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Selling to developers and engineers isn’t like selling to any other buyer. ” The Fix : For technical products with technical buyers, hire sales leaders with engineering backgrounds. They’re skeptical of salespeople, they value technical depth over flashy demos, and they can smell BS from a mile away.
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.
Amplitude (AMPL): +20% YTD Q1 2025 revenue reached $80 million (10% YoY growth) with ARR of $320 million (12% YoY), demonstrating return to double-digit growth Board approved first-ever $50 million share repurchase program to capitalize on stock price dislocations and manage dilution Strategic partnerships with Twilio Segment and AWS expanding enterprise (..)
Imagine telling your board you’re only using 40% of your AWS infrastructure or 40% of your engineering team’s output. The Productivity Multiplier Effect When HubSpot measures AI adoption in their engineering organization, they’re seeing 95% of developers using some form of AI-assisted code generation daily.
AWS, Twilio, Heroku, etc. Makes capacity planning harder : With less visibility into maximum usage requirements, engineering teams may struggle to provision infrastructure appropriately. So does Expensify, which decreases the time to file expenses. Cost-based pricing is when startups mark up the product they sell by some margin.
Head of AI Dialpad: How to Build AI at Scale GTM/ B2B Speakers: CEO HubSpot Yamini Rangan: Going More Multiproduct, Going More AI, and Going More SMB and More Enterprise CEO Dropbox Drew Houston: DropBoxs Third Act: AI & Content Intelligence CEO Calendly, Tope Awotona Open AMA and AI in 2026 CEO Clio, Jack Newton: Reaccelerating Vertical SaaS to (..)
For context,Ron has an MBA and a master’s in engineering from Stanford. Because thats how their customerswho were used to AWS, Azure, and GCP pricingexpected to buy. His view is your sales team teaches your customers how to get value out of your product. You gotta know the product cold.)
Fast forward to the launch of AWS and the public cloud. Now, you still had to go out and hire engineers to build the product, build out the GTM team to build brand and distribution, etc. And now, engineering and distribution (go-to-market) constraints are greatly reduced with AI. So why try and compete now?
We are all becoming prompt engineers now. If your product doesnt leverage AI to improve efficiency or reduce costs, you might find yourself underpricing pressure. One Thing is Clear: AI Makes a Lot of Business Software Look Awfully Expensive Today. Is Deflation Coming? #5. Gross Margins Will Improve for AI-Driven SaaS. And front and center.
With AWS elasticity and real-time observability, FastSpring can make adjustments and scale instantly, ensuring uninterrupted transactions no matter how many players are buying. Moreover, we have an enterprise-grade engineering team that has built and maintains a scalable and resilient cloud-native stack using AWS.
For instance, companies like Sephora and Amazon have deployed AI-driven recommendation engines. AWS explains that intelligent automation (IA) is the process of using artificial intelligence (AI) to make self-improving software automation. Executives also leverage generative AI for idea generation and reporting.
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.
Multi-cloud integration CSPM solutions operate across multiple cloud platforms, including AWS, Microsoft Azure, Google Cloud, and others. This simplifies operations, as development and security teams collaborate more easily, reducing deployment delays caused by security issues. Key capabilities of CSPM solutions 1.
From statewide digital transformation initiatives to university research platforms running on AWS and Azure, cloud services have become essential infrastructure. Cloud providers like AWS and Microsoft Azure dont operate on fixed fees. Schedule a Demo Today Cloud Is Usage-Based. Your Billing Needs to Be Too.
AI Will Reshape Technical Roles in 18 Months (or Less) : Data engineers will become orchestrators rather than code writers. I want to build a better churn detection engine. Business Users Drive More Consumption Growth : The biggest unlock isn’t more data engineers—it’s enabling any business user to query data like ChatGPT.
Integrations PostHog works well with Kafka, Slack, AWS, Google Cloud, GitHub, Tableau, and Looker. Recommendation engine: Suggest tailored products or content to users. PostHogs ability to host data on your servers offers greater privacy control than VWOs cloud-based model.
As Cory Watson, Principal Infrastructure Engineer at Keen , explains: “The ability to integrate API Monitoring into the communications channels our engineers use most often adds tremendous value, and allows us to respond to API failures much more quickly” Runscope also simplifies complex authentication scenarios.
Pros AI Recommendations Engine: Manatals AI helps surface the best candidates for a role by analyzing data patterns, which is incredibly useful for HR teams overwhelmed by large applicant volumes. Once set up, Manatal provides a powerful yet affordable engine to power your hiring in 2025.
With a background that includes leadership roles at AWS, Microsoft, and Lenovo, Fred brings a wealth of experience in building high-performing teams and driving revenue growth. And I know you’ve had some great experience, particularly while you were at AWS, running different partner sales, channel sales. They cannot resell.
As a 25+ year digital veteran, David’s accolades include acquiring and operating many design plugin and theme businesses including WordPress’ #1 theme framework Genesis, and his teams have built plugins monetizing with marketplaces, direct purchase, and in support of SaaS products for top brands like Cloudflare, AWS, WP Engine, and more.
My live experience at the AI Engineer World’s Fair 2025 in San Francisco could be summarized as “extremely intense.” I hope these notes help you get a sense of the energy, trends, and ideas shaping the future of AI and AI Engineering.
Chargeback as a Compliance Engine A true Chargeback platform doesnt just show what departments are usingit bills them based on real, metered consumption, using defendable pricing and allocation rules. That opens your organization up to audit risk, compliance issues, and potential funding challenges.
Userpilots data is fully encrypted and stored with SOC-compliant vendors like Amazon AWS and Google Cloud. Benefit from Userpilots ease of use Not every company has a dedicated engineering team ready to manage analytics and engagement tools. Keeping data protection front and center prevents data breaches, identity theft, phishing, etc.,
14:30 The new battleground: how AI engines like ChatGPT shape discoverability. 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. Quick bio for the listeners. [00:02:00]
In those scrappy early days, the first sales hire sets the tone for your entire go-to-market engine. Culture becomes the engine. With a background that includes leadership roles at AWS, Microsoft, and Lenovo, Fred brings a wealth of experience in building high-performing teams and driving revenue growth.
Our product engineers are empowered to build great features, fast. 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.
Within the next 12 months, Adam Seligman, VP of Generative Builders at AWS, believes there will be an inversion of SaaS. There are a whole crop of coding assistants popping up that can write code and configure infrastructure like Github Copilot and AWS’ Code Whisperer. What does that mean? Your SDRs, what do they do?
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.
Why Customer Success and Product Should be Best Friends: Lessons Learned with AWS’ Head of Customer Success Harini Gokul. The post 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 appeared first on SaaStr.
For the very first time, we’re releasing Engineer Chats , an internal podcast here at Intercom about all things engineering. Previously hosted by Jamie Osler , a Senior Product Engineer at Intercom for over seven years, it’s now up to Principal Systems Engineer Brian Scanlan to pick up the baton and keep the chats going.
Alert fatigue is a common problem among engineering teams that handle operations and maintain infrastructure. The result is lots of semi-meaningful alerts, noise, context-switching, and multitasking for the on-call engineer. Are the steps clear enough to be followed by any engineer on the team? Is the alert still relevant?
From premature optimization to over-engineering solutions for your product, it’s easy to get caught up in making technology decisions that slow you down instead of speeding you up. At Intercom, we’ve found success running Lambda as glue code between AWS services. The top ten technical strategies to avoid. Multi-cloud architectures.
So AI products aren’t electric motors with one or two moving pieces, but more like the gas powered engines with many moving parts. AWS & others have stopped charging to move data. AWS cut prices more than 100 times in its first five years. Plus, data movement is less expensive than in the previous era.
Some of the brightest minds in data founded MotherDuck including BigQuery founding engineer Jordan Tigani & a broader team from Snowflake, Databricks, AWS, Meta, Elastic & Firebolt, among others. Motherduck raised a $12.5M Seed led by Redpoint and a $35M Series A led by a16z.
So follow AWS, Azure and Google Cloud. Let’s look a whole level up to the real canaries-in-the-coalmine: AWS, Azure and Google Cloud. And AWS grew 37% at a $74B run-rate , down a bit from 39% the prior quarter but still adding an insane amount of new revenue. That’s the engine we’re all building on.
This allows us to develop teams of deep domain experts to support and enable product engineers as they build the next generation of Intercom, and provide world class observability tooling, scaling, reliability, and secure-by-default build patterns. . Our tooling allows for high availability.
We swapped the transaction database from PostGres to a blockchain like Ethereum or Sui , and the file storage from AWS S3 to a decentralized storage provider, perhaps Filecoin or ArWeave. That’s enough to confer the benefits of decentralization to users, while giving engineers the tools to build a functional app.
That’s much more work than the automatic credit card payment with AWS. Can you imagine a site reliability engineer managing 15 to 20 tokens, coordinating with finance teams to ensure proper treasury management, while ensuring high uptime? Third, software engineers decentralize only a subset of the app.
Enough to pay some salaries and AWS bills, but it’s not that much. And each month, you barely add enough new revenue to hire just one of those great engineers you need. But it is so slow. You have 2,000 customers now. But at $10/mo, that’s still just $20,000 a month.
AWS can’t support 20 partners equally. When partnering with big folks like Drata does with AWS, you have to bring business to them. Drata was one of three companies mentioned on stage by AWS’ Head of Partnerships because they did the most transactions on the marketplace than any other company. That’s a high value for AWS.
But VPs are still sitting on their computers, struggling to hit their plans, manage their teams, hire the next great engineer, deploy their software releases, and hit their number. Emails get blocked, spam filtered. No one even has voice mail anymore. 50 calls a day feels awfully dated. Everyone gets 10,000 drip email campaigns sent to them.
by Rich Archbold, Senior Director of Engineering at Intercom. In this battle, I’ve found a secret weapon hidden within one of our core engineering strategies, an idea called Run Less Software. When I say “execute”, I don’t simply mean the engineering challenges of building something. The same is true in software.
The “best” sequence for building a repeatable sales engine is roughly: The CEO/founder should close at least the first 10 (or 20 or whatever) customers. It’s to scale a tiny engine into something bigger. But, sometimes a founder is >so< terrible at sales, so awful at it, that literally, it’s hopeless.
Focusing on smaller developers, in some ways it’s been a bit overshadowed by AWS, Azure, and Google Cloud. DigitialOcean doesn’t want to take AWS, Azure and Google on in the enterprise and doesn’t really try. So DigitalOcean is the quiet Cloud platform that keeps on growing. Wow what a story!!
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