Simeon Goldberg
Chief Growth Officer
Simeon Goldberg is Co-Founder and Chief Growth Officer at Anthrolytic, where he leads sales strategy, market development, and customer acquisition. An entrepreneur since age 15, Simeon has founded and scaled multiple ventures across e-commerce, social media marketing, and direct sales. His deep understanding of customer psychology and go-to-market strategy shapes how Anthrolytic positions VirtualShift in the competitive HR tech landscape. Simeon's hands-on experience building businesses from the ground up informs his belief that hiring should be about demonstrated ability, not polished resumes—a principle that drives Anthrolytic's product philosophy.
Articles & Research
Blog Articles
How Can I Hire for Communication Skills Instead of Resumes?
A practical guide to assessing communication, teamwork, and composure before the interview. Why resumes fail, why interviews fall short, and how a structured pre-screen shows you the real person.
What AI Tools Can Pre-Screen Entry-Level Candidates Before Interviews?
A head-to-head comparison of the five main AI pre-screening platforms: Sapia.ai, HireVue, Harver, Paradox, and VirtualShift. Which measures what, which fits your hiring volume, and why voice beats text for customer-facing roles.
Hospitality, Retail, and Sales Are Not the Same Hire
Why prescreening only makes frontline hiring efficient when it reads for what's different about each sector. A guide to configuring your pre-screen for hospitality, retail, and sales.
Case Study: How The Fellas Adopted VirtualShift
How a Melbourne event bartending agency built a repeatable way to screen for coachability, communication, and other soft skills — and stopped guessing from resumes.
Research & Documentation
Ethical Considerations For Vertically Integrated Hiring Solutions Utilising Machine Learning Models
This academic work examines moral dimensions arising when ML models span the entire recruitment workflow. Rather than offering technical solutions, the paper concentrates on principles and potential harms relevant to practitioners when algorithms mediate employment access.
Domain-Specific Fine-Tuning of PersonaPlex-7b for Customer Persona Simulation
We fine-tuned NVIDIA's PersonaPlex-7b-v1 model on 200 synthetic coffee shop customer conversations to address hallucinations and poor task adherence in customer-facing deployments. Using LoRA training with ChatterboxTTS audio and LibriSpeech voices, we introduced a semantic-weighted loss function and voice prompt injection mechanism that improves emotional accuracy and reduces role-inversion hallucinations.