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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.
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.
Why Customer Success and Product Should be Best Friends: Lessons Learned with AWS’ Head of Customer Success Harini Gokul. Successful co-innovation for our customers needs strong partnerships between Customer Success and Product Leadership. Customer Success is a team sport – we play well with Sales and Solution Architecture.
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.
The reality was that they were heavily relying on the enterprise deals closed by the leadership team. Even after that exciting third year of growth, leadership at Treasure Data began noticing the lack of product-market fit. Commoditization From AWS & Google Cloud. million and $1.2 million deals led by the founders.
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.
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.
Consider the scenario: There are a handful of skilled engineers in Silicon Valley. It includes leadership development courses, and responsibilities of managing and hiring one or two reps to get experience. . But are those factors really going to carry the company long-term, or could another competitor outstrip them?
Come and hear about the typical pitfalls (and how to avoid them) from Pat Poels, an executive with over seven years under his belt leading Eventbrite’s now 300+ strong engineering team that sits across North America, South America, and Europe. I started right at the end of 2011, and I started in the role of VP of engineering.
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.
Our leadership team is fully engaged in the active management of our response during this challenging period. All of Intercom’s production infrastructure is provided as a service to Intercom by Amazon Web Services (AWS). All of our recovery and resilience mechanisms are tested regularly, and we update processes as required.
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.
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.
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.
Does it cost so, so much to host a few million lines of code on AWS? The renewals, upsells, and pre-paid contracts just are cash engines if you are growing fast enough. Why did sales-driven Qualtrics get to $100m+ in ARR without ever raising a nickel, and generating more than $20m a year in free cash flow ? So is SaaS cursed?
They had open cores and created enterprise features around it to protect the business model until it got torpedoed by AWS early on. You’ll notice an evolution in how you approach customers, board meetings, and leadership. But eventually, it becomes engineering. Engineering is where customer success is horribly underrepresented.
When you go upmarket, they’ll likely want you to integrate with some legacy technology, like MS Dynamics or AWS. Technical integrations and partnerships are almost as important as commercial ones, and you want to make sure your product and engineering team can support that. Finally, don’t forget about service partners.
Putting together a job description for a Growth Engineer? The below tidbits are taken from 30+ job descriptions for Growth Engineers, all from tech companies such as Asana, Airbnb, AdRoll, Cybercoders, Mircosoft, UXPin, and Zenefits, to name a few. What do all these job descriptions tell us about growth engineering? Innovative.
Get your leadership team together, re-evaluate each juncture in your GTM process from customer discovery to upsell, and re-imagine a better way to engage your customers using these new advancements in AI. A few years ago, each of your teams would have run out to buy the latest AI point solution because of FOMO. See more top GTM jobs here.
And so when Amazon called me and they’re like, “Hey you want to come with us and do you want to actually start the mobile services, backend business within AWS?” David: Maybe you can talk about that transition, coming from a business like AWS to financial services, which I think was new for you.
Products like Amazon Web Services (AWS) and the rise of engineering talent globally have reduced the barrier of entry for software startups in recent years. Building a culture of transparency needs to start at the leadership level if you want it to cascade through every part of the organization.
Eoghan would do visual design; Ciaran, David, and then later on, Darragh, would start to engineer it. And everyone, in most product-led start-ups, everyone is basically the product team, or the R&D team – designers, engineers, PMs, et cetera. So that’s one challenge, just the internal product engineering teams themselves.
Eoghan would do visual design; Ciaran, David, and then later on, Darragh, would start to engineer it. And everyone, in most product-led start-ups, everyone is basically the product team, or the R&D team – designers, engineers, PMs, et cetera. So that’s one challenge, just the internal product engineering teams themselves.
We’ve all seen AWS and what they’ve done with their platform. They’ve got some incredible initiatives, particularly in the engineering and coding org about how to make diversity and inclusion a strategic advantage for them. Leadership can really turn around really any area of the company.”
It was around that time about 12 years ago that Jeff Bezos launched AWS, and some of you may remember that, when he did this, Wall Street analysts were looking at him and saying, “Why would you take what’s already a very unprofitable business and drive it further into the red by investing in this AWS initiative?”
In about 2002, I got into more of a leadership position for satellite offices of larger companies. I spend most of my day on SalesRight and its roadmap, helping our customers and working with the engineering team. But I do enjoy running an awful lot. I’m going to date myself. I started with Java 0.9
The goal behind this framework was to create more of a growth engine that integrates the people, the technology, the data, the buyers, content, orchestrates it across the customer journey to be able to make the biggest impact. I think maybe once we saw the deck that they were using and it was pretty awful.
Cloud technologies (bonus) : Familiarity with cloud platforms like AWS or Azure can give you an edge in the job market. Best blogs for business intelligence analysts Blogs offer a wealth of information, from how-to guides and tutorials to thought leadership pieces and industry news. Consider courses on DataCamp or Codecademy.
At Snowflake, he was the first rep and single-handedly built the outbound-engine on the way to scaling the business from pre-revenue all the way past $150M+ in ARR. Staffing a team of field sales, inside sales, and sales engineers in lockstep. The secrets to effective leadership and management. We started building that in 2012.
” Was obsessed with mathematics, went to college at 16, became an engineer. Thought I wanted to be an engineer, quickly realized I actually prefer the customer facing side of the startup world. There’s no UX engineer. Grew up on a farm, which everyone’s always like, “What do you mean?”
I’m not a lawyer, I’m actually an engineer by classical training, and it’s been a fun and interesting ride to work with this community. Not me personally, but a bunch of smart PhDs and software engineers, they’re the ones that can make it a reality. So we’re excited, we stumbled into this journey.
Best of all, the types of smart people that you run into in tech run the gamut from highly technical software engineers, to massively creative designers and marketers, to analytical data wizzes and finance experts. There’s an awful lot of nuance here and the devil is in the details.
Senior Product Manager (6-10 years) : This is a leadership role that involves overseeing the entire product team. Product specialists can use it to suggest enhancements to design and engineering teams. You can even transition into leadership roles in marketing and sales. AWS Certified Solutions Architect for tech products).
That’s certainly true in developer tooling (AWS), sales and support (Salesforce), MarTech (Adobe), commerce (Square), HR tech (Workday) and even vertical markets (Veeva). In-product guides and email cadences are low cost ways of steering users towards activation without engineering work or new customer success headcount.
Bonus points : Experience with cloud platforms (AWS, Azure, GCP). Data scientist’s main responsibilities The three responsibility pillars of a data scientist encompass Data Acquisition and Engineering, Data Analysis and Modeling, and Communication and Collaboration. Experience with data visualization tools (e.g.,
It is focused on making collaboration between developers and operations engineers (ops) easier, faster, and safer. Get our Ultimate Guide To Test Automation for a comparison of the most popular, modern software testing tools and test automation engines. There is no wrong answer to this riddle.
What this means for security teams: you should be supported with greater senior executive sponsorship and leadership as non-technical executives realise and accept the scope of change that must be undertaken. Right from front-of-house customer service teams, to senior executives to your most technical developers and engineers.
That’s certainly true in developer tooling (AWS), sales and support (Salesforce), MarTech (Adobe), commerce (Square), HR tech (Workday) and even vertical markets (Veeva). In-product guides and email cadences are low cost ways of steering users towards activation without engineering work or new customer success headcount.
That’s certainly true in developer tooling (AWS), sales and support (Salesforce), MarTech (Adobe), commerce (Square), HR tech (Workday) and even vertical markets (Veeva). In-product guides and email cadences are low cost ways of steering users towards activation without engineering work or new customer success headcount.
One of the most famous lines from Citizen Kane is, “It's no trick to make an awful lot of money, if that's all you want is to do is make a lot of money.” Other types of advertising that fall under the same revenue model include search engine marketing, social media marketing, and mobile advertising.
We’ve done a ton of terrific sessions with the Twilio leadership over the years, including 4 different deep dives with Jeff Lawson, CEO and co-founder. At the end of the day, Twilio still sells communications, AWS still sells servers, but the way we’re selling it is different than how it was done in yesteryear.
And I remember being at that Dreamforce in 2009, which was awful. I love, like to me, the best, sit back, go way back when at Salesforce, some of the best salespeople started as sales engineers, because they knew the product inside it out, but then they also had a real desire to go into sales. ” I’m like, that sounds awful.
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