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
I also covered project coordination before our technical program manager came on board and proposed to hire a QA/QE lead to make our team more quality-focused and our products more reliable. Bastiane Huang is a Product Manager at Osaro, a San Francisco based startup that builds machine learning software for robotic vision and control.
This is a guest post from Dillon Forest, cofounder, CTO & product manager at RankScience. One litmus test for this: if you’re working on your product and you hit a roadblock, and you can’t find a satisfactory answer to your question on Stack Overflow. The uncertainty of technical products.
As data-driven product development continues to balloon in popularity, so does the need for accurate and sophisticated implementation of analytics tracking in software products. All over the code, you have ugly calls to complex analytics APIs littered amongst your views and business logic. You’d be celebrated.
When engineers implement features, they write code. When engineers add analytics events to new features, they add additional analytics code to their new feature code. As such, the best time for an engineer to make changes to some piece of code is when their attention is fully focused on that piece of code, not weeks after.
NPR sells ads on its podcasts and has teams of designers, planners, and strategists, but is technically a non-profit media organization. Based on our conversations, lag in monetization isn’t due to lack of efficacy of ads. But what to call it? Audioblogging? Podcasting? Limitations of podcast advertising.
NPR sells ads on its podcasts and has teams of designers, planners, and strategists, but is technically a non-profit media organization. Based on our conversations, lag in monetization isn’t due to lack of efficacy of ads. But what to call it? Audioblogging? Podcasting? Limitations of podcast advertising.
We organize all of the trending information in your field so you don't have to. Join 96,000+ 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