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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. At Datadog, their first focus was sponsored trade shows – specifically targeting the AWS ecosystem.
Lessons from Ron Gabrisco, CRO at Databricks, who joined when the company had less than $1M ARR and helped scale it to become one of the largest pre-IPO companies in the world. Forgetting That Culture Scales Revenue The Mistake : Focusing only on processes and metrics while neglecting team culture. Do both 10.
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. So we have a mix of both, but I think as we’ve scaled it’s become an advantage. ” The lesson?
This creates several advantages: Immediate scalability : No lengthy enterprise sales cycles Usage-based pricing : Revenue scales directly with customer success Lower customer acquisition costs : Developers can start using APIs instantly Key Pricing : Claude Sonnet 4 is priced at $3 per million input tokens and $6 per million output tokens.
“Lessons Learned in Scaling Databricks, AWS, VMWare and More” with Databrick’s SVP and GM Ed Lenta #3. The Top 5 Lessons Learned Scaling Databricks’ to $1.5B The Future of AI, Open Source and Enterprise SaaS with Databrick’s Founder CEO Ali Ghodsi: #2. ARR with VP Product Nadim Hossain #5.
ARR with 50% growth at that scale 500+ customers consuming at over $1 million annual revenue run-rate 80%+ subscription gross margins (infrastructure companies dream of margins like this) Free cash flow positive for the first time 140% Net Revenue Retention (top decile performance) Growing Twice as Fast As Comps When you’re doing $3.7B
They had: The right hardware architecture (parallel processing) The dominant software ecosystem (CUDA) Strong relationships with researchers and enterprises Manufacturing scale and expertise The B2B Parallel : Companies like Zoom were ready when remote work exploded, or how Shopify was positioned for the e-commerce boom.
💾 Data as the Moat : While others chased AI features, Oracle doubled down on what it does best—managing enterprise data at scale. ☁️ Cloud Migration Momentum : Oracle’s aggressive cloud transformation finally gained enterprise traction, with customers migrating mission-critical workloads that competitors couldn’t easily displace.
100+ scale-ups and start-ups showing you how they do it! With 1:1 Meet-a-VC matchmaking and curated sessions, youll have unparalleled access to the capital you need to scale. From seasoned founders to rising stars, every session is handpicked to deliver actionable insights and real-world strategies to help you scale faster.
Mark Roberge (ex-HubSpot CRO) has emphasized that in scaling sales teams, the percentage of accounts followed up with can drop to as low as 30%-40% if reps are overloaded with leads or if theres no strong lead routing and prioritization system. She’s not talking about AI as another productivity tool.
AWS, Twilio, Heroku, etc. Often, a straight UBP pricing model doesn’t scale into the enterprise. The platform fee establishes a stable relationship and the usage pricing enables the customer to scale up or down as a function of their traffic which might vary throughout the year. How about a 50 person SaaS company?
But that doesnt make your life scaling your start-up any easier. This is probably too conservative, and may sound awfully abstract to founders at earlier stages but if I was a founder at a hot start-up growing quickly today, I wouldnt raise at > a $300m valuation until I was 100% sure I was on the IPO track for real.
And no, this wasn’t all because of leap year last year (that would only account for a ~3% delta at most) The Hyperscalers (AWS, Azure, Google Cloud) also declined net new adds year over year, but not by as much. Net new ARR added was down 28% from Q1 last year. Let’s get into some high level data.
Starting and scaling a software company was really hard. Starting and scaling a software company was really hard. If you wanted to scale users and growth, you needed to scale a physical data infrastructure footprint. ” This used to be how companies scaled! It wasn’t very elastic. What does this mean?
Scytale is now a proud member of the AWS Global Security & Compliance Acceleration Program, offering customers faster compliance roadmaps and expert guidance for secure cloud environments. AWS only picks partners they trust, and now Scytale is one of them! See our official AWS listing here. What is the GSCA Program?
When payment partners fail to adapt to player demand and scale quickly, players leave your web shop empty handed, creating dissatisfaction that could have been prevented. Tailored Scaling for Your Unique Game At FastSpring, we know that every game is different. Predictive planning to anticipate peak demand.
This is a big deal for scaling companiesit means you can deliver more value at a lower cost, which is a competitive advantage. And how the CEOs of Monday, HubSpot, Rippling and more scale. One Thing is Clear: AI Makes a Lot of Business Software Look Awfully Expensive Today. Is Deflation Coming? #5. Don’t Let Costs Be an Excuse.
This fuels a robust ecosystem of AI chips (Nvidia, AMD), cloud AI services (AWS Sagemaker, Azure AI, Google Cloud AI), and SaaS integration (Salesforce Einstein, Microsoft 365 Copilot, Adobe Firefly). AWS Trainium2 & Ultracluster supercomputer details unveiled; embeds 64 Trainium chips, used by Anthropic + Apple trials.
AWS explains that intelligent automation (IA) is the process of using artificial intelligence (AI) to make self-improving software automation. As AWS notes, combining AI (like NLP or generative AI) with RPA lets organizations streamline business operations by automating tasks that involve understanding language or images.
This clean architecture allows DuckLake to manage huge data lakes—with millions or even billions of files—across AWS S3 or Google Cloud Storage. In tests, DuckLake achieved sub-second query planning on a petabyte of data with 100 million snapshots—a scale that other systems can’t handle.
So we were back on 20VC this week in our Latest in Tech deep dive with Harry Stebbings and Rory O’Driscoll of Scale: “The State of SaaS 2025: IPOs, AI, and the Coming Shakeout” The IPO Window Is Cracking Open (Finally) Chime’s $1.67B revenue IPO is the canary in the coal mine.
Multi-cloud integration CSPM solutions operate across multiple cloud platforms, including AWS, Microsoft Azure, Google Cloud, and others. This efficiency is useful in maintaining cloud security at scale, especially as environments grow more complex. Key capabilities of CSPM solutions 1.
Lever Best ATS + CRM for Scaling Enterprises Pricing: Key Features: 10. Note that Workables pricing is based on the number of active jobs and features, not per user, and it can scale to support large hiring campaigns. Higher Cost at Scale: Workables pricing can become expensive for larger hiring volumes (especially the Premier tier).
It manages challenges at scale by handling tasks like authentication, protocol translation, and message queuing, while improving performance with dynamic routing and load balancing. The platform’s monitoring tools handle large-scale demands, with over 65 million uptime, performance, and data validation checks conducted monthly.
The Infrastructure Math Is Unprecedented The Capital Intensity Is Off The Charts: Big Six tech CapEx: $212B annually (63% YoY growth) Microsoft AI business: $13B run-rate (175% YoY growth) NVIDIA data center revenue: $39B quarterly (78% YoY growth) Amazon AWS CapEx as % of revenue: 49% (vs. 80% cheaper than predecessor, costs 0.2% The Next 2.6B
ARR data cloud leader is adapting to AI disruption, the evolution of technical sales, and what it really takes to build strategic partnerships that scale. At SaaStr, we’ve seen everything from scaling revenue to product-market fit. This unique relationship reveals how the $4.5B
Integrations PostHog works well with Kafka, Slack, AWS, Google Cloud, GitHub, Tableau, and Looker. Developers working on large-scale software or apps use it for better experiment management and ease of use during updates. PostHogs ability to host data on your servers offers greater privacy control than VWOs cloud-based model.
The GTM Podcast is available on any major directory, including: Apple Podcasts Spotify YouTube Fred Viet serves as the Chief Sales Officer at Aircall, overseeing global sales and playing a key role in scaling the company’s reach over the last four years. Where in Australia, you can be a bit scrappy. Scott Barker: Yeah, that makes sense.
Meanwhile, Adobe , SAP , and AWS lean on CHAMP to navigate intricate, multi-stakeholder sales processes. Overall this is a company that can support businesses at scale, yet nimble enough to deliver exceptional customer service. Learn More Patrick I.
Choosing a tool that can scale with your organization without breaking a sweat is definitely recommended. Integration with Existing Systems For disruption-free workflows, choose a HIPAA compliance tool that integrates seamlessly with the tools your company already uses, like Google or AWS.
With Scytale’s compliance automation platform, MSPs can seamlessly scale compliance offerings to their clients, increase efficiency, and improve customer satisfaction. However, attempting to manage compliance at scale can be overwhelming as well as resource-intensive.
Scalability and security Built to scale with your business, with enterprise-grade security measures to protect your data. Its hosted in AWS and SOC 2 Type 2 compliant. Its engagement features scale customer success and support operations by building meaningful customer relationships. HubSpot dashboard.
AI at Scale: 8 Learnings from monday.com Co-Founder and Co-Ceo Eran Zinman #3.Top How AI is Really Changing SaaS From the CEO of Procore, co-CEO of Monday and Chair of HubSpot #5. One Thing is Clear: AI Makes a Lot of Business Software Look Awfully Expensive Today. Is Deflation Coming? Top Pods and Vids: #1.
AWS, Azure, SaaS providers) Self-service visibility for internal stakeholders and finance teams BluLogix helps public sector IT organizations implement these capabilities without overhauling existing ERP or finance systems.
OnRamp is hosting a CCO Happy Hour from 5-7 ahead of the CCO Summit on Wednesday The AI Frontier Scaling Agents & Driving Innovation in SMB and Enterprise side event from 6-8pm in Mountain View with Nebius, CEO of Otter.ai, VP AI at EvenUp, CEO HeyBoss AI, and more. CFOs and VPs of Finance with tickets are invited! Will be fun!
They work with startups and scaling businesses to help take HR off your plate, so you can stay focused on building product, growing revenue, and hiring great people – the go-to-market engine. Everyone called, well, okay, that’s, that was awful, so that’s gotta be the bottom right. Thats where TriNet comes in.
That’s not being fair though; we need major players like MS who can deliver necessary, massive-scale platforms, and they need to flog the sexy bits so they can sell the boring ones; no margin, no mission, as they say. It’s also not fair in that, as with Microsoft, Barth and AWS actually had interesting things to show off.
“AWS’ AI business is a multibillion-dollar revenue run rate business that continues to grow at a triple-digit year-over-year percentage and is growing more than 3x faster at this stage of its evolution as AWS itself grew, and we felt like AWS grew pretty quickly.” GCP 23 35 52.2% Azure 26 33 26.9%
The RevOps Playbook: Owner.com CROs Secrets to Scaling #4. Top Posts: #1. 5 Interesting Learnings from Procore at $1.2 Billion in ARR #2. One Thing is Clear: AI Makes a Lot of Business Software Look Awfully Expensive Today. Is Deflation Coming? #3. The Future of AI in B2B SaaS: Insights from Synthesia and Theory Ventures.
Hello and welcome to The GTM Newsletter by GTMnow – read by 50,000+ to scale their companies and careers. Over the years, he built and scaled a world-class sales organization, creating a team that generated hundreds of millions in revenue. For Outreach, that threshold was 25 deals.
Amazon/AWS and Atlassian both had huge Q2’s. But both Atlassian and Amazon/AWS said … Maybe Not As Much Going Forward, Not Forever. The post Atlassian and AWS Say: “Maybe Worry a Little Bit” appeared first on SaaStr. IT budgets come from the cash generated from selling end products to people.
cons is closer to 16% growth — Jordan Novet (@jordannovet) April 13, 2023 So Amazon came out with its latest annual shareholder letter and it was even more cautious on AWS growth than I was expected. AWS said they weren’t going to push folks to sign punitivate contracts, or block downgrades, etc. Lower than I predicted.
Atlassian noted a decline in Free to Paid conversion, but importantly, no decline in demand for their products: Amazon: We’re Seeing Strong But Slowing Growth at AWS to 28%, Albeit at a Stunning $82B Run Rate. Cloud Giants Update: AWS (Amazon): $82B run rate growing 28% YoY (last Q grew 33%). More on that here.
For this reason, we chose to run exclusively on AWS and wherever possible, we make use of battle-tested AWS services, be it RDS Aurora for our relational databases, the Simple Queue Service (SQS) for our async workers or ElastiCache for our caching layer. This post is a version of a talk I gave at Elastic Community Conference recently.
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