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Scaling Customer Success from 0-5,000 Customers with Drata’s VP of Customer Success and VP of Customer Experience

SaaStr

Drata VP of Customer Success Management, Wen Yao, and VP of Customer Experience, Ashley Hyman, share how to scale customer success from 0 to 5,000 customers. When Drata took this approach, it helped them scale to 5,000 customers, all within 3.5 Every touch point matters, but you can’t scale like this.

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How to Successfully Bring AI Products to Market at Scale with GitHub’s CRO

SaaStr

At this year’s SaaStr AI Summit, GitHub CRO Elizabeth Pemmerl shared how to bring AI products to market at scale successfully. With 90% of the Fortune 100 on GitHub and 40% of its $2B revenue coming from AI products, these real-world examples will also help you launch an AI-powered product at scale. The next horizon is scaling.

Scale 261
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Scaling 6 Products to $100M+ ARR Each: Samsara’s CPO Kiren Sekar on Multi-Product Growth

SaaStr

Samsara was intentionally multi-product from the earliest days, and they carefully planned out scaling 5+ products to $100M+ ARR. Kiren Sekar, Chief Strategy Officer and founding team member at Samsara, came to SaaStr Annual to do one of our best deep dives even on going multi-product.

Scale 259
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A Founder’s Guide to Building and Scaling Marketing Channels: Lessons from Datadog’s CMO and First Marketing Hire

SaaStr

He spent over eight years scaling their marketing from zero to supporting a multi-billion dollar public company. He came to SaaStr Annual to share his top learnings scaling Datadog’s GTM. Enlarge : Once validated, scale it up significantly to find the ceiling. Negotiate with vendors for smaller initial commitments.

Scale 209
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Managing Product Feedback at Scale

With so many voices competing for attention, you need a means of effectively dealing with all of the data that will come your way. How to make more strategic product roadmap decisions based on data, not opinions. In this eBook, we’ll show you: How to gather, prioritize, and select the best ideas from your customers and stakeholders.

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Snowflake Buys Crunchy Data for $250m, Databricks Buys Neon for $1B. The New AI Database Battle.

SaaStr

Billion PostgreSQL Battle for AI Agent Supremacy Brief Overview : Two data giants are making strategic moves to dominate the AI agent infrastructure market through major PostgreSQL acquisitions. The Neon team engineered a new database architecture that offers speed, elastic scaling, and branching and forking. Databricks: The $1.25

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CEO Systems: 5 Key Lessons for Scaling Through Every Growth Phase with HashiCorp CEO Dave McJannet

SaaStr

And CEO David McJannet came to SaaStr Annual a little ways back to share his top scaling learnings. CEO Dave McJannet shared his systemic approach to scaling companies through distinct growth phases. The best leaders have experience with both startups and scale to navigate the in-between. 30-100M: Scaling phase.

Scale 173
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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources.

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How Collecting and Managing the Voice of the Customer Will Strengthen Your Product

Unfortunately, even the most sophisticated organizations often lack clear strategies and processes for collecting and managing the voice of the customer at scale—or worse, they simply ignore this valuable source of data.

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Value-Driven AI: Applying Lessons Learned from Predictive AI to Generative

Speaker: Data Robot

Most enterprises have now experienced their first successes with predictive AI, but the pace and scale of impact have too often been underwhelming. Enterprise AI maturity has evolved dramatically over the past 5 years. Now generative AI has emerged and captivated the minds and imaginations of leaders and innovators everywhere.

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Build Trustworthy AI With MLOps

In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions.

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Managing Product Feedback at Scale

With so many voices competing for attention, you need a means of effectively dealing with all of the data that will come your way. How to make more strategic product roadmap decisions based on data, not opinions. In this eBook, we’ll show you: How to gather, prioritize, and select the best ideas from your customers and stakeholders.

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Upgrading Data Security in a Crisis

Speaker: M.K. Palmore, VP Field CSO (Americas), Palo Alto Networks

In most cases, the COVID-19 crisis has sped up the desire to engage in digital transformation for medium-to-large scale enterprises. In this webinar, you will learn: The future of data security. How to update existing tech stacks to optimize data security. Roadmaps are rarely implemented without challenges. And much more!

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? Save your seat for this exclusive webinar today! March 14th, 2024 at 9:30am PDT, 12:30pm EDT, 4:30pm GMT Use this webinar to earn professional development hours!

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. May 20th, 2025 at 12:30 PM PDT, 3:30 PM EDT, 8:30 PM BST