For high level and exec positions, I will almost certainly do backchannels. But I only do it if I or someone on my exec team is closely enough connected to the backchannel that I know and trust their opinion. The whole point of a backchannel is that it should be an even more trusted source than the gauntlet of interviews I've already put the candidate through.
Backchanneling on every candidate would be way too much. It's only worthwhile when its a high level and high impact role. Moreso, if you were to feel the need to backchannel on everyone, that basically means you dont trust your current team and interview process and should instead focus on that.
Cold backchannel make no sense to me. Not only does it not accomplish the goals of having a trusted and confidential source, but also I would not want this getting back to the candidate accidentally. That would be poor form.
At Pachyderm, we're building an open-source, enterprise-grade data science platform that lets you deploy and manage multi-stage, language-agnostic data pipelines while maintaining complete reproducibility and provenance. Our system, developed with open source roots, shifts the paradigm of data science workflows by providing reproducibility, data provenance, and opportunity for true collaboration.
Pachyderm utilizes modern technologies like Docker and Kubernetes to build an entirely new method of analyzing data. Offered both as an in-house solution as well as hosted-service, Pachyderm brings together version-control for data with the tools to build scalable end-to-end ML/AI pipelines while empowering users to use any language, framework, or tool they want. If you want to learn more about our grand vision, read what has become our "manifesto."
Pachyderm is a rapidly growing, early-stage company funded by the top VC’s — Benchmark, Decibel, M12, and YCombinator. Pachyderm embraces a “remote-first” approach to growing our team. We believe this gives us a huge advantage in hiring top talent and diverse talent across the country while giving our team members the flexibility to work from anywhere.
You can check out our product on GitHub because it’s open-source and try our cloud service for free.
* Enterprise Sales Engineer - As an Enterprise Sales Engineer at Pachyderm, you will be dedicated to partnering with our customers and prospects to help solve some of their most difficult problems. This can be anything from debugging network issues, to architecting complex machine learning pipelines, to troubleshooting Kubernetes and Docker. In this role, you will own the responsibility for delivering the technical win at customer accounts. You will lead the technical pre-sales relationship, propose technical architectures, demonstrate the platform, anticipate concerns, and offer creative solutions. Your goal is to build customer trust in Pachyderm, which will result in customer success in the post-sale.
* Developer Productivity Engineer/SDET -- Pachyderm is hiring an Engineer to own and lead our efforts around building the automation infrastructure, tools and framework for testing the core product. You’ll also own the charter for performance benchmarks, long-running deployments, CI and releases
* Account Executive (ML/AI/MLOps) – Pachyderm is growing our sales team and is looking to hire an Account Executive who will work to close new business through working qualified inbound and outbound sales opportunities.
* Developer/Advocate/Relations — Be the face and voice of the open source Pachyderm community and part of our elite content team. You’ll work with users in slack, create blog, YouTube, webinars and conference content
* Core Distributed Systems/Infrastructure Engineer (Golang) -- You'll be solving hard algorithmic and distributed systems problems every day and building a first-of-its-kind, containerized, data infrastructure platform
At Pachyderm, we're building an open-source, enterprise-grade data science platform that lets you deploy and manage multi-stage, language-agnostic data pipelines while maintaining complete reproducibility and provenance. Our system, developed with open source roots, shifts the paradigm of data science workflows by providing reproducibility, data provenance, and opportunity for true collaboration. Pachyderm utilizes modern technologies like Docker and Kubernetes to build an entirely new method of analyzing data. Offered both as an in-house solution as well as hosted-service, Pachyderm brings together version-control for data with the tools to build scalable end-to-end ML/AI pipelines while empowering users to use any language, framework, or tool they want. If you want to learn more about our grand vision, read what has become our "manifesto."
Pachyderm is a rapidly growing, early-stage company funded by the top VC’s — Benchmark, Decibel, M12, and YCombinator. Pachyderm embraces a “remote-first” approach to growing our team. We believe this gives us a huge advantage in hiring top talent and diverse talent across the country while giving our team members the flexibility to work from anywhere.
You can check out our product on GitHub because it’s open-source and try our cloud service for free.
* Enterprise Sales Engineer - As an Enterprise Sales Engineer at Pachyderm, you will be dedicated to partnering with our customers and prospects to help solve some of their most difficult problems. This can be anything from debugging network issues, to architecting complex machine learning pipelines, to troubleshooting Kubernetes and Docker. In this role, you will own the responsibility for delivering the technical win at customer accounts. You will lead the technical pre-sales relationship, propose technical architectures, demonstrate the platform, anticipate concerns, and offer creative solutions. Your goal is to build customer trust in Pachyderm, which will result in customer success in the post-sale.
* Developer Productivity Engineer/SDET -- Pachyderm is hiring an Engineer to own and lead our efforts around building the automation infrastructure, tools and framework for testing the core product. You’ll also own the charter for performance benchmarks, long-running deployments, CI and releases
* Account Executive (ML/AI/MLOps) – Pachyderm is growing our sales team and is looking to hire an Account Executive who will work to close new business through working qualified inbound and outbound sales opportunities.
* Developer/Advocate/Relations — Be the face and voice of the open source Pachyderm community and part of our elite content team. You’ll work with users in slack, create blog, YouTube, webinars and conference content
* Core Distributed Systems/Infrastructure Engineer (Golang) -- You'll be solving hard algorithmic and distributed systems problems every day and building a first-of-its-kind, containerized, data infrastructure platform
At Pachyderm, we're building an open-source, enterprise-grade data science platform that lets you deploy and manage multi-stage, language-agnostic data pipelines while maintaining complete reproducibility and provenance. Our system, developed with open source roots, shifts the paradigm of data science workflows by providing reproducibility, data provenance, and opportunity for true collaboration. Pachyderm utilizes modern technologies like Docker and Kubernetes to build an entirely new method of analyzing data. Offered both as an in-house solution as well as hosted-service, Pachyderm brings together version-control for data with the tools to build scalable end-to-end ML/AI pipelines while empowering users to use any language, framework, or tool they want. If you want to learn more about our grand vision, read what has become our "manifesto."
Pachyderm is a rapidly growing, early-stage company funded by the top VC’s — Benchmark, Decibel, M12, and YCombinator. Pachyderm embraces a “remote-first” approach to growing our team. We believe this gives us a huge advantage in hiring top talent and diverse talent across the country while giving our team members the flexibility to work from anywhere.
You can check out our product on GitHub because it’s open-source and try our cloud service for free.
* Enterprise Sales Engineer - As an Enterprise Sales Engineer at Pachyderm, you will be dedicated to partnering with our customers and prospects to help solve some of their most difficult problems. This can be anything from debugging network issues, to architecting complex machine learning pipelines, to troubleshooting Kubernetes and Docker. In this role, you will own the responsibility for delivering the technical win at customer accounts. You will lead the technical pre-sales relationship, propose technical architectures, demonstrate the platform, anticipate concerns, and offer creative solutions. Your goal is to build customer trust in Pachyderm, which will result in customer success in the post-sale.
* Developer Productivity Engineer/SDET -- Pachyderm is hiring an Engineer to own and lead our efforts around building the automation infrastructure, tools and framework for testing the core product. You’ll also own the charter for performance benchmarks, long-running deployments, CI and releases
* Product Manager – experience with Data Science, ML or Data Analysis product - work cross functionally across both engineering and the go-to-market team to build and launch new products. You will become an expert on our customers, competitors and market in order to make effective product investment decisions. You will track success with progress against measurable business objectives, as well as positive customer outcomes
* Developer/Advocate/Relations — Be the face and voice of the open source Pachyderm community and part of our elite content team. You’ll work with users in slack, create blog, YouTube, webinars and conference content
* Core Distributed Systems/Infrastructure Engineer (Golang) -- You'll be solving hard algorithmic and distributed systems problems every day and building a first-of-its-kind, containerized, data infrastructure platform
Pachyderm is the leader in data versioning and pipelines for MLOps. We’re building the data foundation that allows data science teams to automate and scale their machine learning lifecycle while guaranteeing reproducibility. With over $40 million in three rounds of funding from leading investors like Benchmark, Microsoft M12, and Y Combinator, Pachyderm is committed to building industrial strength capabilities for Data Centric AI. Pachyderm offers a commercial Enterprise Edition and an open source Community Edition. Pachyderm helps customers get their ML and AI projects to market faster, lower data processing and storage costs, and supports strict data governance requirements.
Pachyderm is growing fast and still small, so joining means you are getting in right at the ground floor and that you will have an enormous impact on the success and direction of the company and product. Pachyderm has always and will always embrace a “Remote-first” approach to growing our team. This allows us to hire a diverse group of individuals across the country (and world!) while giving our team members the flexibility to work from anywhere. Being a member of The Pach means joining a supportive team that cares about you, values kindness and works hard to create an open and transparent workplace.
* Developer Productivity Engineer/SDET -- Pachyderm is hiring an Engineer to own and lead our efforts around building the automation infrastructure, tools and framework for testing the core product. You’ll also own the charter for performance benchmarks, long-running deployments, CI and releases
* Sales Engineer - As an Enterprise Sales Engineer at Pachyderm, you will be dedicated to partnering with our customers and prospects to help solve some of their most difficult problems. This can be anything from debugging network issues, to architecting complex machine learning pipelines, to troubleshooting Kubernetes and Docker. In this role, you will own the responsibility for delivering the technical win at customer accounts. You will lead the technical pre-sales relationship, propose technical architectures, demonstrate the platform, anticipate concerns, and offer creative solutions. Your goal is to build customer trust in Pachyderm, which will result in customer success in the post-sale.
* Developer/Advocate/Relations — Be the face and voice of the open source Pachyderm community and part of our elite content team. You’ll work with users in slack, create blog, YouTube, webinars and conference content
* Core Distributed Systems/Infrastructure Engineer (Golang) -- You'll be solving hard algorithmic and distributed systems problems every day and building a first-of-its-kind, containerized, data infrastructure platform
* Build and Release Engineer -- You will own the charter for performance benchmarks, long-running deployments, CI, and releases. In addition, you will help layout sustainable practices within engineering to continually raise the quality bar.
* Full-Stack Engineer -- Pachyderm is looking for a Javascript/Typescript technical leader to join our team building out the frontend of our enterprise product and our open source software. This is one of the senior most roles in the team and engineering. Your impact will be beyond the scope of the team.
Pachyderm (YC W15) | Sales Engineer, Golang/Distributed Systems, Software Engineer in Test, Product Manager, Full-Stack Engineer | Full-time REMOTE (US or Canada) | Competitive Compensation with equity/full benefits on all openings
Apply at https://www.pachyderm.com/careers/#positions
Pachyderm is the leader in data versioning and pipelines for MLOps. We’re building the data foundation that allows data science teams to automate and scale their machine learning lifecycle while guaranteeing reproducibility. With over $40 million in three rounds of funding from leading investors like Benchmark, Microsoft M12, and Y Combinator, Pachyderm is committed to building industrial strength capabilities for Data Centric AI. Pachyderm offers a commercial Enterprise Edition and an open source Community Edition. Pachyderm helps customers get their ML and AI projects to market faster, lower data processing and storage costs, and supports strict data governance requirements.
You can check out our product on GitHub because it’s open-source and try our cloud service for free.
* Sales Engineer -- Pachyderm is hiring an Enterprise Sales Engineer who will be dedicated to partnering with our customers and prospects to help solve some of their most difficult problems. You will own delivering the technical win at customer accounts. This role is both HIGHLY technical and a skilled relationship builder.
* Developer Productivity Engineer/SDET -- Pachyderm is hiring an Engineer to own and lead our efforts around building the automation infrastructure, tools and framework for testing the core product. You’ll also own the charter for performance benchmarks, long-running deployments, CI and releases
* Product Manager – experience with Data Science, ML or Data Analysis product - work cross functionally across both engineering and the go-to-market team to build and launch new products. You will become an expert on our customers, competitors and market in order to make effective product investment decisions. You will track success with progress against measurable business objectives, as well as positive customer outcomes
* Developer/Advocate/Relations — Be the face and voice of the open source Pachyderm community and part of our elite content team. You’ll work with users in slack, create blog, YouTube, webinars and conference content
* Core Distributed Systems/Infrastructure Engineer (Golang) -- You'll be solving hard algorithmic and distributed systems problems every day and building a first-of-its-kind, containerized, data infrastructure platform
* Full-Stack Engineer -- You'll be working closely with our systems engineering and design teams to ship a core product that will define the future of the business. Your main task with be developing the web application that will become the "face" of the product and one of the primary modes for data scientists to build/manage their data and pipelines.
Pachyderm is the leader in data versioning and pipelines for MLOps. We’re building the data foundation that allows data science teams to automate and scale their machine learning lifecycle while guaranteeing reproducibility. With over $40 million in three rounds of funding from leading investors like Benchmark, Microsoft M12, and Y Combinator, Pachyderm is committed to building industrial strength capabilities for Data Centric AI. Pachyderm offers a commercial Enterprise Edition and an open source Community Edition. Pachyderm helps customers get their ML and AI projects to market faster, lower data processing and storage costs, and supports strict data governance requirements.
You can check out our product on GitHub because it’s open-source and try our cloud service for free.
* Developer Productivity Engineer/SDET -- Pachyderm is hiring an Engineer to own and lead our efforts around building the automation infrastructure, tools and framework for testing the core product. You’ll also own the charter for performance benchmarks, long-running deployments, CI and releases
* Product Manager – experience with Data Science, ML or Data Analysis product - work cross functionally across both engineering and the go-to-market team to build and launch new products. You will become an expert on our customers, competitors and market in order to make effective product investment decisions. You will track success with progress against measurable business objectives, as well as positive customer outcomes
* Developer/Advocate/Relations — Be the face and voice of the open source Pachyderm community and part of our elite content team. You’ll work with users in slack, create blog, YouTube, webinars and conference content
* Core Distributed Systems/Infrastructure Engineer (Golang) -- You'll be solving hard algorithmic and distributed systems problems every day and building a first-of-its-kind, containerized, data infrastructure platform
* Full-Stack Engineer -- You'll be working closely with our systems engineering and design teams to ship a core product that will define the future of the business. Your main task with be developing the web application that will become the "face" of the product and one of the primary modes for data scientists to build/manage their data and pipelines.
At Pachyderm, we're building an open-source, enterprise-grade data science platform that lets you deploy and manage multi-stage, language-agnostic data pipelines while maintaining complete reproducibility and provenance. Our system, developed with open source roots, shifts the paradigm of data science workflows by providing reproducibility, data provenance, and opportunity for true collaboration. Pachyderm utilizes modern technologies like Docker and Kubernetes to build an entirely new method of analyzing data. Offered both as an in-house solution as well as hosted-service, Pachyderm brings together version-control for data with the tools to build scalable end-to-end ML/AI pipelines while empowering users to use any language, framework, or tool they want. If you want to learn more about our grand vision, read what has become our "manifesto."
Pachyderm is a rapidly growing, early-stage company funded by the top VC’s — Benchmark, Decibel, M12, and YCombinator. Pachyderm embraces a “remote-first” approach to growing our team. We believe this gives us a huge advantage in hiring top talent and diverse talent across the country while giving our team members the flexibility to work from anywhere.
You can check out our product on GitHub because it’s open-source and try our cloud service for free.
* Front-End Engineer -- Pachyderm is looking for a Javascript (React) developer to join our team building out the front-end of our enterprise product. You'll be working closely with our systems engineering and design teams to ship a core product that will define the future of the business. Your main task with be developing the web application that will become the "face" of the product and one of the primary modes for data scientists to build/manage their data and pipelines.
* Developer Productivity Engineer/SDET -- Pachyderm is hiring an Engineer to own and lead our efforts around building the automation infrastructure, tools and framework for testing the core product. You’ll also own the charter for performance benchmarks, long-running deployments, CI and releases
* Product Manager – experience with Data Science, ML or Data Analysis product - work cross functionally across both engineering and the go-to-market team to build and launch new products. You will become an expert on our customers, competitors and market in order to make effective product investment decisions. You will track success with progress against measurable business objectives, as well as positive customer outcomes
* TAM/Customer Support Engineer -- resolve highly technical issues across our internal and external customers. You will be the point of contact for all technical support related issues and work closely with our engineering, pre-sales and customer success teams
Docs Engineer/Tech Writer -- Build and maintain our documentation infrastructure, web portal, and release process, write documentation for new product features and translate technical challenges into simplified documents
Developer/Advocate/Relations — Be the face and voice of the open source Pachyderm community and part of our elite content team. You’ll work with users in slack, create blog, YouTube, webinars and conference content
* Core Distributed Systems/Infrastructure Engineer (Golang) -- You'll be solving hard algorithmic and distributed systems problems every day and building a first-of-its-kind, containerized, data infrastructure platform
At Pachyderm, we're building an open-source, enterprise-grade data science platform that lets you deploy and manage multi-stage, language-agnostic data pipelines while maintaining complete reproducibility and provenance. Our system, developed with open source roots, shifts the paradigm of data science workflows by providing reproducibility, data provenance, and opportunity for true collaboration. Pachyderm utilizes modern technologies like Docker and Kubernetes to build an entirely new method of analyzing data. Pachyderm brings together version-control for data with the tools to build scalable end-to-end ML/AI pipelines while empowering users to use any language, framework, or tool they want. If you want to learn more about our grand vision, read what has become our "manifesto."
Pachyderm is a rapidly growing, early-stage company funded by the top VC’s — Benchmark, Decibel, M12, and YCombinator. Pachyderm embraces a “remote-first” approach to growing our team. We believe this gives us a huge advantage in hiring top talent and diverse talent across the country while giving our team members the flexibility to work from anywhere.
You can check out our product on GitHub because it’s open-source and try our cloud service for free.
* Developer Productivity Engineer/SDET -- Pachyderm is hiring an Engineer to own and lead our efforts around building the automation infrastructure, tools and framework for testing the core product. You’ll also own the charter for performance benchmarks, long-running deployments, CI and releases
* Product Manager – experience with Data Science, ML or Data Analysis product - work cross functionally across both engineering and the go-to-market team to build and launch new products. You will become an expert on our customers, competitors and market in order to make effective product investment decisions. You will track success with progress against measurable business objectives, as well as positive customer outcomes
* TAM/Customer Support Engineer -- resolve highly technical issues across our internal and external customers. You will be the point of contact for all technical support related issues and work closely with our engineering, pre-sales and customer success teams
Docs Engineer/Tech Writer -- Build and maintain our documentation infrastructure, web portal, and release process, write documentation for new product features and translate technical challenges into simplified documents
Developer/Advocate/Relations — Be the face and voice of the open source Pachyderm community and part of our elite content team. You’ll work with users in slack, create blog, YouTube, webinars and conference content
* Core Distributed Systems/Infrastructure Engineer (Golang) -- You'll be solving hard algorithmic and distributed systems problems every day and building a first-of-its-kind, containerized, data infrastructure platform
Backchanneling on every candidate would be way too much. It's only worthwhile when its a high level and high impact role. Moreso, if you were to feel the need to backchannel on everyone, that basically means you dont trust your current team and interview process and should instead focus on that.
Cold backchannel make no sense to me. Not only does it not accomplish the goals of having a trusted and confidential source, but also I would not want this getting back to the candidate accidentally. That would be poor form.