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0 active Workday portals + alt-portals + contracting
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Org Editor
Org Dictionary
Map company divisions to canonical labels. Select a sub-industry, then a company.
Scoring Methodology
RingSail uses four independent scoring profiles to evaluate job-candidate fit. Compare rankings to find which model best predicts your hiring outcomes.
| Profile | Algorithm | Key Signal | Cost |
|---|---|---|---|
| Classic | Rule-based weighted scorer | Keyword matches, seniority tiers, location patterns | Free |
| Semantic | Sentence-transformer embeddings | Cosine similarity between resume and JD embeddings (all-mpnet-base-v2) | Free (local) |
| O*NET Aligned | US DOL skill taxonomy mapping | Standardized skill-occupation overlap with importance weights | Free (static data) |
| Gemini Deep | Gemini 2.0 Flash structured analysis | Multi-dimensional scoring (keywords / experience / skills / culture) | ~$0.01/job |
- All models run simultaneously on every scan — no user action required to generate comparison data.
- Gemini Deep is gated at Classic score ≥ 60 for cost control without losing coverage on promising jobs.
- Scores are 0–100 normalized across all profiles for direct comparison.
- No demographic data is collected or used in any scoring model.
- Readability is advisory only, never a scoring factor (per bias research: "Invisible Filters," arXiv 2508.16673).
- Minimum sample sizes enforced before surfacing employer-specific insights (5 for hints, 15 for recommendations).
- All insights framed as correlation, never causation.
- Recency-weighted: last 6 months weighted 2× vs older data.
- Employer patterns expire after 12 months of no new data.
Company Sorting
Quick Apply
Paste any job posting, analyze it with Gemini AI, and generate a tailored resume + cover letter.
Post a Job
Reach thousands of qualified candidates
Find Talent
Search anonymized candidate profiles by skills, level, and industry
Job Alerts
Market Intelligence
Real-time job market trends across industries
Unlock Your Full Potential
Choose the plan that fits your job search.
- Job Search + Quadrant
- Classic Scoring
- Daily Brief
- 1 Resume Upload
- Market Intelligence
- Everything in Free
- Gemini AI Scoring
- Resume Tailoring
- Cover Letters & Interview Prep
- Unlimited Resumes
- Hourly Job Alerts
- Career Pulse Score
- Everything in Pro
- API Access
- Org Chart Data Export
- Custom Scraper Setup
- Dedicated Support
Interview Prep
Privacy Policy
Last updated: March 14, 2026
Data We Collect
- Account data: Google OAuth email and display name (via Firebase Authentication)
- Resume data: Uploaded resume files and extracted keywords, stored in Google Cloud Storage and Firestore
- Application data: Jobs you save, apply to, or track
- Profile preferences: Target salary, location, transport mode, scoring model preferences
How We Use Your Data
- Match your resume keywords against job descriptions to generate relevance scores
- Personalize job recommendations and salary estimates
- Tailor resumes and generate cover letters using Gemini AI (your data is sent to Google's Gemini API)
Data Storage & Security
- All data is stored in Google Cloud (Firestore, Cloud Storage, Cloud Run) in the
us-east1region - Data is encrypted in transit (HTTPS/TLS) and at rest (Google Cloud default encryption)
- Authentication is handled by Firebase Auth — we never see or store your Google password
- Firestore security rules restrict data access to authenticated owners only
Data Sharing
- We do not sell your data to recruiters, employers, or third parties
- Resume text is sent to Google Gemini API for keyword extraction and scoring — subject to Google's Gemini API Terms
- No data is shared with job portals — we only read publicly available job listings
Your Rights
- Access: View all your stored data through the platform
- Deletion: Delete your resumes, applications, and profile data at any time
- Portability: Export your data via the platform's export features
- Contact: For data requests, email privacy@ringsail.com
Cookies
This platform does not use tracking cookies. Authentication state is managed via Firebase tokens stored in browser memory. localStorage is used for UI preferences (theme, scoring profile) only.
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