Sunil Dhaliwal - Amplify Partners

Growth from Within: Lenny Pruss to General Partner and Sarah Catanzaro to Partner

Today we are proud to share the promotions of Lenny Pruss to General Partner and Sarah Catanzaro to Partner.

Datadog - Thank You and Congratulations

Congratulations to the Datadog team on your public debut today, it’s an incredible milestone. We are extremely grateful for our relationship with you and for the unique place Datadog occupies in the history of our firm.

Developer

Congratulations Fastly! Reflecting on Seed to IPO

Congratulations to the entire team at Fastly on a successful initial public offering. It’s been incredible to observe the effort and dedication that led you to this milestone. While there is no shortage of work still to do, becoming a public company is a huge milestone that is worthy of reflection.

Team

Welcoming Renee Shah, Amplify’s Newest Investor

I am excited to share the news that Renee Shah has joined Amplify’s investing team as a Principal focusing on our core investment themes in AI, machine learning, and intelligent applications.

Team

Announcing Amplify Partners III

We are thrilled to announce Amplify Partners III, a $200M fund that will enable Amplify to double down on supporting the radically technical founders who apply computer science and machine intelligence to enterprise invention.

Developer

Welcoming mabl to the Amplify family

mabl has a product vision rooted in customer pain, a market opportunity that has been underserved for decades, and most importantly, a can’t-miss founding team.

Team

Welcoming Ted Stinson, our newest Venture Partner

Ted Stinson, Venture Partner at Amplify PartnersWe’re proud to announce that Ted Stinson has joined Amplify Partners as a Venture Partner. Ted began working with us in late 2016 as an Executive

Company Building

Startup Go-To-Market Checklist

We started with the end goal of a startup: to find product market fit and put in place the foundation to scale go to market. Achieving this entailed a combination of things a team would DO - create, implement, build - and things that they had to LEARN - gain insight and validate with data.