Beyond Resume Matching: Why We Built Seeker

Most career tools start with a simple question: does this resume match this job?

Seeker starts with a different one: what careers does this person's experience naturally connect to?

That distinction isn't marketing language. It reflects a fundamentally different approach to how we think about careers, skills, and the job search process.

The problem with matching

Traditional resume matching tools compare keywords. Your resume says Python; the job says Python. Match. Your resume says "project management"; the job says "project management." Match.

This works reasonably well for finding jobs that are exactly like your current job. But it fails completely for the most important career questions:

• What else could I do with my experience?
• What roles am I qualified for that I've never considered?
• What's the realistic path from where I am to where I want to be?
• What skills am I missing for my target career?

Keyword matching can't answer these questions because it doesn't understand the relationships between different types of work. It sees "Electrical Engineer" and "Technical Program Manager" as completely unrelated. But in practice, many electrical engineers have exactly the right combination of technical depth, cross-functional coordination, and systems thinking to excel in TPM roles.

Careers are graphs, not keywords

The core insight behind Seeker is that careers are better modeled as a graph than as a list of keywords.

Every job title connects to adjacent roles through shared skills, transferable experience, and common career trajectories. An IT Support Engineer shares capabilities with a Developer Productivity Engineer. A Customer Success Manager shares skills with a Product Manager. An Operations Analyst shares experience with a Program Manager.

These connections aren't obvious from job titles alone. They emerge when you analyze the actual skills, domains, and experience levels that each role requires.

That's what Seeker does. When you upload your resume, we don't just match it against job descriptions. We analyze your complete experience profile — technical skills, leadership signals, domain expertise, collaboration patterns — and map it against thousands of open roles to find where your background naturally fits.

What you get back

For every resume we analyze, Seeker identifies:

Strong current-fit roles — jobs where your experience directly qualifies you. These are the roles you could apply to today with confidence.

Adjacent opportunities — roles in nearby career domains where your transferable skills create a realistic path. These are the jobs you might never search for but could genuinely land.

Growth paths — roles that stretch your current experience. These require skill development but align with your trajectory.

Skill gaps — specific, actionable skills that would strengthen your profile for your target roles. Not generic advice — actual gaps identified from comparing your experience against real job requirements.

What we don't do

We don't inflate scores to make you feel good. If a role is a stretch, we say so. If your resume is missing critical skills for your target career, we show you which ones.

We don't fabricate matches. Every role in your results comes from a real, currently active job posting. Every match explanation references actual skills and experience from your resume.

We don't store your data. Your resume is processed in memory, analyzed against our job corpus, and permanently deleted after your results are ready. We never build profiles, sell data, or share your information with employers.

Why this matters

The job search process is broken in a specific way: it forces people to search for what they already know they want. But the most valuable career moves are often the ones you didn't know existed.

An operations manager who discovers they're a strong fit for program management. A QA engineer who learns their systematic thinking translates directly to site reliability engineering. A marketing analyst who finds their data skills qualify them for product analytics roles.

These aren't hypothetical examples. They're patterns we observe regularly across thousands of career analyses.

Seeker exists because we believe the job search should show you the full landscape of your career — not just the narrow slice defined by your last job title.

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