paulcothenet

Joined 12 years ago

Karma
202
Submissions
10
Member since
Jun 1
[ my public key: https://keybase.io/pcothenet; my proof: https://keybase.io/pcothenet/sigs/_ROakaGGaWDvR_whgSY_zDwkZQpgGsbLdZZ0Kwd6JJk ]
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Recent submissions

Comment · 2 years ago
Patch | San Francisco, Hybrid (in office 2-3 days a week) | Full-Time | Senior / Staff Software engineer (Ruby / Typescript) | $ 180 - 220k | Visa | https://www.patch.io/

I’m the Head of Engineering at Patch. Patch combines technology and carbon markets expertise to increase the integrity of carbon markets and direct capital to powerful climate solutions. We have helped hundreds of companies meet their sustainability goals and have directed millions of dollars to promising climate solutions.

We're a Series B company and have raised $80.7M in funding (a16z, Coatue, Energize) Our engineering team is 15 high-agency product-oriented engineers. Join us if you like domain modeling a complex real-world problem!

I’m actively hiring for Senior or Staff Level Engineers in San Francisco.

Please apply via: https://jobs.ashbyhq.com/patch.io/934b8dfe-d144-4be2-8fa9-b0...

Comment · 5 years ago
As a founder and CTO I had to learn about so much of that stuff on the fly. And most companies marketing is FUD. Happy to see someone take the "let's make this easy and approachable route".

As a software engineer, really happy that my current company started out with WorkOs!

Comment · 10 years ago
Really useful!

For some reason, I've found the content on this area really lacking for early stage startups (FUD from security experts, fear of revealing gaps).

Comment · 10 years ago
MadKudu (Techstars 2015) | http://www.madkudu.com | Mountain View, CA or REMOTE

Hiring: Data Engineer / Principal Architect

MadKudu's mission is to empower every businesses with the same predictive and machine learning tools as the biggest company. We help our customers use data to make critical business decisions - everything from "who should a sales rep call right now?" to "where should the CEO invest next year's marketing budget?".

We're a closely-knit team of 5. Everyone on the team (including the head of sales) is an engineer and obsessed with data and creating the best possible company. You can read more about what we're trying to achieve here: http://www.madkudu.com/careers.

Due to our fast growth, we're facing the (exciting!) challenge of scaling our data processing architecture up to billions of events. We're currently using node.js, Redshift, R but are constantly evolving our stack to build a better needle finder (for example, currently transitioning components to Spark and Kafka). We would love to find someone sharing our passion for algorithms, distributed systems and machine learning.

As a data engineer you'll get to work at a company where data is not a cost center but the product itself. You will be the third member of the engineering team, with the corresponding equity and the ability to build a powerful data platform from the ground up!

If you enjoy solving complex data problems, working closely with data scientists and scale yourself every day, please apply by sending an email at [email protected]!

Comment · 10 years ago
MadKudu (Techstars 2015) | http://www.madkudu.com | Mountain View, CA or REMOTE

Hiring: Data Engineer / Principal Architect

MadKudu's mission is to empower every businesses with the same predictive and machine learning tools as the biggest company. We help our customers use data to make critical business decisions - everything from "who should a sales rep call right now?" to "where should the CEO invest next year's marketing budget?".

We're a closely-knit team of 5. Everyone on the team (including the head of sales) is an engineer and obsessed with data and creating the best possible company. You can read more about what we're trying to achieve here: http://www.madkudu.com/careers.

Due to our fast growth, we're facing the (exciting!) challenge of scaling our data processing architecture up to billions of events. We're currently using node.js, Redshift, R but are constantly evolving our stack to build a better needle finder (for example, currently transitioning components to Spark and Kafka). We would love to find someone sharing our passion for algorithms, distributed systems and machine learning.

As a data engineer you'll get to work at a company where data is not a cost center but the product itself. You will be the third member of the engineering team, with the corresponding equity and the ability to build a powerful data platform from the ground up!

If you enjoy solving complex data problems, working closely with data scientists and scale yourself every day, please apply by sending an email at [email protected]!

Comment · 12 years ago
Had meant to point at "Last 6 months". (Last 12 months is often useful)

IHMO, it clutters the options with options that are not useful (do you often look at your 14 days spending?) and already included in other options that are close.

Comment · 12 years ago
Typo corrected. I'm not saying you should let the users go in the red without knowing. But does it have to be a big dial that takes a 1/3 of the dashboard?

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