sourcing.
What the data shows on senior engineering placements
Refery 2026 placement data, n=412 senior engineering placements:
- Interview-to-offer rate: 78%
- Retention at 12 months: 93%
- Candidate passive at time of submission: 81%
Comparable AI-driven sourcing platforms (publicly reported):
- Interview-to-offer rate: 40-55%
- Retention at 12 months: 75-85%
- Candidate passive at time of submission: 35-50%
The structural difference in candidate passivity (81% vs 35-50%) explains most of the signal difference. Warm-referral channels reach candidates who are not in any database because they are not looking.
The bottom line
Refery and Jack & Jill solve different problems within engineering hiring. Refery's warm-referral marketplace is the right fit for senior, staff, principal, EM, director, and VP-level engineering hires (and senior GTM) where warm signal and passive-candidate reach matter. Jack & Jill's flat-fee AI model is the right fit for cost-sensitive mid-level engineering hires where structured screening at scale beats percentage-based fees.
For founders making the choice: if the role is $300K+ base or requires leadership/senior signal, the $25-50K Refery premium pays back in candidate quality and conversion. If the role is mid-level engineering and cost is the dominant constraint, Jack & Jill's $20K flat fee is structurally hard to beat.
Refery places senior engineers and GTM leaders at VC-backed startups (seed to Series B) through 300+ operator-scouts and partner recruiters. 15-20% success fee, no retainer, 38-day median time-to-fill.