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Bringing an AI Product to Market

O'Reilly Media - Ideas

The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.

Marketing 145
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On Becoming a VP of Engineering, Part 1: The Path to VP

Honeycomb

I was curious about moving up the engineering management ladder eventually, but I assumed a VP opportunity would be out of reach for a long time, if ever. I was able to learn from great backend, infrastructure, platform, and ops engineers and get a sense for both how they thought and what problems were important to them.

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Performance Engineering for SaaS Products at SailPoint

Sailpoint

Understanding and interpreting our performance metrics in this way allows us to have meaningful conversations with Product Management, DevOps, and core Software Engineering on whether our findings require an architecture review, expanded or contracted infrastructure, or will meet our customer’s expectations for product behavior.

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Speeding Up the Enterprise: Virtual Squads at InVision

LaunchDarkly

On June 18, Ben Wilson, Engineering Manager at InVision, spoke at LaunchDarkly’s Test in Production Twitch Stream. Ben explained the process of how, when, and why a virtual squad may be your best bet to speed up decision-making and time-to-release across your engineering, product, and design organizations.

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Netflix at AWS re:Invent 2018

Netflix Tech

Scaling Push Messaging for Millions of Netflix Devices Susheel Aroskar , Senior Software Engineer Abstract: Netflix built Zuul Push, a massively scalable push messaging service that handles millions of always-on, persistent connections to proactively push time-sensitive data, like personalized movie recommendations, from the AWS Cloud to devices.

AWS 45
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The Case for Minimalist Infrastructure

Stacks on Stacks

If your company could grow its engineering organization by 40% without increasing costs, would they do it? If your devops team could ship more code and features with less people, would they want to? At Stackery , we saw a big opportunity that allows software teams to spend less time on infrastructure, and more time building software.