SaaStr
MAY 23, 2025
When SaaStr Fund made the first investment in RevenueCat back in 2018, nobody could have predicted that this “simple API for managing in-app subscriptions” would become the infrastructure powering 33% of all mobile subscription apps and reach a $500M valuation in 2025. ” required weeks of developer time to answer.
SaaStr
MAY 29, 2025
By the end of this quarter, team members who aren’t genuinely AI-curious should be let go. The 50/50 Team Is Coming Fast. CROs will need to manage teams that are 50% AI agents and 50% human by end of year. The performance distribution in sales teams will become dramatically wider, forcing tough talent strategy decisions.
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SaaStr
DECEMBER 20, 2024
Having led sales teams of 500+ at BILL and 800+ at HubSpot, Michelle has unique insights into what makes great frontline managers and why investing in them is crucial for sustainable growth. “Some teams consistently sold more enterprise SKUs, others had high volume but low ACV. Shaping and maintaining company culture.
SaaStr
APRIL 28, 2025
If you’re skeptical about AI in sales because of hallucinations or poor experiences, Lemkin suggests it’s likely because you haven’t seen a well-trained AI. While not replacing the absolute best humans, they’re better than 90% of the team. Training takes work, but the results are game-changing.
SaaStr
JULY 30, 2024
Okta’s VP of Engineering, Monica Bajaj, and Senior Director of Platform Product Marketing, Priya Ramamurthi, share Okta’s playbook to PLG, developer experience, and Enterprise ARR. How do you build a stellar developer experience and continue to scale when the user base skyrockets overnight? Let’s start with product-led growth (PLG).
Intercom, Inc.
JULY 2, 2020
But obsessing over efficiency can mask what’s most important, and most rewarding, to support teams – actually helping customers. Support teams exist to solve customers’ problems, not to deflect them or find the fastest way to hit the “close” button. In her own words , “When you take care of your customers, the revenue comes.”
Intercom, Inc.
OCTOBER 13, 2020
ML products also require us to manage relatively large technology risks – this is an area where, unlike in most other product development, technical limitations might render the entire design impossible. It’s also easy to over- or under- invest in the technology. Balancing risks in machine learning development.
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