“Don’t underestimate the power of the #random channel. It’s cool to know a colleague made a great sourdough loaf this weekend, and another built some amazing Lego w their kids. We need to hone connection on a day to day basis, and acknowledge our humanness” @lrnrd#LeadDevBerlin
“Connection:
- Build trust
- Make space for humanness
- Define expectations
- Grow together #gratitude channel & feedback
- Stay aligned: connect to the bigger picture
- Address remote loneliness
- Share context: deliberately add nuance & perspective“ @lrnrd#LeadDevBerlin
“Collaboration:
- Stay humble (be aware of power dynamics)
- Build relationships: the foundation of our work
- Combat hero culture: fix structural issues
- Learn together: the power of admitting what we don’t know“ @lrnrd#LeadDevBerlin
“Communication:
- Default to openness
- Have a plan: be clear on who knows what & when; avoid surprises!
- Document everything: invest in your future selves!
- Write better: write for being understood
- Ask good questions (and genuinely listen)“ @lrnrd#LeadDevBerlin
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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