Technical Solutions Engineer
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. If you want to learn more about our grand vision, read what has become our "manifesto." 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.
As a Technical Solutions Engineer at Pachyderm, you will be part of a small, elite, customer-facing engineering team (think Seal Team 6) devoted to solving challenging infrastructure and data platform issues for both our open source users and enterprise customers. This can be anything from debugging network issues to architecting complex machine learning pipelines to troubleshooting Kubernetes and Docker. This role is perfect for engineers who love working directly with customers and prefer to witness success alongside the user first-hand.
In this role 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. You goal is to build customer trust in Pachyderm which will result in customer success in the post-sale.
This is mostly a pre-sales role role focused on maximizing value for our enterprise deployments, but will also include working with Support Engineering, engaging with prominent OSS users, and being part of our broader customer success org. You will help manage our customers through deployment, training, implementation of best practices, and ongoing troubleshooting. These projects can range from small projects at AI technology startups to fortune 100 enterprise implementations.
Additionally, this role is both HIGHLY technical and a skilled relationship builder. They will be comfortable showing an engaging communications experience to a CEO or sketching out a containerized infrastructure in Kubernetes and Docker. You will be part of the customer facing engineering team and thus an integral technical resource for sales. We are looking for someone who understands the value of the product, can answer technical questions, qualify the technical aptitude of potential sales opportunities, and be a trusted advisor.
While you'll have direct access and support from our engineering team, you will also have ample opportunity to commit to the core Pachyderm codebase yourself. As an open source project, detailed GitHub issues are great, but PRs are pure gold!
While your primary focus will of course be driving the technical pre-sales process, you’ll also have direct exposure to users and enterprise customers via our open source support channels. At Pachyderm, OSS user and customer feedback is major driver of our product roadmap and we believe that everyone within the company should experience that first-hand.
Pachyderm is just a small team right now, so you'd be getting in right at the ground floor and have an enormous impact on the success and direction of the company and product. However, this also means that you will with customer support, help align on goals and KPI’s and contribute to customer success. In addition to Solutions Engineering, our first few hires in these roles will also be doing some Support and Implementation Engineering and Technical Account Management. We are currently looking for all three roles and as such, you are welcome to apply to one or more.
Finally, please do feel free to check out the product on GitHub as it’s open source!
We offer significant equity, full benefits, and all the usual startup perks.
- 3 plus years technical pre-sales experience selling complex, highly technical products.
- Experience with Kubernetes or experience selling Kubernetes in a Containerized Infrastructure
- Experience selling B2B Enterprise Software
- Hands-on, high-energy, passionate, and creative problem solver with know how to get things done and ability to lead others to success
- Excellent communicator and presenter, able to gain audience confidence
- Ability to build a deep understanding of a customer’s infrastructure and Data Science needs and guide them to a technical solution
- Previous software development experience in one or more of the following areas: Golang, Python, Java, C#, Node.js, PHP
- 2+ years of experience working in distributed systems, data infrastructure, back-end systems or related development work
- Familiarity with cloud platforms (AWS, GCP, Azure) and cloud application architecture
- Previous experience with CL, cloud deployments, Authentication, and Security is a plus