What AI Strategy job postings ask for
Python appears in 29% of AI Strategy job postings, followed by Generative ai (16%) and Codex (12%) — counted across 98 live postings from company career sites.
Every term below was counted in real postings published by employers. We tally what each posting names at least once, so one keyword-stuffed listing can’t inflate a number.
Counted across 98 AI Strategy postings gathered from company career sites and seen in the last 90 days. Percentages are the share of those postings naming each term. Last verified against live postings on ; re-checked every six hours.
Skills and tools, most-asked first
- Python29% · 28 of 98
- Generative ai16% · 16 of 98
- Codex12% · 12 of 98
- LLMs12% · 12 of 98
- JavaScript11% · 11 of 98
- Machine learning11% · 11 of 98
- AI10% · 10 of 98
- SQL10% · 10 of 98
- LLM9% · 9 of 98
- PyTorch8% · 8 of 98
- TypeScript8% · 8 of 98
- Agents7% · 7 of 98
- Salesforce7% · 7 of 98
- Deep learning7% · 7 of 98
- Java7% · 7 of 98
- Tool use7% · 7 of 98
- Reinforcement learning6% · 6 of 98
- Openai apis6% · 6 of 98
- Retrieval6% · 6 of 98
- Evals6% · 6 of 98
- Rag6% · 6 of 98
- Claude code6% · 6 of 98
- Rlhf6% · 6 of 98
- Prompt engineering6% · 6 of 98
- Clis5% · 5 of 98
Questions about this data
What skills do most AI Strategy job postings ask for?
Across 98 AI Strategy postings from the last 90 days, the most frequently named are Python (29%), Generative ai (16%), Codex (12%). Each percentage is the share of those postings naming the term at least once.
How common is PyTorch in AI Strategy postings?
PyTorch appears in 8% of the 98 AI Strategy postings counted — roughly 8 of them. That places it mid-pack rather than near-universal, which is worth knowing before you rewrite a résumé around it.
Where does this AI Strategy data come from?
Public job postings published by employers on their own career sites, collected through the official Greenhouse, Lever and Ashby job-board APIs. It is a count of 98 real postings seen in the last 90 days — not a survey, an estimate, or a model's guess.
Should I add these skills to my résumé?
Only the ones you genuinely have. Frequency tells you which terms to surface and phrase in the employer's own words if they are already true of you. Adding a skill you can't defend is the fastest way to fail an interview, so FreshStartr reports gaps rather than writing them in.
Other roles we track
- Sales
- Software Engineer
- Solutions Architect
- Operations
- Machine Learning Engineer
- Customer Success
- Product Manager
- Finance
Which of these does your résumé actually evidence?
Paste a AI Strategy posting and you get a line-by-line match report: what you already prove, and what you don’t. Gaps are reported, never written in for you.
Check my résumé