The talent war just got brutal. With Meta and OpenAI throwing around million-dollar packages to snag AI engineers, startups face an impossible battle - or do they? Three industry insiders shared their playbook at TechCrunch Disrupt for turning equity into a weapon that can actually compete with Big Tech's unlimited cash.
The numbers are staggering. Meta is reportedly offering $300 million packages to top AI talent, while OpenAI has crossed the million-dollar threshold for key engineers. For cash-strapped startups, this seems like game over - but three experts at TechCrunch Disrupt say that's exactly the wrong way to think about it.
"Startups shouldn't try to compete with big tech companies anyway," said Yin Wu, co-founder and CEO of equity management platform Pulley, speaking at the October event. The reason? Different types of companies attract fundamentally different candidates. While established tech giants appeal to those seeking stability and massive paychecks, startups draw risk-takers who want to build something from scratch.
The key is flipping the script on compensation entirely. Instead of trying to match Big Tech's cash, startups should double down on what they do have - equity upside and the chance to own a piece of something potentially massive.
"My pretty strong opinion when it comes to equity for a startup is that you should be more generous than what you think you should be," Wu told the audience. "I think it's unlikely, if the company is really successful, you're going to look back and say, 'man, I gave away too much equity of everyone that was at my company trying to make this company really successful.'"
Randi Jakubowitz, head of talent at 645 Ventures, backed up this approach but with a crucial caveat - accountability. Being generous with equity doesn't mean being reckless. "When a startup is looking to make a competitive offer, they should set clear goals for the person they are hiring to ensure that hire lives up to the compensation they are getting," she explained.
The vesting cliff becomes critical here. "Make sure you understand what the implications are from a vesting cliff standpoint," Jakubowitz warned. "That's where, if you don't move quickly if someone's underperforming, that's equity that you'll never get back if they are fully vested. Make sure that there's very clear accountability."
But here's where most startups mess up - they think they need to nail their compensation strategy perfectly from day one. The panel said that's not just wrong, it's counterproductive. What matters is building fair foundations that can evolve.
Pulley demonstrates this approach in practice. Wu's company pays set ranges for each role regardless of location and consistently builds compensation packages with equity offerings in the 90th percentile. "Having this framework allowed us to be able to grow and say 'great, as the company continues to do well, the actual number of shares you receive is going to differ because the value the companies differ, but that framework is still applied," Wu explained.
This systematic approach isn't just about fairness - it's about avoiding legal landmines. Rebecca Lee Whiting, founder of Epigram Legal and fractional general counsel, pointed out that standardized frameworks help companies avoid offering unequal pay across candidates of different genders, which is both ethically problematic and illegal in states like California.
The experts agreed on a counterintuitive truth: perfection is the enemy of progress when it comes to startup compensation. "It's not something that you have to get right out of the gate," Whiting said. "You will likely have to do clean up post the Series B and acknowledging that is okay. But don't try and get it perfect out of the gate when you're hiring your first few people."
This approach requires a fundamental mindset shift. Instead of viewing compensation as a zero-sum battle against Big Tech's cash reserves, successful startups frame it as offering something entirely different - the chance to build wealth through ownership rather than just collect a paycheck.
The timing couldn't be more critical. As the AI boom creates unprecedented salary inflation at the top end of the market, startups that master equity-based compensation will have a sustainable competitive advantage. Those that try to play Big Tech's cash game will find themselves priced out entirely.
What's emerging is a two-tier talent market: one where established giants compete on cash, and another where startups compete on upside potential. The companies that understand this distinction - and build their talent strategies accordingly - will be the ones that survive the current hiring apocalypse.
The days of startups trying to outbid Big Tech on salary are over - and that might be the best thing that ever happened to the startup ecosystem. By embracing generous equity packages, standardized frameworks, and long-term accountability, startups can offer something Meta and OpenAI simply can't: genuine ownership in the next big thing. The companies that master this approach won't just survive the talent war - they'll redefine what winning looks like.
