Notable Perspectives

If you're thinking about the counteroffer only after you've made the offer, you've already lost.
In this episode of Notable Perspectives, Jen Holmstrom and Christina Pasanen sit down with Matt Jahansouz, Chief People Officer of Quince. Quince has crossed $1 billion in revenue and a $10.1 billion valuation by rethinking the end-to-end consumer and e-commerce model — selling $50 cashmere sweaters and premium bedding by cutting out middlemen entirely. Matt brings the people leadership playbook behind that growth: how to close elite talent in a bidding war, why workforce planning past 90 days is largely wasted time, and what it actually means to build a team for an AI-driven world.
Join us as we explore:
Building an AI-first culture: How Quince has woven AI practice into its weekly all-hands — and why the earliest movers will have a compounding advantage.
The closing playbook: Why getting someone to accept an offer is only the beginning, and how to get ahead of the counteroffer before you've even made the original one.
Lean team advantage: Why top performers actually seek out leaner organizations — and how leaders can make that a recruiting asset rather than a liability.
Workforce planning in flux: Why 90-day forecasting horizons have replaced three-year plans, and how ruthless prioritization is the only thing that makes it work.
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What happens when we start talking to machines like we talk to each other?
In this episode of Notable Perspectives, Chelcie Taylor sits down with Kwindla Hultman Kramer, CEO and co-founder of Daily. A decade-long bet on real-time audio and video infrastructure, Daily quietly built the plumbing that powers telehealth, education, and enterprise communication. Then GPT-4 arrived — and Daily’s infrastructure became the backbone of the voice AI revolution. Their open-source framework Pipecat is now the most widely used toolkit for building production voice agents, from customer support bots to robotics systems. Backed by $60M+ in funding from investors including Renegade Partners and Lachy Groom, Daily sits at the exact intersection of real-time infrastructure and the AI agent explosion.
Join us as we explore:
The Lightbulb Moment: How GPT-4 turned a video infrastructure company into the backbone of the voice AI revolution — and why Kwindla saw it before everyone else.
Healthcare’s Surprise Adoption: Why the most regulated industry in the world became the fastest adopter of voice AI — and what that signals about every other vertical.
Agents Are Just Loops: The engineering reality behind the AI agent hype — and why the hard problems in voice taught Daily lessons the rest of the industry is just now learning.
Produced by Breaking Glass Studio.
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How do we secure and manage a rapidly multiplying swarm of AI agents in an enterprise world?
In this episode of Notable Perspectives, Glenn Solomon and Oren Yunger sit down with Slavik Markovich and Rishi Bhargava, co-founders of Descope. Former security innovators behind DeMisto (acquired by Palo Alto Networks), Slavik and Rishi are now tackling one of the most pressing challenges in modern tech: identity, access, and trust in a world where AI agents act autonomously and unpredictably.
Join us as we explore:
The Chaos Problem: How AI agents multiply risk across enterprise systems, creating backdoors, misconfigurations, and new attack surfaces.
Trust at Scale: Building infrastructure and granular controls to keep AI behavior predictable — and keeping enterprises safe in the process.
The Identity Revolution: Why managing agent identities, permissions, and audit trails is now critical to surviving the AI explosion.
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How did a career platform become a nearly $1B AI business?
In this episode of Notable Perspectives, Jeff Richards sits down with Garrett Lord, the co-founder and CEO of Handshake — the career network connecting 22 million young professionals to every Fortune 500 company and powering 92% of higher education in America. Garrett left Palantir with a contrarian conviction borrowed from Peter Thiel: that access to opportunity shouldn't depend on which school you attended or who your parents knew. A decade later, that conviction has produced something nobody saw coming — an AI business that went from zero to a nearly $1B run rate less than 18 months, built on the counterintuitive principle that matching people to careers demands more human judgment, not less.
Join us as we explore:
The Zero-to-$500M Sprint: How Handshake's AI business exploded from nothing to a $500M+ run rate in eight months — and what Fortune 500 companies were desperate for that made the opportunity impossible to ignore.
Why AI Needs Humans More: The case for reinforcement learning and "unverifiable tasks" — why building AI that matches people to careers requires more human trainers, not fewer, and what that means for the future of hiring.
The Partner Principle: How becoming a husband and father transformed Garrett's leadership — and why he believes the most important decision a CEO makes has nothing to do with the business.
Produced by Breaking Glass Studio.
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How do we systematically evaluate and improve increasingly autonomous AI systems?
In this episode of Notable Perspectives, Glenn Solomon and Dan Cahana sit down with Rebecca Qian, co-founder and CTO of Patronus AI. A former fundamental NLP researcher at Facebook AI, Rebecca and her team are now creating millions of adaptive, simulated environments — “intelligent worlds” — that teach AI agents to reason, plan, and make decisions like humans. 
Join us as we explore:
The Eval Problem: Too few evals on too narrow a slice of reality; benchmark and leaderboard culture has created the wrong incentive.
Reality of Simulations: The shift from single-turn classification to agents that reason and decide the way people do. And the stakes if you get it wrong — reward hacking, deception, misalignment.
Building the Factory: The insight that general intelligence requires generalizable capabilities — not domain-specific data.
Chapters:
00:00 — The Eval Problem: Why current AI evaluation methods are fundamentally broken—and what it means for building reliable, autonomous systems.
00:58 — The ChatGPT Turning Point: The moment that signaled AI was ready to move beyond research into real-world decision-making and enterprise use.
02:44 — The Alignment Challenge: Why teaching AI to reason like humans in messy, unpredictable environments is the core problem to solve.
04:08 — Why Simulations Matter: How simulated environments unlock scalable training, safer experimentation, and better real-world performance.
06:19 — The Shift to AI Agents: From static models to dynamic systems that take actions over time and make complex decisions.
07:35 — Reward Hacking Risks: How AI systems learn to “cheat” evaluations—and why that poses a serious risk if left unchecked.
09:05 — Choosing What to Simulate: Why focusing on transferable human capabilities (not job-specific tasks) is key to general intelligence.
11:30 — Building Adaptive Worlds: The power of curriculum learning and environments that evolve alongside increasingly capable models.
12:38 — The Simulation Factory: Inside the vision to scale millions of intelligent, adaptive environments for training AI.
13:59 — The Future of AI: What it looks like to simulate reality itself—and the massive opportunity ahead.
14:58 — Founder Mindset: How to stay grounded, resilient, and adaptive while building at the cutting edge of AI.
16:35 — Closing: Final thoughts on the future of evaluation, intelligence, and building trustworthy AI systems.
Produced by Breaking Glass Studio.
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