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Microsoft Pays Its AI Engineers 48% More. What About You?

SaaStr

"Software engineers working in AI earned 48% more than the average software engineer at the company, according to a payroll spreadsheet shared with BI." The AI Team at many SaaS startups makes 30%-40% more. It creates issues and drama.

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Adding AI to SaaS: Inside the AI Product Strategies of Figma, Cloudflare, GitHub and Ramp

SaaStr

The speakers included Mario Rodriguez, Chief Product Officer at GitHub at GitHub, Diego Zaks, VP of Design at Ramp, Dane Knecht, SVP of Emerging Technologies at Cloudflare, and Vincent van der Meulen, Design Engineer at Figma, and Dani Grant, CEO at Jam.dev. ” Figma envisions a “role collapse.”

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The Early Days: How Veeva Hit $100m ARR With Just $3m Raised — And a Deep Vertical Focus

SaaStr

Veeva founder CEO Peter Gassner came to SaaStr to share just how they got to the first $100m ARR selling enterprise vertical SaaS … while raising only $3 million (!). annual return since IPO – one of the most successful vertical SaaS stories ever built. market cap – up from $2.4B market cap – up from $2.4B

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AI is On Fire. But Will There Be Enough Decacorn Exits?

SaaStr

What Separates Future Decacorns The companies that will break through the $10 billion barrier share specific characteristics that go far beyond traditional SaaS metrics: Scale Requirement s True decacorn candidates operate with 500-2000+ employees and demonstrate the ability to scale operations across multiple geographies and market segments.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation metrics for at-scale production guardrails.

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Mastering Growth in the AI Era: How to Stand Out, Acquire Customers, and Raise VC Dollars with B Capital, Zetta, and Glasswing

SaaStr

Software engineering teams have been early adopters of AI coding assistants precisely because they provide an immediate, measurable lift. Laiva Becoming the platform of choice for life science companies and research institutions by creating a two-sided marketplace with significant SaaS components. This is exactly backward.

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June 30, 2025: The Date Where If Your Team Hasn’t Rolled Out Truly Great AI Into Production Yet… It’s Time to Reboot the Team

SaaStr

The Talent Reckoning Here’s what I’ve learned from talking to 200+ SaaS founders over the past six months: The companies shipping great AI aren’t necessarily the ones with the biggest AI budgets or the fanciest ML infrastructure. The $939B Question: Is AI Eating SaaS or Feeding It?

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