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AI product roles jump 41% QoQ as teams staff up on applied ML

Market Pulse · Today · 4 min read

Postings for AI-adjacent product and engineering roles rose 41% quarter over quarter, with the sharpest growth in applied machine learning and platform teams shipping LLM features to production.

Recruiters increasingly scan for concrete evidence of shipped AI work rather than course certificates. Lead with the outcome — a feature in production, an evaluation you built, a latency or cost number you moved — not the model name alone.

On a PM resume, quantify adoption and retention lift from AI features. On an engineering resume, name the stack (retrieval, eval harness, serving) and the reliability metrics you owned.

Mirror the language in the job description: if it says “RAG,” “evals,” or “inference cost,” make sure those exact phrases appear where you genuinely have the experience. Run the ATS checker before you apply.