# Career-Ops Profile -- Dual-Track Example (Engineer + Instructor)
#
# Fictional persona. Demonstrates how to configure a profile when you are
# optimizing for TWO archetypes at the same time -- e.g. Senior AI Engineer
# AND Senior Technical Instructor. See README.md in this folder for the
# rationale and the interview-objection playbook.
#
# Copy this file to config/profile.yml and edit before using.

candidate:
  full_name: "Sam Rivera"
  email: "sam@example.com"
  phone: "+00-000-0000000"          # placeholder, replace with your real number
  location: "Berlin, Germany"
  linkedin: "linkedin.com/in/sam-rivera-example"
  portfolio_url: "https://sam-rivera.example.dev"
  github: "github.com/sam-rivera-example"
  twitter: "https://x.com/sam_rivera_example"

target_roles:
  # North Star -- TWO primary tracks, not one.
  primary:
    - "Senior AI Engineer"
    - "Staff AI Engineer"
    - "Senior Technical Instructor (AI/ML)"
    - "Lead Curriculum Engineer"
  # Archetypes -- note: TWO entries with fit: primary.
  # The evaluator should pick whichever is closer to the JD at scoring time.
  archetypes:
    - name: "Senior AI Engineer"
      level: "Senior/Staff"
      fit: "primary"
      track: "engineering"
      sell_when: "JD emphasizes shipping production AI, agent infra, LangChain/LangGraph, eval systems, ownership of an AI subsystem"
    - name: "Senior Technical Instructor (AI/ML)"
      level: "Senior/Lead"
      fit: "primary"
      track: "teaching"
      sell_when: "JD emphasizes curriculum, cohort delivery, bootcamp/university lectureship, DevRel education, internal enablement, instructor-led training"
    - name: "AI DevRel Engineer"
      level: "Senior"
      fit: "secondary"
      track: "hybrid"
      sell_when: "JD wants someone who can ship demos, write docs, AND speak at events / run workshops -- the natural dual-track landing zone"
    - name: "Head of AI Education / Curriculum Lead"
      level: "Lead/Manager"
      fit: "secondary"
      track: "teaching"
      sell_when: "JD wants ownership of an entire curriculum, hiring + managing instructors, working with industry partners"
    - name: "Forward Deployed AI Engineer"
      level: "Senior"
      fit: "adjacent"
      track: "engineering"
      sell_when: "JD wants client-facing technical work, fast prototyping, customer enablement -- teaching skills become a differentiator here"

narrative:
  # One-line headline. Names BOTH tracks. The "rare combination" is the value.
  headline: "Senior AI engineer who also runs the curriculum -- 60K LOC in production, 5,200+ teaching hours, 80+ careers launched"
  # Exit story bridges both tracks into one coherent reason for the move.
  exit_story: "Spent 4 years running an AI subsystem at a knowledge-graph SaaS in parallel with leading the AI Engineering track at a Berlin bootcamp. Both missions are complete -- now optimizing for a single role that uses both sides, or for one side at full intensity if the team is right."
  # Superpowers -- mix of engineering AND teaching to reflect the dual track.
  superpowers:
    - "Ship production AI systems end-to-end (LangChain, LangGraph, Neo4j, Redis)"
    - "Design curriculum that produces hireable engineers (92% completion, 80+ placed)"
    - "Explain hard technical material in plain language -- in two languages"
    - "Run incident reviews and code reviews at scale without burning out the team"
    - "Bridge engineering and education -- internal docs that people actually read"
  # Proof points -- mix engineering AND teaching wins, marked by track.
  proof_points:
    - name: "Knowledge-Graph SaaS AI subsystem"
      url: "https://sam-rivera.example.dev/case-study-knowledge-graph"
      hero_metric: "60K LOC owned, 4M+ agent events/month, 38% latency cut"
      track: "engineering"
    - name: "agent-skills-kit"
      url: "https://github.com/sam-rivera-example/agent-skills-kit"
      hero_metric: "2,400+ GitHub stars, 11 contributors"
      track: "engineering"
    - name: "AI Engineering 4-Week Intensive (curriculum)"
      url: "https://sam-rivera.example.dev/curriculum-ai-eng"
      hero_metric: "6 cohorts, NPS 71, 92% completion, 80+ careers launched"
      track: "teaching"
    - name: "pplx-embed-local-runner"
      url: "https://github.com/sam-rivera-example/pplx-embed-local-runner"
      hero_metric: "610 stars, used in 3 lab exercises"
      track: "hybrid"
  # Optional dashboard / live demo
  # dashboard:
  #   url: "https://sam-rivera.example.dev/demo"
  #   password: "demo-2026"

compensation:
  # Default range = engineering range (typically higher).
  target_range: "EUR 95K-130K"
  currency: "EUR"
  minimum: "EUR 80K"
  location_flexibility: "Remote within EU; up to 1 week/month on-site in Berlin or any EU city"

  # alternate_ranges -- non-standard but the dual-track pattern needs it.
  # The evaluator should pick the range matching the detected archetype track.
  alternate_ranges:
    - track: "teaching"
      target_range: "EUR 70K-95K"
      minimum: "EUR 60K"
      note: "Teaching roles pay less than engineering. Walk-away is lower because the work is intrinsically rewarding, but not unlimited."
    - track: "hybrid"
      target_range: "EUR 90K-120K"
      minimum: "EUR 75K"
      note: "DevRel and Forward-Deployed roles -- price between the two tracks."

location:
  country: "Germany"
  city: "Berlin"
  timezone: "CET/CEST"
  visa_status: "EU citizen, no sponsorship needed"
  onsite_availability: "1 week/month in any EU city; full remote preferred"