Fastest way to find a Head of AI's email?

Run name + domain through HuntMeLeads — ~89% verified hit in ~2 seconds. AI leaders are heavily publicized on company blogs and arxiv.

Do AI leaders read cold email?

Yes, but they parse for technical signal. Pitches without model/eval specifics get archived in 2 seconds.

Thursday 11am local. They batch non-research inbox after standups.

What subject lines convert?

Reference a paper or evaluation: 'Re: your MMLU benchmark', '[Model] eval question'.

Should I pitch infra or apps?

Infra angles (eval, inference cost, fine-tuning) outperform application pitches by 4x.

What's the bounce rate?

Under 3% — AI leaders job-hop frequently, so refresh lists monthly.

Cold email vs Twitter for AI?

Twitter for casual relationship; email for substance. Quote-tweet first, email 48h later.

Do AI leaders use personal emails?

~25% list a personal gmail/me.com on their academic page. Try both.

AI Leaders · Head of AI / ML

Find any Head of AI's verified email — and pitch in their language.

AI leaders parse cold email for technical signal. Reference a model, eval, or paper in the first line or get archived.

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~89%

Email hit rate

~2s

Lookup latency

Reply lift w/ eval ref

$29

Flat, unlimited

Why most AI pitches get nuked

Heads of AI receive 30+ "GenAI solution" emails weekly. They scan for technical credibility in the first 5 words. Marketing-speak triggers instant archive.

The unlock: reference their published eval, benchmark, or recent talk. Show you read the paper, not the press release.

The 5 methods, ranked

Method 01 · Best~89%

B2B finder + verifier

HuntMeLeads, Apollo. ~89% verified AI leader hit.

Method 02 · arxiv

arxiv author email

Most papers list the corresponding author's direct email in the footer.

Method 03 · Academic page

University / lab page

Many AI leaders keep faculty pages with personal email even after going industry.

Method 04 · NeurIPS / ICML

Conference proceedings

Workshop organizer rosters include direct contact.

Method 05 · Fallback~76%

first.last@domain

76% pattern accuracy at AI labs. Verify via SMTP.

Reply rate by angle

From 1,900 sent emails to verified Head of AI / ML contacts.

Angle	Reply rate	Best for
Eval / benchmark reference	16.4%	Research-led teams
Inference cost question	13.2%	Production AI
Fine-tuning workflow	11.8%	Applied ML
Eval infra pitch	9.6%	Foundation model teams
'GenAI for your business'	0.2%	Never — instant archive

The 65-word email Heads of AI reply to

Eval reference + one technical question + zero buzzwords.

compose · cold email

Subject:

Your MMLU result — eval methodology question

Body:

[First] — read the MMLU writeup yesterday. The 5-shot vs zero-shot gap is wider than the [Reference] paper suggested.

Question: did you find the prompt template materially affected variance, or was it model-side?

We hit a similar gap at [Comparable Lab]. Happy to share notes async — no demo, no deck.

— [Name], [Credential]

HuntMeLeads vs typical AI-leader finder stack

Feature	HuntMeLeads	Typical alternative
Verified email	~89% hit	60–72% per credit
Pricing	Flat $29 unlimited	$0.10–$0.50 per credit
arxiv / publication signals	Built-in	Manual
GitHub activity enrichment	Built-in	Add-on
Sender + warmup	Included	Separate tool
Free plan	Forever-free	Trial only

What kills an AI pitch

✕ 'GenAI' / 'LLM solution' language

Top-blocked phrases. Use the specific model or technique name.

✕ Marketing-speak

AI leaders parse for technical credibility. Drop the brand voice.

✕ Calendly in email 1

Reads as low-signal. Async eval question wins.

✕ Sending during ICML / NeurIPS week

Bandwidth is zero. Check the conference calendar.

Frequently asked

Find any Head of AI's email — free.

89% hit rate. Unlimited credits. Sender + warmup included. No card to start.

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