Question 1

What is an AI career archetype?

Accepted Answer

An AI career archetype groups your skills, preferences, and strengths into a category that maps to specific AI roles. For example, someone strong in product thinking and communication but moderate in coding is often a Builder — suited to AI Product Manager or AI Strategy roles. Someone with deep technical skills but preferring execution over leadership is often an Engineer or Specialist.

Question 2

Which AI career pays the most in 2024?

Accepted Answer

ML Engineers and AI Research Scientists command the highest salaries — $180,000-$350,000 at top AI labs. AI Product Managers at major tech companies earn $160,000-$280,000. Data Scientists range from $120,000-$200,000 depending on industry. Salaries at AI-native companies (Anthropic, OpenAI, Cohere) skew significantly higher than traditional enterprise roles.

Question 3

Should I become an AI PM or ML Engineer?

Accepted Answer

It depends on what you enjoy day-to-day. ML Engineers write code, train models, build systems, and debug production issues — strong math and programming skills required. AI PMs define what gets built, work across engineering, data science, and design, and need strong communication and business judgment. You don't need to code well as a PM, but you must understand how ML systems work at a conceptual level. The compass assessment maps this based on your actual preferences.

AI CareerCompass