Remove AWS Remove Scale Remove Software Engineering
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10 technical strategies to avoid when scaling your startup (and 5 to embrace)

Intercom, Inc.

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.

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Top 10 Trends for Data in 2024

Tom Tunguz

Most sophisticated data teams run like software engineering 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.

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Run Less Software

Intercom, Inc.

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.

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A Look Back: “SaaS Metrics Masterclass: Key Business Metrics, Pricing Strategies and Billing Models with Stripe’s Head of France and Southern Europe, Guillaume Princen” (Video + Transcript)

SaaStr

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.

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PODCAST 129: The Keys to Building and Scaling a Company from Scratch with Vishal Sunak

Sales Hacker

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.

Scale 120
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Tabular: Turning Your Data Swamp into a Data Lakehouse with Apache Iceberg

Clouded Judgement

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?

Data 130
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Growth Engineer Job Description Cheatsheet

Sylvia Ng

At least a Bachelor degree in software engineering. 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.