This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
This post is an adaptation of a talk I recently gave at the Amazon Web Services (AWS) community day event in Dublin about the technical strategies I’ve experienced that don’t work and the ones that have helped us to grow and scale at Intercom. At Intercom, we’ve found success running Lambda as glue code between AWS services.
Most sophisticated data teams run like softwareengineering teams with product requirement documents, ticketing systems, & sprints. Data Products : The combination of large language models and data teams becoming software teams has led to data products. The same thing is happening in data.
When I say “execute”, I don’t simply mean the engineering challenges of building something. I’m referring to the full spectrum of business execution, from product management to design to engineering to marketing to sales to support and all the other functions needed to scale a business. They are called product engineers.
Customer acquisition is basically how much do you spend in terms of sales people, sales team, and in terms of marketing to acquire a new customer. The key here is knowing what your sales model is. And there are basically two sales models out there. Kind of extreme sales models out there for SaaS businesses.
Subscribe to the Sales Hacker Podcast. Keys to success when scaling a company [10:56]. Sales enablement is easy: all you have to do is create perfectly targeted content, stay informed on email best practices, drive more engagement quarter over quarter, spend less money, and do all of this with less time. We’re on iTunes.
If you want features in your lakehouse (on top of open source Iceberg) for ingestion, CDC, streaming (file loading, Kafka connect, etc), schema evolution, compaction, optimization, time travel, snapshots, auto-scaling, maintenance (no more writing spark jobs to delete snapshots!), A natural question is “why do we have two tiers?
At least a Bachelor degree in softwareengineering. Proven ability to scale a start-up from the ground up. Experience scaling and improving performance on evolving software and web applications. Previous experience scaling a social media account to impressive numbers. Marketing or related field a plus.
Many companies are strategic consumers of open-source software as a means to reduce the burden on their softwareengineering team to build everything from the ground up. Related podcast episode: How MongoDB Scaled Their Open-Source Product with a Bottom-Up and Top-Down Sales Motion.
Women in sales often have a polarizing experience. In the Sales Hacker video series Aha Moments , I asked 10 women: “What is one ‘aha moment’ you’ve had in your sales career?”. The conversations that followed were so authentic and encouraging that we decided to expand this conversation to other badass women in the sales world.
We organize all of the trending information in your field so you don't have to. Join 80,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content