“This is why moving into management is so scary. Gallup found in their research that managers don’t just influence the results their teams achieve, they explain a full 70% of the difference” (!!!) @knotnicky#LeadDevBerlin
Brilliant 10 mins from @knotnicky on what we can reapply from software engineering practices to engineering management: 1) Don't repeat ~yourself~ decisions 2) Don't reinvent the wheel 3) Keep it simple 4) Apply product thinking
Especially loved @knotnicky’s point that in engineering management, the unit of reuse is the decision. And people want to know the why behind a decision, but also sometimes they want to know decisions will be fair and consistent. This is what process is useful for! #LeadDevBerlin
We often talk about the move from engineer to manager being a career change rather than a promotion (and it is!). Really love this reassurance from @knotnicky tho that we aren’t leaving everything behind - some of what we already know we can reapply in a new way #LeadDevBerlin
• • •
Missing some Tweet in this thread? You can try to
force a refresh
Latest in the “moving into tech leadership and/or management” subtheme here today at #LeadDevSanFrancisco is “Becoming a Manager Somewhere Else” from @mybluewristband
“Not all the advice provided in this talk will definitely work for you, as it’s my own story”
Jenn’s Career Trajectory:
- civil engineer
- mechanical engineer
- structural engineer
- customer support (to get foot in the door of tech)
- web developer (~5 years)
- software engineer (again. Another 3 yrs)
- moving towards management
“Three Things to Look for in the Person:
[0) Care about people (non-neg) ] 1) Doubts (filter out power hungry) 2) Growth mindset (highly competent at engineering —> highly incompetent at managing) 3) Courage to be disliked (recognition changes)
“Inclusion is a foundation for setting and creating a level playing field for people to be given opportunities to succeed. Inclusion has to presume competence.”
I love the @TheLeadDev crowd so much. They just gave @carlaprvieira applause and whooping for explaining it’s her first time in the US and her first international conference talk here at #LeadDevSanFrancisco 🥰🥰🥰💖💖💖
“Bias is like a virus that travels and is replicated by machine learning models.”
Potential Harms Caused by AI Systems: 1) Bias & discrimination 2) Denial of individual autonomic rights 3) Non-transparent, unexplainable or unjustifiable outcomes 4) Invasions of privacy 5) Unreliable, unsafe or poor quality outcomes