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A Founder’s Guide to Building and Scaling Marketing Channels: Lessons from Datadog’s CMO and First Marketing Hire

SaaStr

Prior to Datadog, Alex held leadership positions at several high-growth SaaS companies and has a proven track record of building marketing engines that deliver consistent, measurable growth. At Datadog, their first focus was sponsored trade shows – specifically targeting the AWS ecosystem.

Scale 229
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From $1M to $3B ARR: Databricks CRO Ron Gabrisko on Scaling a Revenue Rocket Ship

SaaStr

With Databricks now one of the largest pre-IPO technology companies, with $10 billion of expected non-dilutive financing and a valuation of $62 billion, Ron’s insights are gold for any revenue leader looking to scale. For context,Ron has an MBA and a master’s in engineering from Stanford. You gotta know the product cold.)

Scale 176
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Clouded Judgement - 3.28.25 - The New AI Risk Curve

Clouded Judgement

To make this concrete - if a company got to say ~$25-50m in revenue (I’m making this number up, it’s just illustrative), someone else who is considering competing might be persuaded against it. By the time they got their competitor up and off the ground, that first mover may already be at $100m+ in revenue and at escape velocity.

Cloud 299
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The Complete Guide to SaaS Pricing Strategy

Tom Tunguz

They prioritize revenue growth, market share and profit maximization differently. Maximization (Revenue Growth) - maximize revenue growth in the short term. Many mid-market software companies price with the goal of revenue maximization, negotiating for the highest possible price in each sale. AWS, Twilio, Heroku, etc.

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Session Registration Open for SaaStr Build 2022: Sign Up to Hear HubSpot’s GM, Amplitude’s CEO, AWS’ Head of Customer Success and CircleCI’s CEO

SaaStr

Why Customer Success and Product Should be Best Friends: Lessons Learned with AWS’ Head of Customer Success Harini Gokul. The Builders AND Sellers Playbook: Proven Operational Models that Help Revenue & Product-led Teams Scale to $100M ARR with CircleCI’s CEO Jim Rose. And how about our product teams?

AWS 246
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How Amazon Web Services (AWS) Achieved an $11.5B Run Rate by Working Backwards

Hitenism

In 2006, after Amazon Web Services (AWS) helped pioneer what we now call the cloud, product development changed forever. What once took millions of dollars and a team of engineers to create, a lone developer could suddenly hack together in half an hour. Today, one-third of daily internet users visit websites built on top of AWS.

AWS 189
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The Battle for AI Gravity

Tom Tunguz

Wherever the biggest dataset resided, customers ran their compute workloads that generated all of the profit and revenue growth for the last generation of data companies. So AI products aren’t electric motors with one or two moving pieces, but more like the gas powered engines with many moving parts. History will rhyme with AI.

AI 306