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Featured: Women in Tech Global Conference 2026 Virtual-first
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12-15 May 2026
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  1. Speaker
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WOMEN IN TECH GLOBAL CONFERENCE 2026

Elina Konstantinidou

Founder & CEO at noscis

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"Hiring Is the Hardest Thing Founders Get Wrong. AI Is Making It Worse."

Fri May 15 - 9:30 AM EDT/New York (See in local time)
Add to Calendar 05/15/2026 9:30 AM 05/15/2026 09:50 AM America/New_York #WTGC2026

"Hiring Is the Hardest Thing Founders Get Wrong. AI Is Making It Worse."
#WTGC2026

"Hiring Is the Hardest Thing Founders Get Wrong. AI Is Making It Worse."
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Session: Hiring Is the Hardest Thing Founders Get Wrong. AI Is Making It Worse.

Hiring is the decision that shapes everything else. The team you build determines the culture you have, the speed you move, and whether the vision in your head ever becomes real. And yet most founders approach it with outdated processes, a gut feeling they trust more than they should, and criteria that live entirely in their heads.

When it goes wrong, they blame the candidate. When it goes right, they call it instinct. Neither is the full story.

At a startup, the cost of getting it wrong goes far beyond the salary. Every person you bring in shapes how the team operates, what gets prioritized, and what kind of company you're quietly becoming. A misaligned hire doesn't just underperform. They slow momentum, drain the people around them, and pull your culture in a direction you never chose. And in a world where every resume looks extraordinary, AI-generated candidates are the #1 anticipated hiring threat, and the tools meant to help are moving faster than the judgment needed to use them well, trusting your gut has never been riskier.

The most expensive hiring mistakes are almost never about judgment. They're about the absence of a foundation: a clear definition of what success in a role actually requires, built before the search even begins.

This talk breaks down what that foundation looks like, how to build it, and how it changes every step of what comes after. From the questions you ask in an interview to the confidence you feel when you make the final call. Because when you define what great looks like before you go looking for it, you stop leaving your most important decision to chance.


Key Takeaways

  • Why 90% of companies miss hiring goals, and why adding AI tools alone won't fix it
  • What "culture fit" actually is, and why it's the most dangerous criterion in your process when no one can define it
  • What competency-based, structured hiring actually looks like in an AI-saturated candidate market
  • How to build a hiring system that doesn't live entirely in one person's head
  • The one question every founder should ask before their next hire, and almost none of them do


Bio

Elina Konstantinidou is a behavioral scientist and founder of noscis, a consulting practice that builds competency-based hiring and evaluation systems for startups and scaling companies, rooted in behavioral science and powered by AI. She built her career inside startups and founded noscis to solve the people problems she kept seeing: companies hiring with no clear definition of success, losing good people to broken processes, and struggling to build and sustain teams that could take them where they needed to go. Her methodology was developed through deep qualitative research alongside leading talent acquisition experts, and continuously shaped by hands-on company engagements and direct feedback from the founders, HR leaders, and talent teams doing this work every day. She holds a Master's in Behavioral and Decision Sciences from the University of Pennsylvania and a Bachelor's in Neuroscience and Behavior & Economics from Columbia University, bringing the rigor of behavioral science to the decisions most companies still leave to gut feeling. She works directly with founding teams and HR leaders as a strategic thought partner, helping them build the systems and training the people who run them. Her conclusion, drawn from hundreds of conversations with founders and HR leaders: the companies that define what great looks like before they go looking for it are the ones that build teams that last.

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