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Ranked by who can help most — start at the top

The candidate

Jordan Lee

Mid-level6 yrs· Software Engineer

Strengths

Frontend development (React, TypeScript)Full-stack web developmentPerformance optimizationUX implementation

Skills

ReactTypeScriptJavaScriptNode.jsExpressNext.jsPostgresREST APIs

Top matching roles

· ranked by fit + referral potential
#1
72

Founding Product Engineer · Stealth AI Startup

Jordan is a technically solid full-stack engineer with strong React/TypeScript/Next.js credentials and real production impact. She checks most of the technical boxes for this role. The critical gap is AI/LLM experience — this is a founding role at an AI startup, and there is zero signal of ML, LLM integration, or AI product work in her profile. Her startup exposure is also limited to established product companies, not zero-to-one founding environments. She's a strong candidate on the engineering side but a risky bet on the AI-native and founding-context dimensions.

✓TypeScript and React are her core stack — directly matches the primary required skills✓Next.js and Postgres experience aligns with preferred skills explicitly listed
#2
72

Full-Stack Engineer · Ramp

Jordan is a solid mid-level full-stack engineer whose core technical stack (React, TypeScript, Node.js, Postgres, REST APIs) maps directly onto Ramp's requirements. She has real production experience at scale and a demonstrated ability to ship end-to-end features. The primary gap is GraphQL — a listed required skill — and zero fintech, payments, or ledger domain experience, which is a meaningful disadvantage for a company where domain context shapes engineering decisions daily.

✓TypeScript and React are her primary frontend stack, matching Ramp's core frontend requirements exactly✓Node.js + Express + Postgres backend experience directly satisfies the API and schema design responsibilities
#3
62

Senior Frontend Engineer · Linear

Jordan is a solid mid-level full-stack engineer with strong React/TypeScript fundamentals and a proven track record in performance optimization. She meets the baseline technical bar for this role, but Linear is a high-craft, engineering-intensive product company known for extreme attention to detail, real-time sync complexity, and keyboard-first UX. Jordan's profile lacks signals in several areas Linear specifically values: accessibility, design systems, real-time/WebSocket experience, and any advanced frontend architecture work. She's a plausible candidate but would likely be screened as mid-level rather than senior by Linear's standards.

✓React and TypeScript are her primary stack — directly matches Linear's core frontend requirements✓Demonstrated performance optimization with measurable results (45% load time reduction via code-splitting and memoization) maps directly to the 60fps interaction requirement

Why this is the #1 match — Founding Product Engineer @ Stealth AI Startup

72
Match score

Jordan is a technically solid full-stack engineer with strong React/TypeScript/Next.js credentials and real production impact. She checks most of the technical boxes for this role. The critical gap is AI/LLM experience — this is a founding role at an AI startup, and there is zero signal of ML, LLM integration, or AI product work in her profile. Her startup exposure is also limited to established product companies, not zero-to-one founding environments. She's a strong candidate on the engineering side but a risky bet on the AI-native and founding-context dimensions.

Interview odds (cold apply)28%
Referral upside55%

Why you're a good fit

  • Her exact tech stack (React, TypeScript, Next.js, Postgres, Node) maps cleanly to what the role needs — zero ramp-up time on tooling
  • Demonstrated ability to ship production features used by tens of thousands of users — not a junior engineer learning on the job
  • Performance optimization work shows she thinks beyond feature delivery to engineering quality
  • Full-stack capability means she can own entire features end-to-end without depending on others — critical for a small founding team
  • SaaS and B2B industry background is directly applicable to most AI startup GTM contexts

Why you might be rejected

  • LLM/AI experience is a hard requirement for an AI startup's founding engineer — its complete absence is a significant disqualifier
  • No zero-to-one or early-stage startup experience makes her a higher risk hire for a founding role where ambiguity tolerance is critical
  • No side projects or personal shipping history — founders often filter heavily on this as a signal of intrinsic motivation
  • Mid-level title at current company may signal she hasn't yet operated at the seniority level this role demands
  • Stealth AI startups typically prioritize candidates with AI ecosystem exposure to move fast on core product bets

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