Career transition

Head of mobile marketing → AI Evaluation Engineer

This route builds on experience you already have and identifies the skills you need to add.

Starting roleHead of mobile marketing · 34%
→
Learning path6–12 months
→
Target roleAI Evaluation Engineer · 16%

Transferable strengths

  • audience understanding and hypothesis testing
  • resource allocation
  • spatial attention
  • emergency response
  • audience understanding

Skills to add

  • AI-system evaluation
  • model-behavior monitoring
  • AI governance
  • financial modelling
  • AI-assisted scenario analysis
  • AI-agent-assisted development

United States · monthly pay

How income may change

Comparison of modeled average monthly pay before tax. It helps assess direction but does not guarantee income after a transition.

Head of mobile marketing$9 700 → $13 100
AI Evaluation Engineer$12 900 → $20 050
Head of mobile marketing · 2026: $9 7002026Head of mobile marketing · 2027: $10 0502027Head of mobile marketing · 2028: $10 3502028Head of mobile marketing · 2029: $10 7002029Head of mobile marketing · 2030: $11 1002030Head of mobile marketing · 2031: $11 4502031Head of mobile marketing · 2032: $11 8502032Head of mobile marketing · 2033: $12 2502033Head of mobile marketing · 2034: $12 6502034Head of mobile marketing · 2035: $13 1002035AI Evaluation Engineer · 2026: $12 900AI Evaluation Engineer · 2027: $13 550AI Evaluation Engineer · 2028: $14 250AI Evaluation Engineer · 2029: $14 950AI Evaluation Engineer · 2030: $15 700AI Evaluation Engineer · 2031: $16 500AI Evaluation Engineer · 2032: $17 300AI Evaluation Engineer · 2033: $18 200AI Evaluation Engineer · 2034: $19 100AI Evaluation Engineer · 2035: $20 050

How realistic is the transition?

Skill fit66%
DifficultyMedium
DemandHigh

Suggested sequence

  1. Review 20–30 AI Evaluation Engineer vacancies and record actual tasks, mandatory requirements and tools.
  2. Define the bridge from Head of mobile marketing: audience understanding and hypothesis testing. Prepare two examples where this experience produced a measurable result.
  3. Learn AI-system evaluation and model-behavior monitoring to the level of completing an independent practical task—not merely finishing a course.
  4. Build a working prototype, publish the code in a repository, and add tests, documentation and a decision record.
  5. Review 20–30 vacancies and choose only courses or certificates that repeatedly appear in employer requirements.
  6. Rewrite your résumé for AI Evaluation Engineer, add the case and begin with test applications, internships, projects or adjacent tasks at your current employer.
Timeline and pay are indicative. They depend on starting skills, location, experience, weekly study time and employer requirements.