This posting has been moved or closed. (This page is kept for reference.)
Product engineer
Location:
Remote OK, office pref.
SF Bay Area
Salary/equity:
(n/a, role closed)
Role/industry:
Front-end/full-stack
AI-adjacent (labeled data sets)
Brief description
High-ownership product eng role at an early-stage company (~10 FTE, about that many contractors)
Working on human-labeled data sets to support AI projects.
Role is mostly working on internal products used by the data-labeling teams.
This could be making the labeling teams more efficient, adding guardrails to avoid mistakes or improve labeling quality, or showing relatively complex data in a way users (internal or external) can digest easily.
Rails/Postgres stack. You don't need experience with Rails, though it's a preference.
What they're looking for
[Essential]
Front-end or full-stack background
Scrappy/wants to take ownership
Interested in IC roles specifically
[Important]
Startup experience
Wants to work directly with clients, ops teams
[Nice to have]
In the Bay Area and open to in-office/hybrid
Rails experience
Experience at smaller companies and not at larger ones
What they're offering
Small, selective team from Google, Meta, Twitter, Airbnb [yes, despite the preference for avoiding large-company experience]
Impressive client list
Bootstrapped + high revenue : team size ratio + rapid revenue growth
Lean so you can get a lot done. Head of product, but no PMs.
"Selling shovels" player in the middle of the AI wave
Get exposure to AI as a product eng
Pay: wide range centered in low 200s
Flexible on location and work styles
Hiring process
Interview with us (otherbranch)
Coding task
Panel interview with high of product, how would you spec this thing out given high-level requirements?
Front-end deep dive.
System design, focused on data modeling for a feature.
Call w/founder.
This posting is closed.
Product engineer
Remote OK, office pref.
SF Bay Area
(n/a, role closed)
Front-end/full-stack
AI-adjacent (labeled data sets)
Brief description
High-ownership product eng role at an early-stage company (~10 FTE, about that many contractors)
Working on human-labeled data sets to support AI projects.
Role is mostly working on internal products used by the data-labeling teams.
This could be making the labeling teams more efficient, adding guardrails to avoid mistakes or improve labeling quality, or showing relatively complex data in a way users (internal or external) can digest easily.
Rails/Postgres stack. You don't need experience with Rails, though it's a preference.
What they're looking for
[Essential]
Front-end or full-stack background
Scrappy/wants to take ownership
Interested in IC roles specifically
[Important]
Startup experience
Wants to work directly with clients, ops teams
[Nice to have]
In the Bay Area and open to in-office/hybrid
Rails experience
Experience at smaller companies and not at larger ones
What they're offering
Small, selective team from Google, Meta, Twitter, Airbnb [yes, despite the preference for avoiding large-company experience]
Impressive client list
Bootstrapped + high revenue : team size ratio + rapid revenue growth
Lean so you can get a lot done. Head of product, but no PMs.
"Selling shovels" player in the middle of the AI wave
Get exposure to AI as a product eng
Pay: wide range centered in low 200s
Flexible on location and work styles
Hiring process
Interview with us (otherbranch)
Coding task
Panel interview with high of product, how would you spec this thing out given high-level requirements?
Front-end deep dive.
System design, focused on data modeling for a feature.
Call w/founder.
