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Guide

How to Get an AI Job in 2025 (Beyond OpenAI & Big Tech)

Guide Overview

This guide provides a step-by-step framework for landing AI jobs at Series A startups in 2025. It targets job seekers looking to maximize equity and impact by avoiding oversaturated roles at Big Tech and OpenAI.

Synopsis

Plain-Language Summary

The guide explains why Series A AI companies offer the best balance of risk and reward for career growth in 2025. It outlines how to identify promising startups, conduct deep research, and create tailored artifacts to stand out. The "spearfishing method" emphasizes personalized outreach, solving real problems, and building relationships with key decision-makers. It also includes practical advice for interviews, tracking metrics, and maintaining a consistent job search pipeline. The guide is designed for engineers and non-technical professionals alike, offering actionable strategies to secure roles at high-growth AI companies.

Key Findings

  • 70% of AI jobs are filled through networks, not public postings.
  • Series A companies offer equity with 10–50x potential upside.
  • Bug fixes and prototypes yield 55%+ cold email response rates.
  • Parallel processing of 20 companies reduces job search timelines to ~30 days.
  • Founders prioritize practical solutions over perfect technical designs.

Why It Matters / Implications

AI job seekers often focus on Big Tech, missing opportunities at Series A startups where equity and impact are highest. This guide empowers candidates to target these companies strategically, increasing their chances of landing life-changing roles while contributing to the AI revolution.

Related Research

  1. Andrew Ng – "The Batch." Online Newsletter, 2025.
  2. Y Combinator – "Startup Directory." YC Database, 2025.
  3. Papers with Code – "Benchmarking AI Models." Online Repository, 2025.
  4. MLOps Community – "Slack Discussions." Community Platform, 2025.
  5. Hugging Face – "Trending Models." Online Repository, 2025.
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