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LeadShark profile-view webhook: drop anonymous, cooldown the same actor, enrich then Apify, hard CRM write-gate, weak persona stays awareness, Slack only on scored or blocked outcomes.
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Ariel Cohen
I design & build growth engines @ Swan 🦢 · AI researcher turned growth
AI researcher turned founder turned growth engineer. Still figuring it out, in public.
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I started in AI research - curiosity and hard problems were my whole world Sc. in deep learning, former AI Team Lead, published). But I was hungry for more impact, so I founded The Voice Box, my own AI agency. Funny thing: I just needed leads. So I went deep on LinkedIn and growth - and it turned into 40,000 followers in 8 months, 7M+ people reached, and $100K closed in 90 days. All organic. What I learned: growth is a blend of experimentation, taste, data, and human psychology - and increasingly, engineering. It scratched the exact itch my research brain had been craving. So now I'm joining forces with Amos and Swan AI to build something wild: the first autonomous business, where humans are amplified 100x. I'm the founding growth engineer, and the job is to scale this thing to the moon. 🚀 I'll be sharing what happens when you drop a researcher-builder into a hyper-AI-native environment full of brilliant people and a sh*t ton of AI agents. Growth as engineering. Building in the open. The new playbook, from scratch. Stick around. com
GTM Index
- SWAN AIJOB
- Founding GTM Eng4M
Founding GTM Engineer
Swan AI
Founding Growth Engineer at Swan. First growth hire, building the growth engine from scratch in an AI-native environment - loops, experiments, attribution, and content systems that become predictable pipeline. AI researcher turned founder turned growth engineer. I treat GTM like a research problem: hypothesize, test, engineer the loop, scale.
- THE VOICE BOXJOB
- Founder1Y 6M
Founder
The Voice Box
The Voice Box is an AI solutions agency helping businesses unlock growth with custom voice agents, AI audits, and automation. Running the agency forced me to solve my own biggest problem: predictable pipeline. I built an inbound LinkedIn system from scratch, then started teaching it to other founders. Agency work: - Custom voice AI agents for B2B service businesses (SMB & Enterprise) - 360° AI opportunity audits - Automation systems that cut operational drag and response times LinkedIn pipeline results (for myself and clients): - $100K in new revenue closed within 90 days using LinkedIn lead magnets - 400,000+ decision makers reached through organic content - 40,000+ followers built with…
- CORSOUND AIJOB
- AI Team Lead7M
AI Team Lead
Corsound AI
Led a team of three researchers to deliver production‑grade Voice AI solutions, achieving deep‑fake detection with balanced accuracy above 98% across multiple languages and scenarios.
- Algorithm Developer6M
Algorithm Developer
Corsound AI
Currently researching innovative solutions for audio deep fake detection, integrating cutting-edge deep learning algorithms to enhance audio security and authenticity verification.
- VERBIT.AIJOB
- Applied Researcher - Speec…1Y 9M
Applied Researcher - Speech and Acoustics
Verbit.ai
Lead several high profile applied research projects (e2e): business justification, literature review, algorithm design & development, data collection, model training and benchmarking, optimization, productizing and continuous testing at scale both with users and customers to ensure KPIs are met. Fields included: Speech enhancement (noise reduction), SNR Estimation, Audio profiling, multichannel speech enhancement, Robust ASR, Voice Activity Detection (VAD).
- BEN-GURION UNIVERSITY OF THE NEGEVJOB
- Graduate Student Researcher2Y 6M
Graduate Student Researcher
Ben-Gurion University of the Negev
Research Included deep learning algorithms for protecting automatic speaker verification systems (ASV) from the threat of audio deep fake / spoofing Journal Paper: "A Study on Data Augmentation In Voice Anti-Spoofing", Speech Communication journal, Volume 141, June 2022, Pages 56-67 Achieved state of the art results (8% Error reduction from the best score) in the international ASVspoof 2021 challenge in the Deep Fake category. We developed data augmentation techniques, feature design ideas and a statistically meaningful Spec Average method that all contributed toward achieving a state of the art system.
- BEN-GURION UNIVERSITY OF THE NEGEVSCHOOL
- Master's degree, Deep lear…2Y 11M
Master's degree, Deep learning algorithms for fake speech detection
Ben-Gurion University of the Negev
- Bachelor's degree, Electri…4Y 11M
Bachelor's degree, Electrical and Electronics Engineering, Cum Laude
Ben-Gurion University of the Negev
- CLASSIFIEDJOB
- Project Mgr2Y
Project Manager
Classified
Weaponry and Technology Dept. Responsibilities included Managing technological projects.
- Technology Officer4Y
Technology Officer
Classified
Technology officer. Responsibilities included evaluating new technologies (software, recording systems, electro-optic sensors and communication systems), commanding the squadrons tech team, planning and executing complex airborne experiments.
- Job: Classified — Project Manager · 2014-07 – 2016-07 · 2y — Weaponry and Technology Dept. Responsibilities included Managing technological projects.
- Job: Swan AI — Founding GTM Engineer (Founding GTM) · 2026-06 – present · 2 mo — Founding Growth Engineer at Swan. First growth hire, building the growth engine from scratch in an AI-native environment - loops, experiments, attribution, and content systems that become predictable pipeline. AI researcher turned founder turned growth engineer. I treat GTM like a research problem: hypothesize, test, engineer the loop, scale.
- Job: Corsound AI — Algorithm Developer · 2024-03 – 2024-09 · 6 mo — Currently researching innovative solutions for audio deep fake detection, integrating cutting-edge deep learning algorithms to enhance audio security and authenticity verification.
- Job: Corsound AI — AI Team Lead · 2024-09 – 2025-04 · 7 mo — Led a team of three researchers to deliver production‑grade Voice AI solutions, achieving deep‑fake detection with balanced accuracy above 98% across multiple languages and scenarios.
- Job: The Voice Box — Founder · 2025-04 – present · 1y 4mo — The Voice Box is an AI solutions agency helping businesses unlock growth with custom voice agents, AI audits, and automation. Running the agency forced me to solve my own biggest problem: predictable pipeline. I built an inbound LinkedIn system from scratch, then started teaching it to other founders. Agency work: - Custom voice AI agents for B2B service businesses (SMB & Enterprise) - 360° AI opportunity audits - Automation systems that cut operational drag and response times LinkedIn pipeline results (for myself and clients): - $100K in new revenue closed within 90 days using LinkedIn lead magnets - 400,000+ decision makers reached through organic content - 40,000+ followers built with…
- Job: Classified — Technology Officer · 2010-07 – 2014-07 · 4y — Technology officer. Responsibilities included evaluating new technologies (software, recording systems, electro-optic sensors and communication systems), commanding the squadrons tech team, planning and executing complex airborne experiments.
- Job: Verbit.ai — Applied Researcher - Speech and Acoustics · 2022-02 – 2023-11 · 1y 9mo — Lead several high profile applied research projects (e2e): business justification, literature review, algorithm design & development, data collection, model training and benchmarking, optimization, productizing and continuous testing at scale both with users and customers to ensure KPIs are met. Fields included: Speech enhancement (noise reduction), SNR Estimation, Audio profiling, multichannel speech enhancement, Robust ASR, Voice Activity Detection (VAD).
- Job: Ben-Gurion University of the Negev — Graduate Student Researcher · 2019-07 – 2022-01 · 2y 6mo — Research Included deep learning algorithms for protecting automatic speaker verification systems (ASV) from the threat of audio deep fake / spoofing Journal Paper: "A Study on Data Augmentation In Voice Anti-Spoofing", Speech Communication journal, Volume 141, June 2022, Pages 56-67 Achieved state of the art results (8% Error reduction from the best score) in the international ASVspoof 2021 challenge in the Deep Fake category. We developed data augmentation techniques, feature design ideas and a statistically meaningful Spec Average method that all contributed toward achieving a state of the art system.
- School: Ben-Gurion University of the Negev — Master's degree, Deep learning algorithms for fake speech detection · 2019 – 2021
- School: Ben-Gurion University of the Negev — Bachelor's degree, Electrical and Electronics Engineering, Cum Laude · 2016 – 2020
Skills
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