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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.
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.
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.
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.)
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.
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.
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.
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.
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.
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.
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!!
Historically, Cloud platforms like AWS and Azure help with the sporadic needs of renting a GPU for a few hours for training vs. long-term use, which would cost thousands of dollars. If someone doesn’t want to switch from AWS because AWS has partnerships with OpenAI, they have tradeoffs.
Founder CEO Todd McKinnon was VP of Engineering at Salesforce and left to start Okta in the depths of the last downturn. Seat Contractions Have Brought NRR Down From 120% to 111% While 111% NRR is still quite an engine at this scale, the drop in NRR from seat contractions explains a good chunk of the headwinds Okta has seen. #2.
In engineering, you want to move fast, ship often and solve real customer problems. It means reducing choices amongst engineering teams and standardizing technology, so our team can spend as much time as possible delivering value to customers. Rich: Today I’m the Senior Director for Foundations Engineering at Intercom.
Various roles in your organization, like data scientists, data engineers, application developers, and business analysts, can access data with their choice of analytic tools and frameworks. The conference features talks from practitioners and open-source leaders from the ecosystem from Netflix, Microsoft, Expedia, AWS, and Preset.
We all know this from AWS and Twilio on down, but Fastly is a visceral reminder. Just 58 sales professionals (vs 151 in R&D/engineering). 34% of engineering team in SF. It’s also a great one to learn from, at $200m+ ARR ($45.5m 5+ learnings for founders: Developers control a lot of spend today.
Ari Lee Bayme, Managing Director @ Sandfox Advisors See You There!! Ari Lee Bayme, Managing Director @ Sandfox Advisors See You There!! Ari Lee Bayme, Managing Director @ Sandfox Advisors See You There!!
DuploCloud offers an end-to-end DevOps software platform for dev teams that don’t have dedicated DevOps engineers and augments those that do. The platform automates the provisioning of your application to the cloud (AWS, GCP, Azure), integrating cloud ops, DevOps, and security/compliance with 24×7 monitoring and support.
A Rockstar engineer really is 10x better than the next tier. If you don’t think you need a great VP of Sales, Product, Marketing, Customer Success, and Engineering — then all that all that means is you’ve never worked with a great one. He or she doesn’t have to jump start the engine. It’s true.
The team is typically highly cross-functional, working together with sales, product, engineering, and marketing, and the goal is to help the other teams make better decisions through data and financial modeling. In 2014, storage had historically been Dropbox’s most significant cost driver, with hundreds of millions of dollars spent on AWS.
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. And finally hiring a real management team.
You’re now pulling engineers to answer security questionnaires, and you’ve just learned that getting a SOC 2 report will take 6-8 months to prepare for the audit, plus another 6-12 months to complete the audit itself. That is, until you’ve got a major enterprise deal close to the finish line. 5 – Configure Your Infrastructure.
Commoditization From AWS & Google Cloud. Every piece of marketing collateral had to be rewritten, and the needed AE background shifted from an engineering focus to a marketing and business focus. No matter what VP of Sales they hired, sales consistently failed to meet their quota. Competition in the market rose sharply.
If you go back 10-15 years, when people ask about build vs. buy for the long-term, people would consider building their own data center if they were spending $100k/month on AWS. Today, companies spend over $10M/month on AWS — companies like Lyft, Pinterest, and Stripe.
As it turns out, he’s also quite the writer – since the last time we spoke , he has published not one but two books on engineering. After writing An Elegant Puzzle about the challenges of engineering management in high-growth organizations, his focus shifted to a career path that’s much less understood – the technical leadership track.
Mai-Lan Tomsen Bukovec, Global Vice President for AWS Storage will deliver one of the keynotes. Data engines query the data rapidly, inexpensively. If you’re curious to learn more about cloud data lakes and engines, come to Subsurface. This time, the conference will build on the foundation from last year’s event.
For example, Google and AWS are already ZoomInfo customers, but only certain sub-segments within those businesses – not the entire org. they t hen build out this decision-making engine to help you decide which companies you should engage with today, based on a predicted propensity to buy, and also how to interact with those buyers.
From my experience, the three options are usually: I don’t want my engineers to even be able to pronounce Kubernetes I want my engineers to understand how to manipulate pipelines and automation I want my engineers to understand the whole stack and use DevOps as a way to deliver features.
Backed by an army of developers, data engineers, and finance professionals, this events-based billing model allowed these large companies to directly link the value that their services provided with the cost presented on a customer’s invoice. How AWS Does It. What Amazon Web Services and Twilio Get Right.
In the cloud, AWS, Azure, & GCP have created about as much market cap as all the top 100 B2B & B2C publics built on cloud (Netflix, ServiceNow, AirBnb, etc). Startups can integrate with a plug-in, build a prompt-tuning engine (a little model on top of a bigger model), or develop & train their own models.
It required our engineers to dig into logs and combine all the relevant information of what happened to a user object at any given moment in time. AWS Lamdba takes care of everything required to run and scale code with high availability. Grepping logs is not scalable and involves a lot of manual work, which is prone to mistakes.
Most sophisticated data teams run like software engineering teams with product requirement documents, ticketing systems, & sprints. Semantic understanding of code and ephemeral developer environments enables data engineers to reduce costs and work more fluidly together (SQLMesh).
How many sales reps, how much marketing spend, how many engineers will you really need? What will your ACV really be? How can that scale over time? What evidence is there that you can charge what you think you’ll be able to? What will it really, truly cost? How will your conversion funnel work? How will you fund it?
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