Warm-Intro onto a Shipping Applied-AI Team
You keep opening with alignment reading and getting silence from teams whose actual job is shipping agents to production. The fix is not more polish, it is matching what you reference to what they ship.
Find Your Warm Intro →Free · No sign-up · See results in ~10 seconds
A plain LinkedIn search buries the people who would actually help you.
It ranks by prominence, so the most-followed, most-messaged names sit on top. FindWarmIntros surfaces the coworkers who share your school or a past employer - the people most likely to reply - and hands you a ready-to-send intro.
✍️ Ready-to-send intro“Hi - we both studied at [your school]. I’d love to hear about your path to a company you are targeting before I apply…”
… plus everyone else in your network who can put in a good word.
See who can refer you in - pick a tech target:
Why a shipping team reads your message differently than a research lab
A research or safety org is staffed to produce papers, interpretability work, and eval methodology, so signaling that you read the literature is on-target for them. An applied-AI team is staffed to keep an agent answering correctly under load, keep cost per call sane, and keep the on-call pager quiet. The same opening line that flatters a lab tells a product engineer you would rather theorize than fix the retrieval bug in their demo.
So the move is not a better cold pitch. It is to reach a person who already has a reason to reply to you, and then talk about the thing they measure: latency, eval pass rates, tool-calling reliability, and what broke in prod last week.
What to put in the first message to an applied-AI engineer
Lead with the thing you share, then prove you understand their surface, then make the reply cheap. In that order.
- Open with the connection, not the ask. One line that you overlapped at the same school, lab, or past employer earns three seconds of goodwill that a stranger never gets. Name it before anything else.
- Reference one shipped thing, specifically. Point at the feature, model, or SDK they actually released and say what you noticed: a tool-call that retries oddly, an eval you would have run, a prompt you rebuilt in an afternoon. Vague admiration proves nothing.
- Show, do not claim. Link a repo, a short Loom of you reproducing their demo, or a one-paragraph teardown of their agent's failure mode. Applied teams hire from artifacts, not adjectives.
- Make helping you a 30-second act. Ask for one specific thing (a pointer to the hiring manager, a yes or no on whether they use evals in CI) instead of a call. The easier the reply, the more replies you get.
Find the right person before you write a word
The hard part is not the message, it is knowing which of the fifty people on that team actually shares something with you and is worth reaching. FindWarmIntros does that finding-and-ranking part for you: point it at the target company and it surfaces the real people there you share a school or past employer with, ranked by how reachable the connection is, and drafts a warm intro you can edit.
Once you know who to write to and why they might care, the concrete-reference advice above does the rest. A warm path to one engineer who shipped the thing you want to work on beats a hundred cold applications into an inbox that never opens.