get hired at
NYNE
Contextual intelligence layer for AI agents
- 2
- WVLNWSPC+1
- San Francisco
- AI
Open roles at NYNE
3 positions we're tracking, re-checked daily
Know when NYNE is hiring before anyone else
A role stays uncontested for about four days. Here's the window, and where we put you in it.
From $5.99/week, cancel any time.
- live
- +2h+2hrole spotted & verified1
- +4h+4hyou get the alert1
- day 3day 3you've applied~8
- day 7+day 7+hits the job boards250+
What NYNE is building
Nyne is building the identity intelligence layer for AI agents. The problem: when an AI agent acts on your behalf, it currently has no way to know who you actually are across the open internet. Your LinkedIn, your Strava, your SoundCloud account, your public government records, your Instagram - these are all strangers to each other for any third party. Nyne deploys millions of sub-agents across the web to stitch those fragments together, applying ML to triangulate a unified contextual profile of a person from their entirely public digital footprint. Consumer-facing companies building AI agents can then plug into Nyne to give their agents genuine, deep understanding of the people they're trying to serve.
Why this matters
The AI agent era is arriving, and it's running blind. An agent that books your travel or purchases on your behalf without knowing your preferences is just automation with a fancier name. Google has solved the identity layer problem, but Google will never share that data with anyone. The open ecosystem needs its own version of this infrastructure, and no one has built it yet. Nyne's lead investor Nichole Wischoff framed the opportunity simply: how do you know someone is pregnant early enough to market to them? That's a crude way of putting it, but the underlying logic is real - context-rich AI outreach is table stakes for the next generation of agent-driven commerce. The company also has a notable angel in Gil Elbaz, who literally invented the technology that underpins Google AdSense. He's backed the right adtech bets before.
Investors: Wischoff Ventures (lead, Nichole Wischoff), South Park Commons. Angel: Gil Elbaz (co-founder Applied Semantics, pioneer of Google AdSense).
Hiring outlook
Just announced yesterday with $5.3M in the bank and a product that needs to scale across millions of web crawls. The timing could not be better for outreach.
Working at NYNE
NYNE is a AI company based in San Francisco. Working at a AI company at this stage means broad remit, direct access to founders, and equity that still means something if the company works out.
San Francisco is where most NYNE positions are located.
How to actually get hired at NYNE
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
- Who decides
- a founder or department head
- Best channel
- LinkedIn or direct email
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
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.
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.
Mistakes that kill NYNE applications
A recycled CV gets rejected fast at NYNE (<50 people). They notice.
Don't open with what you want. Open with what NYNE is dealing with right now — The AI agent era is arriving, and it's running blind, and what you'd do about it.
Most AI applications get ghosted. A day-five follow-up can double your response rate.
Applying to NYNE? Get the contact, not the form.
The NYNE interview process
We don't yet have verified candidate reports for NYNE. What follows is the typical process for a <50-person AI company, so treat it as a model, not confirmed detail.
Interview stages
- 1
Intro Call
Video call · 30 min
What it testsCulture fit and role expectationsUsually run byFounder or hiring manager - 2
Technical Deep Dive
Video call or in-person · 60 min
What it testsPast projects and problem-solving approachUsually run byTechnical founder or lead - 3
Final Round
In-person or video · 45 min
What it testsTeam fit and offer discussionUsually run byFounding team
NYNE take-home assignment
NYNE includes a take-home exercise in their interview process. For AI roles, this typically involves a practical problem that takes 2-4 hours. Focus on clean, working code over premature optimization. They're evaluating how you think and communicate, not just the solution.
NYNE interview timeline
Timeline: ~7 days. That's faster than the AI median (10 days at <50 people).
Interviewed at NYNE?
Tell us how it went: stages, questions, timeline. Takes 90 seconds and it's how this page stays accurate for the next person.
NYNE jobs, frequently asked questions
How many jobs does NYNE have open?
3 open roles at NYNE, last checked October 2, 2026.
Does NYNE hire remotely?
NYNE doesn't have remote openings at the moment. All roles are in San Francisco.
What roles is NYNE hiring for?
NYNE is hiring across Engineering, Other. The most recent opening is ML / Data Infrastructure Engineer.
How do I apply for a job at NYNE?
Apply via the links above. For tips, read our guide on how to get hired at NYNE.
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?
Roles at <50-person AI companies typically draw 50-100 applicants in the first two weeks. Applying inside 72 hours of a posting going live is the single biggest lever you control.
How many rounds is the NYNE interview?
3 stages: Intro Call, Technical Deep Dive, Final Round.
Is the NYNE interview hard?
Focus on technical depth and system design, not puzzles. Technical Interview is reportedly the most challenging round.
Does NYNE give a take-home task?
Yes, NYNE includes a take-home assignment.
How long does NYNE take to get back to you?
Around 7 days across the full process.
What should I prepare for the NYNE interview?
technical depth and system design is the priority. Show you can work autonomously — that matters more than algorithms at <50 people.
Where is NYNE based?
NYNE is headquartered in San Francisco, US.
Get NYNE roles before they're posted
A role stays uncontested for about four days. Here's the window, and where we put you in it.
From $5.99/week, cancel any time.
- live
- +2h+2hrole spotted & verified1
- +4h+4hyou get the alert1
- day 3day 3you've applied~8
- day 7+day 7+hits the job boards250+
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