Energy role benchmark

AI Engineer vs AI Product Manager: what energy employers ask for

As of 29 October 2026, Plutarch tracked 168 open AI Engineer postings and 56 open AI Product Manager postings at energy employers.

Skills and tools

Share of the postings we could read in full that name each skill: 139 for AI Engineer, 40 for AI Product Manager.

Skills named in AI Engineer and AI Product Manager postings.
Skill or toolAI EngineerAI Product Manager
Python73%10%
LLMs63%30%
AI agents50%25%
RAG45%not listed
Azure43%18%
Generative AI23%33%
AWS32%not listed
CI/CD32%not listed
Machine learning32%23%
SQL27%not listed
Cybersecuritynot listed25%
Git20%not listed
MLOps19%not listed
TypeScript19%not listed
Docker18%not listed
API design17%not listed
Battery storagenot listed15%
Agile / Scrumnot listed13%
Excelnot listed13%
Energy trading / power marketsnot listed10%
ETL / ELT pipelinesnot listed10%

Where the postings are

Countries of open AI Engineer and AI Product Manager postings, as a share of each role's postings.
CountryAI EngineerAI Product Manager
United States30%32%
Germanynot listed11%
United Kingdom7%11%
India10%9%
Canada5%not listed
Singapore4%4%

How many postings state pay

  • AI Engineer: 38 of 86 postings whose pay we could read (44%)
  • AI Product Manager: 12 of 33 postings whose pay we could read (36%)

Pay levels are not compared here: each role's figures come from different countries and currencies. They are on each role's own page. Pay disclosure tracks local pay-transparency law more closely than employer policy, so the two rates partly reflect where each role is advertised.

“Not listed” means the skill, credential or country is not among those shown on that role's own page, not that no posting names it. This compares what employers ask for in the two roles; it does not count how many people hold those skills or say that one role can do the other.

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