This isn’t how most companies are approaching AI in hiring.

We’re giving talent acquisition professionals a live peek into a new approach to technical hiring during a 30-minute lunch session DoorDash gift card included.

Not AI interviewer bots.
Not resume screening 2.0.

A structured, signal-first system designed to help teams automate screening an:

• Reach every candidate
• Evaluate consistently
• Make defensible, high-confidence hiring decisions

This is the method we’ve built at CoderPad, and the one used by some of the highest-performing engineering teams in the world, including companies like Meta, Apple, and OpenAI.

What you’ll see

We’ll walk through the new ideal hiring process and the AI features behind it:

• AI Interviewer: Replace resume review and phone screens with structured, async evaluation
• AI Evaluator: Compare candidates based on real performance, not arbitrary scores
• AI Question Creator: Turn job descriptions into complete, signal-rich hiring processes in minutes

Together, these are a fundamentally new way to hire — one that prioritizes real signal over surface-level impressions, and scale without sacrificing fairness or control.

Join us for 30 minutes, lunch, and a look into what an AI enhanced (not replaced) process.

Your hiring process was designed to find great engineers, but parts of it may be filtering out the best potential talent instead of surfacing them.

The CoderPad team is excited to partner with GBS Worldwide to host a conversation on what most traditional interviews are actually measuring, how common design choices create hidden bias and unnecessary cognitive load, and why candidate experience is more fragile than most teams realize.

This conversation brings together two interesting perspectives on how to design a fairer and stronger interview process that is good for candidates and your employer brand.

Crystal Miller Lay is the CEO and Chief People Officer of GBS Worldwide, and one of the sharpest minds working at the intersection of hiring systems, neuroinclusive design, and behavioral psychology. With over 20 years of experience building and scaling employer brand and talent programs for enterprise organizations, Crystal has made a career of fixing what’s broken underneath hiring — not just the surface symptoms, but the systemic design decisions that shape who gets through and who doesn’t.

Amanda Richardson is the CEO of CoderPad, the platform engineering and talent teams rely on to run technical interviews and assessments that surface real skill. Amanda brings expertise on what signal hiring teams are actually capturing, how assessment design affects outcomes, and where AI is changing what’s possible in technical hiring.

You’ll learn how leading teams are rethinking technical assessment through structured prompts, clearer expectations, and formats that surface stronger engineering signal — without lowering the bar. They’ll cover how to reduce bias while maintaining rigor, and where AI can help scale more flexible, thoughtful hiring processes.

L’IA permet aux candidats de faire bonne impression plus facilement que jamais et rend le vrai talent plus difficile à identifier. Découvrez comment le screening et les entretiens assistés par IA vous aident à faire le tri et à évaluer les compétences techniques réelles lors d’une démo live de CoderPad, le leader du recrutement technique IA-first.

Vous verrez comment CoderPad permet aux équipes de recrutement tech de :

• Remplacer les tests de code obsolètes par des évaluations réalistes et adaptées au poste, qui reflètent la façon dont les ingénieurs travaillent vraiment — IA incluse

• Couvrir l’ensemble du funnel de recrutement — des présélections techniques early-stage aux projets async auto-corrigés, jusqu’aux entretiens live et collaboratifs

• Mesurer les compétences réelles au-delà de la correction du code : résolution de problèmes, communication, collaboration et maîtrise de l’IA

• Réduire le time-to-hire de 20 %+ et économiser plus de 100 000 € par recrutement, tout en prenant des décisions plus éclairées à grande échelle

Si vous avez toujours voulu voir CoderPad en action, c’est le moment. Réservez votre place ici.

In this practical session, we unpack the best ways to assess technical talent, assessment risks, pitfalls to avoid, and how AI is reshaping the way we hire for technical roles. From smarter screening and skills validation to reducing bias and improving candidate experience, you’ll walk away with a better understanding of how to identify high-value candidates.

On the agenda:

• Where AI adds real value (and where it quietly introduces risk)
• What best-in-class teams are doing to assess engineers, developers, and technical specialists with confidence.
• Expect expert insights and actionable tips you can apply immediately to build a faster, fairer, and more effective hiring process.

In this session, Bayo Ojuri from CoderPad and talent strategy expert Kaylee Estes will explore how modern organizations can evolve their screening and assessment strategies to identify future ready technical talent. Attendees will learn how leading companies are combining structured screening, realistic technical evaluations, and improved candidate experiences to make better hiring decisions while reducing recruiter workload. 

The speakers will explore how AI is changing both candidate behavior and hiring practices, and what talent teams can do to ensure their assessment processes remain fair, scalable, and predictive of real job performance. 

In addition, the session will highlight practical frameworks for building a modern screening process that helps recruiters quickly identify qualified candidates while giving engineers the tools they need to confidently evaluate technical ability. The goal is to help talent acquisition teams reduce time spent on unqualified candidates while improving hiring outcomes and candidate experience. 

Attendees will leave with actionable strategies for designing smarter screening workflows, leveraging modern technical interview platforms, and preparing their organizations for the future of technical hiring.

According to Gartner, by 2028, 1 in 4 job applicants could be entirely fake. From AI-generated resumes to deepfake interviews and proxy test takers, misrepresentation is no longer a fringe issue—it’s a growing threat to hiring integrity.

So how do you separate real candidates from increasingly convincing fakes—without slowing down your hiring process?

In this on-demand webinar, industry experts Kellison Rose, Jen Jones, Hannah Rodriguez, and Frank Hauben break down practical, real-world strategies to help recruiting, HR, and TA teams identify and prevent candidate misrepresentation at every stage of the funnel.

You’ll learn how to spot red flags early, strengthen your screening process, and build a defensible system that protects your organization—without adding unnecessary friction.

Whether you’re just starting to notice suspicious patterns or already dealing with sophisticated fraud attempts, this session will give you the tools to stay ahead.

What You’ll Learn

• How to identify the most common signs of candidate misrepresentation early in the process
• Techniques for training recruiters and interviewers to detect and respond to suspicious behavior
• Best practices for documenting incidents in a legally defensible way
• Tools and tactics to verify candidate authenticity in both technical and non-technical interviews
• How leading teams are turning recruiters into a powerful first line of defense

Who Should Watch

This session is designed for:

• Talent Acquisition leaders
• Recruiters and sourcers
• HR professionals
• Hiring managers and interviewers

The issue isn’t volume. It’s signal.

Join CoderPad for a live discussion with an actual customer on how modern talent teams are redesigning their technical screening process to increase early-stage signal, protect recruiter capacity, and accelerate time-to-hire — without lowering hiring standards.

In this session, we’ll cover:

• How to reduce wasted recruiter hours in high-volume pipelines
• How to ensure engineering interviews focus on the most qualified candidates
• How to create a scalable process when hiring needs increase
• How customers are using CoderPad to solve thier high volume hiring challenges

If you’re accountable for hiring targets, recruiter productivity, and engineering partnership, this session will provide a practical blueprint for turning volume into velocity, not friction.

Register here even if you can’t make it live, we’ll send you the recording.

AI is everywhere in hiring — from sourcing to screening to technical interviews. But while adoption is accelerating, many TA teams are left with more questions than answers:

• Are we hiring fewer engineers, or just different ones?
• Is AI helping us improve signal,or making it harder to trust?
• What actually proves skill when candidates can use AI tools?
• And how do we modernize interviews without sacrificing fairness or quality?

In this webinar, we’ll unpack fresh research from over 650 hiring leaders and developers to show how high-performing organizations are adapting their hiring processes for an AI-augmented world without losing human judgment, trust, or candidate experience.

What You’ll Learn:

• Early insights from the 2026 State of Tech Hiring report
• Real examples of how leading teams are adapting interviews today
• Practical guidance on how to achieve faster, fairer, more human hiring in the AI era

Register now to join the conversation and access the research.

Key Takeaways:

• Discover how CoderPad, Gem, and iCIMS are shaping the future of recruitment.
• Learn how to implement innovative solutions to improve hiring efficiency and candidate experience.
• Gain insights into emerging trends and best practices in talent acquisition.

Join MNTN and CoderPad for a behind-the-scenes look at how MNTN embraces AI-native engineering — and how that approach attracts top technical talent.

In this webinar, you’ll learn how MNTN aligns hiring with real-world engineering workflows, evaluates AI fluency in candidates, and sends a clear signal to engineers: this is a place where modern tools, trust, and impact matter.

You’ll Learn:

• What “AI-forward” engineering actually looks like in practice
• How MNTN’s hiring experience reflects real engineering work
• Why AI-transparent interviews attract stronger candidates
• How AI-forward hiring strengthens employer brand and candidate trust

Whether you’re an engineer exploring your next role or a leader building modern teams, this session offers a clear view into what top talent expects today.

Register now to save your spot