Using Creative Commons RDFa for attribution
labs.creativecommons.org2 pointsby JED30 comments
- Green field development
- Real world problems. The kind that companies pay $100K+ to solve
- Experienced founders. This is our 2nd startup - our first was acquired in 2013
- Well-funded and well-run. Series A, low burn. Capital efficiency is important to us
- Product market fit. Companies already using it every day
Cons: - Very early. Very uncertain
- We’re not going to match your offer from Facebook
- No free lunches, gym memberships, massages, etc. But, we do have several flavors of La Croix
- We play Yacht Rock on Fridays
Our top priority is in finding a Lead Data Engineer, if this sounds anything like you, I'd love to hear from you: - Have experience with data pipelining, warehousing, ETL (bonus: Presto, Spark, Redshift)
- Not shy of SQL (bonus: PostgresQL, Hive)
- Proficient in Python (bonus: Django, Celery)
- Have experience modelling data (bonus: sklearn, numpy, pandas)
We are also looking for Full-Stack Engineers, Product Managers, Designers, and more. To apply, visit https://www.pathlight.com/careers/ for more information or email careers[at]pathight.com - Green field development. An opportunity to build things from scratch and own large parts of the stack.
- Real world problems. The kind that companies pay $100K+ to solve.
- Experienced founders. This is our 2nd startup - our first was acquired in 2013.
- Well-funded and well-run. Series A, low burn. Capital efficiency is important to us.
- Product market fit. Companies already using it every day.
Cons: - Very early. Very uncertain.
- We’re not going to match your offer from Facebook
- No free lunches, gym memberships, massages, etc.
- We play Yacht Rock on Fridays.
Our application pulls from a customer’s existing CRM and uses a whole mess of buzz-words to perform our magic (cue shameless buzzword dump): - Python/Django (Python3, Celery)
- Machine learning (scikit-learn, numpy)
- Thick frontend client (ES6/Babel/React/Mobx)
To apply, visit https://www.pathlight.com/careers/ for more information or email careers[at]pathight.com - Green field development. An opportunity to build things from scratch and own large parts of the stack.
- Real world problems. The kind that companies pay $100K+ to solve.
- Experienced founders. This is our 2nd startup - our first was acquired in 2013.
- Well-funded and well-run. Series A, low burn. Capital efficiency is important to us.
- Product market fit. Companies already using it every day.
Cons: - Very early. Very uncertain.
- We’re not going to match your offer from Facebook
- No free lunches, gym memberships, massages, etc.
- We play Yacht Rock on Fridays.
Our application pulls from a customer’s existing CRM and uses a whole mess of buzz-words to perform our magic (cue shameless buzzword dump): - Python/Django (Python3, Celery)
- Machine learning (scikit-learn, numpy)
- Thick frontend client (ES6/Babel/React/Redux)
Email trey[at]pathlight.com to apply. - Green field development. An opportunity to build things from scratch and own large parts of the stack.
- Real world problems. The kind that companies pay $100K+ to solve.
- Experienced founders. This is our 2nd startup - our first was acquired in 2013.
- Well-funded and well-run. Series A, low burn. Capital efficiency is important to us.
- Product market fit. Companies already using it every day.
Cons: - Very early. Very uncertain.
- We’re not going to match your offer from Facebook
- No free lunches, gym memberships, massages, etc.
- We play Yacht Rock on Fridays.
Our application pulls from a customer’s existing CRM and uses a whole mess of buzz-words to perform our magic (cue shameless buzzword dump): - Python/Django (Python3, Celery)
- Machine learning (scikit-learn, numpy)
- GraphQL (a la Graphene, graphql-js)
- Thick frontend client (ES6/Babel/React/Flux)
If you'd like to apply, please email your resume and contact information to trey[at]pathlight.co for more information. - Green field development. An opportunity to build things from scratch and own large parts of the stack.
- Real world problems. The kind that companies pay $100K+ to solve.
- Experienced founders. This is our 2nd startup - our first was acquired in 2013.
- Well-funded and well-run. Series A, low burn. Capital efficiency is important to us.
- Product market fit. Companies already using it every day.
Cons: - Very early. Very uncertain.
- We’re not going to match your offer from Facebook
- No free lunches, gym memberships, massages, etc.
- We play Yacht Rock on Fridays.
Our application pulls from a customer’s existing CRM and uses a whole mess of buzz-words to perform our magic (cue shameless buzzword dump): - Python/Django (Python3, Celery)
- Machine learning (scikit-learn, numpy)
- GraphQL (a la Graphene, graphql-js)
- Thick frontend client (ES6/Babel/React/Flux)
If you'd like to apply, please email your resume and contact information to trey[at]pathlight.co for more information.