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How to Actually Get Hired
Who reads applications, which channel gets a reply, and what they screen for.
Don't make these mistakes
Generic enthusiasm about AI agents. Everyone is excited about AI agents. Stand out by knowing exactly what Nyne's technical problem is: entity resolution across the open internet without privileged access to platform data. Come in with something built, not something said.
What gets their attention
South Park Commons, their co-lead investor, backs founders who are still in exploration mode - the portfolio skews research-heavy and scrappy, which means early hires carry disproportionate weight and disproportionate equity. Wischoff Ventures, run by solo GP Nichole Wischoff, is known for high-conviction early bets with hands-on follow-through. Her portfolio companies hire fast and lean. Gil Elbaz's presence as an angel is worth noting too: he invented the technology behind Google AdSense. When he backs a data intelligence company, he brings distribution instincts.
Why applying the normal way doesn't work
At <50 people, NYNE has no recruiting team. Your application lands with a founder who is also running sales, product and payroll. The obstacle isn't a queue or an ATS, it's being seen at all. Cold outreach outperforms the form here, consistently.
Who to contact at NYNE
Founding team
Michael started university at 16. By 19, he was a full-time machine learning engineer at CareRev, a YC-backed healthcare staffing company, while simultaneously finishing his computer science and data science degree at UC Berkeley. His manager at CareRev wrote in a recommendation that he was more experienced than engineers with twice his years, self-directed, technically sharp across both data science and software development, and needed almost no hand-holding. He initially left CareRev to build an AI SDR, a crowded space, but had a specific insight. As he built the product, other companies with significantly higher revenues started approaching him - not to buy the SDR tool, but to license his underlying data. He had quietly assembled a proprietary dataset on people and businesses at a scale that surprised larger, better-funded players. Rather than chase a feature war in AI outreach, he pivoted toward what was genuinely differentiated: the intelligence layer itself. That pivot is what became Nyne. He is a South Park Commons Fellow (F25 cohort).
Emad's career reads like a playbook for what it actually takes to build data-intensive systems at scale - not in theory, but in production, under commercial pressure, across two decades. He began at USC's Information Sciences Institute in the late 1990s, contributing to foundational internet infrastructure: the RFC Editor, CalRen2 (California's next-generation research internet), and MAE-LA. From there, he joined IAC as CTO, a publicly traded company, took it to nine-figure revenues, built a first-of-its-kind performance-based ad engine that earned patents, and conducted due diligence on acquisition targets including ServiceMagic and YellowPages.com. He then co-founded YellowBot and Weblocal.ca, bootstrapping Connectivity Inc. from zero to $15M in annual revenue before raising a $10.35M Series A. Most relevant to Nyne: at Control.My.ID, Emad served as CTO and built a seed-funded, high-availability system that aggregated billions of data points, then performed record matching and entity resolution to produce canonical records of people. This is exactly the technical problem Nyne is now solving at the agent layer. He has already built it. He is building it again, better, for a larger and more urgent market.
What to show them
The product is literally machine learning applied to web-scale crawling. Nyne's core system deploys millions of agents to analyze public data then stitches identities together using ML. This role is table stakes from day one. They cannot build without it. Core skills: distributed systems, Python, ML pipelines, web scraping at scale, vector databases, entity resolution, graph ML. For proof of work, build a small entity resolution system that takes fragmented public profiles (e.g. the same person across GitHub, LinkedIn, and a podcast guest page) and uses ML techniques to determine whether they're the same individual. Write a short technical blog post explaining your approach and tradeoffs. Post it publicly.
A cold email that works at NYNE
What NYNE screens for
Screening signal: South Park Commons, their co-lead investor, backs founders who are still in exploration mode - the portfolio skews research-heavy and scrappy, which means early hires carry disproportionate weight and disproportionate equity. Wischoff Ventures, run by solo GP Nichole Wischoff, is known for high-conviction early bets with hands-on follow-through. Her portfolio companies hire fast and lean. Gil Elbaz's presence as an angel is worth noting too: he invented the technology behind Google AdSense. When he backs a data intelligence company, he brings distribution instincts.
A tailored CV beats a generic one. Use NYNE's job description language to clear filters.
Mistakes that kill applications
Generic CVs stand out at a <50-person company — and not in a good way. Fastest path to rejection.
Skip 'I'm looking for...' — start with The AI agent era is arriving, and it's running blind and your specific angle on solving it.
The wait-and-hope strategy fails. Follow up on day five — response rates roughly double.
Frequently asked questions
How do I apply to NYNE?
Through the roles on our NYNE jobs page, or directly to a founder or department head if you can reach them. At <50 people, direct outreach outperforms the form.
Does NYNE respond to cold emails?
Not enough data yet on NYNE's cold email response rates.
Who is the hiring manager at NYNE?
At this size, hiring is usually run by a founder or department head.
How competitive is it to get hired at NYNE?
Typical applicant count for AI roles (<50 people): 50-100 in two weeks. Apply fast.
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