Paul is one of the most impressive, fun and welcoming people I met at YC. This is awesome — congrats on the well-deserved success, guys! Excited to see what you'll build at Coinbase.
Permutive (YC S14) | London, UK | Software Engineer (Scala) | Full-time, permanent, on-site, eligible to work in UK
We're a B2B SaaS company building the data platform and tools for a world with a trillion devices. We have product–market fit and customers that love us, and we're growing rapidly in Europe and the US. We raised a $10M Series A at the beginning of the year and have received funding from some of the world's best investors, including Y Combinator.
Everything we build operates at scale: our platform processes billions of requests a day across hundreds of millions of monthly end-users. We're developing a next generation data platform for a world with a trillion devices, and we think applying functional programming techniques like compositionality and type-safety is the best way to build these massive distributed systems.
You would be joining our core backend team on-site in London, working mostly with Scala and 'big data' ecosystem technologies (our full stack is below). We're happy to talk to people with a wide range of experience—from straight out of university to those with decades of experience—but you should have a genuine interest and preferably experience in FP, distributed systems, and stream processing.
If you're interested and eligible to work in the UK, please email [email protected] with your CV/resume and a bit about you, making it clear that you found us on HN!
Permutive (YC S14) | London, UK | Software Engineer | Full-time, permanent, on-site, eligible to work in UK
Permutive is the most efficient way to integrate data-driven models into your product. We're a B2B SaaS company built on top of an innovative real-time data platform. We have product–market fit and customers that love us, and we're growing rapidly in Europe and the US. We raised a $10M Series A at the beginning of the year and have received funding from some of the world's best investors, including Y Combinator.
Everything we build operates at scale: our platform processes billions of requests a day across hundreds of millions of monthly end-users. We're developing a next generation data platform for a world with a trillion devices, and we think applying functional programming techniques like compositionality and type-safety is the best way to build these massive distributed systems.
You would be joining our core backend team on-site in London, working mostly with Scala and 'big data' ecosystem technologies (our full stack is below). We're happy to talk to people with a wide range of experience—from straight out of university to those with decades of experience—but you should have a genuine interest and preferably experience in FP, distributed systems, and stream processing.
Permutive (YC S14) | Software Engineers | London, UK | Full-time, permanent, on-site, eligible to work in UK
Permutive is the simplest, most efficient way to integrate data-driven models into your product.
We're a B2B SaaS company built on top of an innovative real-time data platform. We have product–market fit and customers that love us, and we're growing rapidly in Europe and the US. We raised a $10M Series A at the beginning of the year and have received funding from some of the world's best investors, including Y Combinator.
Everything we build operates at scale: our platform processes billions of requests a day across hundreds of millions of monthly end-users. We're developing a next generation data platform for a world with a trillion devices, and we think applying functional programming techniques like compositionality and type-safety is the best way to build these massive distributed systems.
You would be joining our core backend team on-site in London, working mostly with Scala and 'big data' ecosystem technologies (our full stack is below). We're happy to talk to people with a wide range of experience—from straight out of university to those with decades of experience—but you should have a genuine interest and preferably experience in FP, distributed systems, and stream processing.
Permutive (YC S14) | https://permutive.com | London, UK | FULL-TIME, ONSITE, EU-eligible engineers only
Permutive is a real-time data management platform. We enable digital product, commercial and marketing managers to customize user experience in real-time, on every device across every channel.
We're a high-growth (revenue grew 10x in 2017), high-scale (> billion API requests every day) SaaS company. At our stage and scale, there's no unimportant work in our engineering team, and there's a real opportunity to come and take ownership, set technical and cultural direction, and exercise engineering excellence at scale.
We're hiring for a number of full-time roles in our London office:
If you find us here and are interested, please use the summary field in Workable to let us know you found us on HN. :) Also happy to answer questions at [email protected]
Permutive is building the infrastructure for realtime personalization. We're a small, tight-knit team with top-tier investors from London and SV, including Y Combinator.
We're looking for FP enthusiasts to design and build our core product and help develop an amazing technical team. You'll work on everything from developing our data processing infrastructure and query language to conceiving new features for our dashboard. Our ideal candidate has interests and experience in:
* Working extensively in functional languages: we use Haskell, Scala (Scalaz), Elm
* Building distributed systems: we run a stream data pipeline on AWS with Kafka, EC2, DynamoDB, PostgreSQL, S3, and friends
* Data engineering, particularly stream processing and event sourcing/CQRS
* Developing and scaling APIs and a frontend products
Permutive is building the infrastructure for realtime personalization. We're a small, tight-knit team with top-tier investors from London and SV, including Y Combinator.
We're looking for FP enthusiasts to develop our core product and help build an amazing technical team. Our ideal candidate has interests and experience in:
* Working extensively in functional languages: we use Haskell, Elm, and Scala (Scalaz).
* Building distributed systems: we run a stream data pipeline on AWS with Kafka, EC2, Postgres, DynamoDB, S3, and friends.
* Data engineering, particularly stream processing and event sourcing/CQRS.
* Developing and scaling APIs and a frontend products.
If you're interested, you can apply at https://permutive.workable.com or email [email protected] with your CV. Unfortunately we can't sponsor visas at the moment so you'll need to be eligible to work in the UK!
We're building the infrastructure for event-based personalization.
Our API lets you collect, retrieve, and query your users' behavior in realtime. It's the easiest way to integrate behavioral data into your product: we handle the collection of every user's interaction and provide a flexible query layer to react in realtime to their events.
We're looking for full-stack engineers to design and develop our core product. You'll be responsible for tackling and owning hard technical problems end-to-end. You should have experience and interests in some of the following:
* Working extensively in functional languages: we use Haskell, Scala (with scalaz), and Elm
* Building large-scale distributed systems: we run a stream data pipeline on AWS with Kinesis, EC2, DynamoDB, Postgres, S3, and friends
* Data engineering, particularly stream processing and applied ML, e.g. recommender systems for personalization
* Developing and scaling APIs and frontend products
We're an early-stage VC-backed startup with some of the top investors in London and Silicon Valley, including Y Combinator. Because we're a small team, you'll play a central role in everything — from product to company culture. We offer competitive salaries, equity, and bad jokes.
If you're interested, email us at [email protected] with your CV and anything else you think would be important for us to know!
We're focused on understanding and recommending content at scale. We use ML/NLP techniques to algorithmically understand the meaning behind content and make sense of people's wide and nuanced interests based on their behavior. Engaging content is the future of online monetization, and we're building the intelligent infrastructure for deploying revenue-generating content.
We have a ton of interesting problems to solve. We're constantly ingesting vast numbers of documents to learn from, tracking millions of interactions with content, computing the interests of millions of users, and making personalized real-time recommendations. This scale impacts every engineering decision we make, and we're looking to build a company with people excited by the challenges it poses.
You'll want to have interests or experience in some of the following:
* Working extensively in functional languages (we mostly use Scala, with Akka, Spray, Scalaz; some Haskell).
* Building large-scale distributed systems (we run a microservices architecture on AWS)
* Designing and implementing proprietary machine learning models and real-time personalized recommendation systems
* Rapidly iterating and scaling a front-end product (designing UX and UI, HTML/CSS & React, etc.)
We're a VC and Y Combinator-backed startup at the beginning of our journey. As one of our first engineers you'll play a central role in defining our tech culture and direction. There's a huge opportunity to effect change at scale through real responsibility and ownership of product. And because at this early stage there's so much to do, there's so much to learn and room to grow!
We're focused on understanding and recommending content at scale. We use ML/NLP techniques to algorithmically understand the meaning behind content and make sense of people's wide and nuanced interests based on their behavior. Engaging content is the future of online monetization, and we're building the intelligent infrastructure for deploying revenue-generating content.
We have a ton of interesting problems to solve. We're constantly ingesting vast numbers of documents to learn from, tracking millions of interactions with content, computing the interests of millions of users, and making personalized real-time recommendations. This scale impacts every engineering decision we make, and we're looking to build a company with people excited by the challenges it poses.
You'll want to have interests or experience in some of the following:
* Working extensively in functional languages (we mostly use Scala, with Akka, Spray, Scalaz; some Haskell).
* Building large-scale distributed systems (we run a microservices architecture on AWS)
* Designing and implementing proprietary machine learning models and real-time personalized recommendation systems
* Rapidly designing and building front-end products (HTML/CSS, React, etc.)
We're a VC and Y Combinator-backed startup at the beginning of our journey. As one of our first engineers you'll play a central role in defining our tech culture and direction. There's a huge opportunity to effect change at scale through real responsibility and ownership of product. And because at this early stage there's so much to do, there's so much to learn and room to grow.
We're focused on understanding and recommending content at scale. We use ML/NLP techniques to algorithmically understand the meaning behind content and make sense of people's wide and nuanced interests based on their behavior. Engaging content is the future of online monetization, and our first product is an intelligent ad engine for revenue-generating content.
We have a ton of interesting problems to solve. We’re constantly ingesting vast numbers of documents to learn from, tracking millions of interactions with content, computing the interests of millions of users, and making personalized real-time recommendations. This scale impacts every engineering decision we make, and we’re looking to build a company with people excited by the challenges it poses.
You'll want to have interests or experience in some of the following:
* Working extensively in functional languages (we mostly use Scala, with Akka, Spray, Scalaz; some Haskell).
* Building large-scale distributed systems (we run a microservices architecture on AWS)
* Designing and implementing proprietary machine learning models and real-time personalized recommendation systems
* Rapidly designing and building frontend product features
We’re a VC and Y Combinator-backed startup at the beginning of our journey. As one of our first engineers you'll play a central role in defining our tech culture and direction, have real responsibility and ownership, and have direct influence on product and strategy.
Apply by emailing [email protected] with your CV/resume and anything else that helps us know more about who you are. Unfortunately we cannot sponsor visas at the moment so you'll need to be eligible to work in the UK!
We're focused on understanding and recommending content at scale. We use ML/NLP techniques to algorithmically understand the meaning behind content and make sense of people's wide and nuanced interests based on their behavior. Engaging content is the future of online monetization, and our first product is an intelligent native ad engine for revenue-generating content.
We have a ton of interesting problems to solve, and we're looking for people who want the responsibility of taking some of them on and delivering working solutions. You'll want to have interests or experience in some of the following:
* Working extensively in functional languages (we mostly use Scala, some Haskell)
* Building large-scale distributed systems (we run a microservices architecture on AWS)
* Designing and implementing proprietary machine learning models and real-time personalized recommender systems (particularly Bayesian approaches, topic models, deep belief nets)
* Designing streaming data pipelines to process millions of daily events
* Rapidly designing and building frontend products
We’re a VC and Y Combinator-backed startup at the beginning of our journey. As one of our first engineers you’ll play a central role in defining our tech culture and direction, and have direct influence on product and strategy.
If you're interested, email us at [email protected] with your CV and anything else that helps us know more about who you are! Unfortunately we can't sponsor visas at the moment so you'll need to be eligible to work in the UK!
We're focused on understanding and recommending content at scale. We use ML and NLP techniques to algorithmically understand the meaning behind content and people's wide and nuanced interests. Our first product is an intelligent native ad server for sponsored content.
We have a ton of interesting problems to solve, and we're looking for people who want the responsibility of taking some of them on and delivering working solutions. More specifically, we're looking for engineers with interests or experience in:
* Building large-scale distributed systems (we run a microservices architecture on AWS)
* Designing and implementing scalable machine learning models (particularly Bayesian approaches, topic models, deep belief nets)
* Working extensively in functional languages (we mostly use Scala, some Haskell)
* Building low-latency personalized recommender systems
We’re a VC and Y Combinator-backed startup at the beginning of our journey. As one of our first engineers you’ll play a central role in defining our tech culture and direction, and have direct influence on product and strategy.
If you're interested, email us at [email protected] with your resume/CV and anything else that helps us know more about who you are!