Head of ML Demand Generation
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Could not be confirmed either way
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
The employer's own board was still advertising this when we last read it, though our own check is not current.
How old is it?
Posted 234d ago
The date the source published, not the day we noticed it (2026-02-18). Last seen at its source 2d ago.
We have tracked this listing since 5 Oct 2026 (5 days). The employer's own board has carried it every time we have read it, most recently 2 days ago.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Ashby employer's own board first seen 5d ago · last seen 2d ago
The listing
About Neon
Many large companies make billions each year by monetizing Americans’ personal data. At Neon, we’re finally cutting consumers in on the deal. Neon allows our users to make hundreds (or even thousands) of dollars per year by securely selling their anonymized data. We recently raised $25 million dollars from Lightspeed, Upper90, Upfront Ventures, and other cool investors.
About the role
We have a rapidly growing proprietary dataset generated by our 500,000+ users, and the AI industry is starving for exactly this kind of high-quality, human-generated data. Your job is to go sell it to them.
As the Head of ML demand generation, you are the tip of the spear for our revenue engine. You are an adept Go-To-Market leader capable of engaging in both technical and business conversations at the highest levels of an organization, pitching directly to CTOs, CFOs, and Lead ML Researchers.
You will own the full customer journey from initial awareness and licensing to customer success and follow-on expansion. Your analytical nature means you bias toward winning business by proving exactly how a client's model performance and business objectives benefit from partnering with Neon. You will also lead cross-functional efforts, acting as the bridge between our customers and our product and engineering teams to align what we build with what you sell.
We're a small, early-stage team moving fast. Expect roughly 60 hours per week, with occasional weekend work around launches and deadlines. We're upfront about this because we'd rather find people who are energized by that pace than surprise anyone after they join.
You have…
Authorization to work in the US.
Elite enterprise execution. You have a proven track record handling yearly quotas of $2M+ and closing complex, annual contracts in the $250k to $3M+ range
Deep AI fluency & technical background. You possess a deep understanding of the AI landscape. You can comfortably talk shop about pre-training, post-training, fine-tuning (SFT), APIs, and model evaluations. Previous experience as a sales engineer or a technical educational background is highly valued
The "Hunter" DNA. You are relentless. You know how to independently identify high-probability customers and high-value verticals, map out complex organizations, and find the actual economic buyer
Complex deal navigation. You are completely comfortable driving deals through the grueling legal, privacy, and procurement reviews that come with selling high-volume datasets to massive tech companies
Cross-functional leadership. You are ready to build the foundation for revenue and customer success from the ground up, with the ability to eventually manage dedicated resources (AEs, SDRs, CS) to deliver on the GTM plan you develop
Bonus points
A massive AI rolodex. You already have deep relationships and trust with technical buyers at top frontier AI labs (OpenAI, Anthropic, Google, Meta, etc.) or major enterprise AI teams
Data licensing expertise. Deep familiarity with modern AI data licensing structures
Startup agility. You thrive in highly ambiguous, unstructured environments and are always looking for opportunities to step outside your role to level up the business