techpoint charlie

Raz Shuty, Noa Tamir, and Alaa Sarhan meet to chat about open plan offices, and how working in them makes them feel..

We mention in this episode: 

1. The (recent) history of open plan offices
2. Our personal experiences working in open plan offices, and other office plans
3. Cubicles!
4. HBR's "The Truth about Open Plan Offices"
5. Clear glass rooms
6. How are we dealing with the circumstances as individual contributors, and as managers
7. Lots and lots of feelings!

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Music credits: Dan Lebowitz: Come and Get It!
Licensed under Creative Commons: By Attribution 3.0 License 

A quick episode where Yael Schweiger, Raz Shuty and Noa Tamir are randomly asking themselves two questions and trying to see how they feel about them:

• Can you be a Manager without being an IC in the role? 
• Can managers be friends with the people they manage? 

Nothing scientific here, more like a quick conversation about it :)

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Music credits: Dan Lebowitz: Come and Get It! Licensed under Creative Commons: By Attribution 3.0 License 

On-Call Engineering: How to do it and smile

• Intro to the topic and Charity Majors
• What is on-call even? And why does it exist?
• Our Experiences with on-call?
  • When did we start? How many years, some stories about our past and why we are talking about it 
• How to onboard to on-call?
• Can it be done and actually be positive? 
• What causes on-call to be negative then?
  • What are the steps that can be done to improve it? 
• What is incident management?

Charity Majors is the CTO of Honeycomb.io, @mipsytipy on Twitter, and blogs at https://charity.wtf/

Links Raz shared with his team:

• A story of being on call | Charity Majors | Monki Gras 2018
• Charity Majors – Observability and the Glorious Future, Iterate 2018

Also Available on:
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Music credits: Dan Lebowitz: Come and Get It! Licensed under Creative Commons: By Attribution 3.0 License 

Yael Schweiger, Raz Shuty and Noa Tamir are meeting again to talk about management, and specifically what makes a good manager, and how makes a bad one... 

We mentioned in this episode

1. What is the role of a manager?
   1. What sort of manager are we talking about? Project / People / Function / Strategic / Change Management?
2. Can an inexperienced manager be a good manager?
3. Should it be a full-on move? Can it be a combo IC+M role? Does it scale?
4. How to recognize a good manager
   1. What they do
   2. How you feel
5. How to recognize a bad manager
   1. What they do 
   2. How you feel
6. Some stories from our past (good or bad that shaped us as people) 

Reading recommendations: 

1. https://charity.wtf/2019/09/08/reasons-not-to-be-a-manager/
2. https://charity.wtf/2019/01/04/engineering-management-the-pendulum-or-the-ladder/
3. https://www.goodreads.com/book/show/300025.The_Ideal_Executive 

References:

1. https://www.amazon.com/Managers-Path-Leaders-Navigating-Growth/dp/1491973897
2. https://www.welcometothejungle.com/en/articles/btc-manager-path-camille-fournier
3. https://www.goodreads.com/book/show/45007872-97-things-every-engineering-manager-should-know
4. https://www.inc.com/marcel-schwantes/4-signs-that-a-boss-has-high-emotional-intelligence.html 
5. https://increment.com/teams/how-to-build-a-startup-engineering-team/ 
6. https://hbr.org/2018/05/managers-cant-be-great-coaches-all-by-themselves 

https://www.trainingjournal.com/articles/feature/four-types-dysfunctional-manager


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Music credits: Dan Lebowitz: Come and Get It! Licensed under Creative Commons: By Attribution 3.0 License 

Yael Schweiger Senior Product Owner at Careship, Raz Shuty Director Of Engineering at Delivery Hero and Noa Tamir are talking about what is the role of a data scientist 

• What do people usually get wrong about this role?
• How can data scientists help, and who?
• What skills or mindset are important for this role?
• How do you get to it?
• What does it mean to be a junior in this role vs senior/experienced? What are the main big differences you learn along the way?

We mentioned in this episode

• Data Science is about Communication (empathy, humility), not programming or statistics 
• A good point to talk about the different DS functions: DS for X vs. DS as X.
• Noa's talk in PyConDE
• Nonviolent communication 
• Empathic listening 

Also Available on:

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Music credits: Dan Lebowitz: Come and Get It! Licensed under Creative Commons: By Attribution 3.0 License 

Daniel Rüdiger Senior Product Manager at Delivery Hero, Alaa Sarhan Fullstack Engineer at Doodle (yes yes! the doodle you send your friends when you are trying to arrange a movie night at your place) and Raz Shuty Director Of Engineering at Delivery Hero are having an episode without Yael and Noa, and trying to figure out, what is product-driven development? What is this new trend called Product-Developers?

We mentioned in this episode

• What is product-driven development?
  • The development team is involved in finding the best solutions to solve business problems instead of just implementing them
  • Detached from “What” by Product and “How” by Tech
  • Value outcome over output
  • Opposite: Feature Factory(?)
• What are Product Developers?
  • If you Google Product Developer you get mostly non-software development related results
• Why product-driven development?
  • Pros
    • Have many (smart) people solve a problem instead of just one/few
    • Most people more motivated by being involved in “what” is being built
  • Cons
    • Highly specialized people “waste” time on topics they are not expert in
    • Overhead of storytelling, getting everybody involved (?)
• Discussable questions
  • How to handle a high-output software engineer in a product-driven development team?
  • Is product-driven development the evolution of cross-functional teams?
  • What’s the role of a product manager in a team of product-driven developers?
  • If product-driven development focuses on “product output”: What’s your opinion on trying out new technologies (for the sake of trying out new technologies)?
• Alaa's blog posts:
  • I am a Product Developer
  • Product Developers - Draft Definition
  • Product Developer TechStack
  • Product Developers - definition and roles

Also Available on:

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Music credits: Dan Lebowitz: Come and Get It! Licensed under Creative Commons: By Attribution 3.0 License 

Yael Schweiger Senior Product Owner at Careship, Raz Shuty Director Of Engineering at Delivery Hero and our awesome guest Noa Tamir are trying to make sense of the data of data science, what are the different roles? What is the difference between User Research, Market Research, Data Science Researchers, Business Analysts, Business Intelligence, Data Analysts, Data Scientists, Machine Learning Engineers, Data Engineers?

We mentioned in this episode

• User Research, Market Research, Data Science Researchers, Business Analysts, Business Intelligence, Data Analysts, Data Scientists, Machine Learning Engineers, Data Engineers
• Speed, Rigor, Performance  
• https://towardsdatascience.com/data-sciences-most-misunderstood-hero-2705da366f40
• 
  
• Did we “get it right”? What kinds of roles are there in data science
  • “Scientist”
  • “Engineer”
  • https://vas3k.com/blog/machine_learning/ 

Also Available on:

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Music credits: Dan Lebowitz: Come and Get It! Licensed under Creative Commons: By Attribution 3.0 License 

Yael Schweiger Senior Product Owner Careship and Raz Shuty Head of Engineering @Wikimedia DE finally came back from a long summer break and decided to talk about one on ones on episode 11 - talk about how to do them, why they are there and what the effects they have and generally what it means to have good ones and to have "bad" ones...

We mentioned in this episode

• https://www.careship.de/

Also Available on:

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Music credits: Dan Lebowitz: Come and Get It! Licensed under Creative Commons: By Attribution 3.0 License