What problem does it solve? Job searching scatters relevant roles across Dice, LinkedIn, and dozens of company career pages, making it hard to compare fit consistently or track application status. This Skill centralizes role discovery from legitimate public sources, scores every posting against a defined Ideal Candidate Profile rubric, and maintains a status Kanban in Notion so nothing falls through. ## Core Features & Use Cases - Multi-source aggregation: Pulls roles from Greenhouse, Ashby, and Lever board APIs via curl, plus optional RSS.app feeds, Apollo job postings (credit-gated), and Dice search, then dedupes on a stable ATS job-id natural key. - ICP scoring rubric: Scores each role 0-100 across role mechanism, company AI-nativeness, leverage/support signals, AI-multiplier fit, and location, with explicit auto-reject rules, IC-vs-management gating, and a $200K OTE floor, producing A/B/C/drop tiers. - Notion tracking with human approval: Presents ranked roles for review, then writes approved entries to a Notion Roles database with status, score, tier, and dedup hash. - Use Case: Run a weekly scan of 21 target AI-native companies' career boards, get a ranked digest of new Enterprise CSM and Account Director openings in NYC, and add only the A-tier roles to your Notion pipeline. ## Quick Start Scan my target companies for new commercial roles posted in the last seven days, score them against my ICP, and show me the ranked list before adding anything to Notion.
