* initial commit * format links right jobops.dakheera47.com/cv/shaheer-google-de * don't support legacy * remove phishing look * smaller links * readiness check in settings * rework UX * right col * pop a modal * modal improvements * show links * documentation disclaimer * fix(tracer-links): preserve descriptive resume link labels * fix(tracer-links): classify bot user agents before browser families * fix(tracer-links): reject non-http redirect destinations * fix(tracer-redirect): disable caching for tracked redirects * fix(origin): prefer canonical public base url over forwarded headers * fix(auth): protect tracer analytics routes behind basic auth * fix(ui): rename misleading tracer drilldown human metric * style(tests): format tracer-links invalid-destination assertion * fix(tests): prevent mocked fs from breaking sqlite data-dir resolution * style(docs): format versioned docs json for biome * fix(tests): mock tracer-links in pdf skills validation suite
100 lines
3.1 KiB
Markdown
100 lines
3.1 KiB
Markdown
---
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id: find-jobs-and-apply-workflow
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title: Find Jobs and Apply Workflow
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description: Recommended end-to-end pre-application workflow from pipeline run to marking jobs as applied.
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sidebar_position: 1
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---
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## Goal
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This guide documents the main intended pre-application workflow in JobOps.
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If you follow this order, you get the strongest results from discovery, scoring, tailoring, and tracking.
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## Recommended flow (in order)
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### 1) Run a pipeline first
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From the **Jobs** page, use the top-right pipeline/run control.
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What this does:
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- fetches jobs from enabled extractors
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- scores relevance against your resume/profile
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- optionally tailors top jobs and prepares PDFs
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Important:
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- Some scrapers are slower and can take significant time.
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- Larger scrape ranges and more sources increase run duration.
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### 2) Configure pipeline advanced settings
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In pipeline advanced settings, configure:
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- how many jobs to discover (approximate target)
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- minimum score threshold for tailoring
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- how many jobs should be tailored/generated
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This directly controls how many jobs appear downstream in `discovered` and `ready`.
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### 3) Review the `Discovered` column
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After the run, `discovered` is populated with jobs found by extractors.
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For each discovered job:
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- review the suitability score
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- read the AI fit justification in **Fit Assessment**
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- decide whether the opportunity is worth advancing
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### 4) Work from `Ready` for applications
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`ready` jobs are the primary application queue.
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These jobs already have tailored PDFs generated for the specific job description, using the workflow described in [Reactive Resume](../features/reactive-resume).
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At this stage:
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1. Open job details.
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2. Optionally enable tracer links for that specific job.
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3. Download the tailored PDF.
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4. Submit your application externally.
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### 5) Mark jobs as applied in JobOps
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After submitting, return to JobOps and mark the job as `applied`.
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Effects:
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- job moves to the `applied` state
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- configured completion webhook(s) are triggered
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- job is included in overview analytics
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This completes the detailed pre-application loop.
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## What happens next
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Once a job is marked `applied`, it becomes part of:
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- pipeline outcome analytics on [Overview](../features/overview)
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- optional post-application workflows (inbox/review routing)
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## Practical tips
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- Start with conservative run sizes while tuning sources.
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- Increase tailored-job count only after score thresholds feel calibrated.
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- Expect scraper runtime variance by source.
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- Keep resume/project context up to date so scoring/tailoring quality stays high.
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- Use per-job tracer links when you want measurable outbound-link analytics.
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- If you use tracer links, review the risk note in [Tracer Links](../features/tracer-links): some recipients/security tools may treat redirects as suspicious.
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## Related pages
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- [Orchestrator](../features/orchestrator)
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- [Reactive Resume](../features/reactive-resume)
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- [Settings](../features/settings)
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- [Overview](../features/overview)
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- [Post-Application Workflow](./post-application-workflow)
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- [Post-Application Tracking](../features/post-application-tracking)
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