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The Compound Startup Advantage: Why The CEO of Rippling Believes Focus Is Overrated

SaaStr

This success comes from three key components: An account management organization focused on selling new SKUs to existing customers Standalone sales organizations for major product areas An internal “ad system” using machine learning to show customers the products they’re most likely to adopt next The Lesson: Compound Startups Can (..)

Startup 157
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The GTM AI Operating System

Sales Hacker

Companies are redesigning their operating models around automation, data orchestration, and system-level thinking to unlock efficiency, reduce manual work, and scale without adding headcount. The AI decisioning platform transforms customer interactions with automation and machine learning, now scaling its impact as part of Braze.

AI Search 106
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GTM 133: Build your AI Outbound Machine with ChatGPT | Jordan Crawford

Sales Hacker

Um, in the old world, you basically downloaded a list of accounts and those accounts had things like industry, employee, headcount, headquarters, founded date, you would then get a list of contacts. It’s like, we’ll just, you just can pay money for us to bid on. I need B2B SaaS software now. So it’s like, okay, great.

ChatGPT 86
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GTM 149: Inside Meta’s $10B Sales Playbook with Rick Kelley

Sales Hacker

Or how do I in a limited resource and limited headcount way, how do I go about choosing the allocation of different headcount? Probably get a sale over the line just with an AI type bot or, um, you know, utilizing some form of machine learning. Should I hire five people for the UK or five people for France?

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Top Product Manager Roles at Data-Driven Companies (+Candidate Spotlight)

User Pilot

PDO provides data and insights that power machine learning and AI, at the core of all Meta products. Experience in AI , machine learning, or related fields. Product Manager Salesforce (20172019): Led a redesign of the headcount tracking software, reducing auditing time by 70%.

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Data Product Teams : Best Practices for a Modern Data Team

Tom Tunguz

Like the Devops movement, the Dataops movement aims to scale the use of data within companies without increasing the headcount of the data team. Business logic : the data engineering team build the ETL pipelines while the data science team researches & implements machine learning algorithms for MLDS driven data products.

Data 264
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A Flare Across the Clouds : Cloudflare's Earnings Report

Tom Tunguz

Machine-learning companies are an important agent of growth & seem to be less loyal to a platform as they seek the most economical solution for their data storage & compute needs. The channel accounted for about 13% of revenue this quarter, which is the highest it’s ever been.

Cloud 242