Baseten Labs | San Francisco, New York |ONSITE, REMOTE, HYBRID | VISA SPONSORSHIP | RELOCATION SUPPORT We are Baseten, the team that powers mission-critical inference for the world’s most dynamic AI companies such as Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. We’re growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock and Conviction.
By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production.
1. Solution Architect: You will partner closely with sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnerships with Sales and Engineering
2. AI Solutions Engineer/Forward Deployed Engineer: You will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment. To be clear, this is a technical engineering role with hands-on coding and software dev that also includes aspects of product management, technical customer success and pre-sales solutions engineering mixed in. We’re language agnostic but strong Python and ML experience is a big plus.
The Offer:
Compensation: Very competitive, we’re looking for folks with a breadth of experience
Equity: This is an opportunity to participate in the ownership of a fast-growing AI Infrastructure platform
Location: We are based out of San Francisco with offices in New York. We are also open to remote employees for these roles.
Baseten Labs | San Francisco, New York |ONSITE, REMOTE, HYBRID | VISA SPONSORSHIP | RELOCATION SUPPORT
We are Baseten, the team that powers mission-critical inference for the world’s most dynamic AI companies such as Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. We’re growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock and Conviction.
By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production.
1. Solution Architect: You will partner closely with sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnerships with Sales and Engineering
2. AI Solutions Engineer/Forward Deployed Engineer: You will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment. To be clear, this is a technical engineering role with hands-on coding and software dev that also includes aspects of product management, technical customer success and pre-sales solutions engineering mixed in. We’re language agnostic but strong Python and ML experience is a big plus.
3. Customer Engineer: You'll partner closely with Solutions Architecture, SRE, Infra, Product, and Forward Deployed Engineering, but you own the customer outcome end-to-end: from first response to root-cause analysis to the follow-up that reinforces trust. This role blends deep infrastructure debugging, AI/ML performance expertise, incident command, and proactive account ownership. You'll triage and resolve issues across Kubernetes, GPUs, networking, and model serving, lead war rooms during P0 escalations, and translate recurring pain points into product improvements.
The Offer:
Compensation: Very competitive, we’re looking for folks with a breadth of experience
Equity: This is an opportunity to participate in the ownership of a fast-growing AI Infrastructure platform
Location: We are based out of San Francisco with offices in New York. We are also open to remote employees for these roles.
Baseten Labs | San Francisco, New York |ONSITE, REMOTE, HYBRID | VISA SPONSORSHIP | RELOCATION SUPPORT
We are Baseten, the team that powers mission-critical inference for the world’s most dynamic AI companies such as Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. We’re growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock and Conviction.
By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production.
1. Solution Architect: You will partner closely with sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnerships with Sales and Engineering
2. AI Solutions Engineer/Forward Deployed Engineer: You will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment. To be clear, this is a technical engineering role with hands-on coding and software dev that also includes aspects of product management, technical customer success and pre-sales solutions engineering mixed in. We’re language agnostic but strong Python and ML experience is a big plus.
3. Forward Deployed SRE: You will serve as the primary post-sales technical owner for our most strategic customers, ensuring smooth deployment, performance, and reliability of ML workloads in production. The role blends hands-on debugging, infrastructure expertise, AI model performance, and executive level customer facing ownership. We’re looking for deep Kubernetes and container orchestration experience along with a polished communication and executive level presence.
The Offer:
Compensation: Very competitive, we’re looking for folks with a breadth of experience
Equity: This is an opportunity to participate in the ownership of a fast-growing AI Infrastructure platform
Location: We are based out of San Francisco with offices in New York. We are also open to remote employees for these roles.
Baseten Labs | San Francisco, New York |ONSITE, REMOTE, HYBRID | VISA SPONSORSHIP | RELOCATION SUPPORT
We are Baseten, the team that powers mission-critical inference for the world’s most dynamic AI companies such as Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. We’re growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock and Conviction.
By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge model into production.
1.AI Solutions Engineer/Forward Deployed Engineer: You will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment. To be clear, this is a technical engineering role with hands-on coding and software dev that also includes aspects of product management, technical customer success and pre-sales solutions engineering mixed in. We’re language agnostic but strong Python and ML experience is a big plus.
2. Forward Deployed SRE: You will serve as the primary post-sales technical owner for our most strategic customers, ensuring smooth deployment, performance, and reliability of ML workloads in production. The role blends hands-on debugging, infrastructure expertise, AI model performance, and executive level customer facing ownership. We’re looking for deep Kubernetes and container orchestration experience along with a polished communication and executive level presence.
The Offer:
Compensation: Very competitive, we’re looking for folks with a breadth of experience
Equity: This is an opportunity to participate in the ownership of a fast-growing AI Infrastructure platform
Location: We are based out of San Francisco with offices in New York. We are also open to remote employees for these roles.
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. 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.
* 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
Pachyderm (YC W15) | Golang/Distributed Systems, Product, TAM, Developer Advocate | Full-time REMOTE (US or Canada) | Competitive Compensation with equity/full benefits on all openings
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.
* 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
* 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
* Demand/Lead Gen Marketing — help lead, strategize, execute on lead generation campaigns ranging from ads, SEO, content, webinars, events, and anything else you can think of.
* Technical Product Marketing — Develop technical market materials including website copy, case studies, white papers, sales & product materials in close collaboration with the rest of customer-facing org.
* Engineering Leader – Drive the charter to build a platform that is “Git for Data Science”, lead a high performing team of engineers and leads, create and own the long-term roadmap and deliverables for your team.
* Enterprise Sales Engineer -- Work with Pachyderm's OSS and Enterprise customers to ensure their success. This is a customer facing role that bridges support, product, customer success, and engineering.
* 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.
* Software Engineer – Test and Automation -- 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.
About Pachyderm: Love Docker, Golang, Kubernetes and distributed systems? Pachyderm is an enterprise data science platform that offers Git-like version control semantics for massive data sets and end-to-end data lineage tracking and auditing. Teams that find themselves struggling to maintain a growing mess of advance data science tasks such as machine learning or bioinformatics/genomics research use Pachyderm to greatly simplify their system and reduce development time. They rely on Pachyderm to do the heavy lifting so they can focus on the business logic in their data pipelines. Pachyderm raised our Series B led by M12, Microsoft’s venture arm (https://www.pachyderm.com/blog/pachyderm-closes-16-million-s...), so you'd be getting in right at the ground floor and have an enormous impact on the success and direction of the company as well as building the rest of the engineering team. Check us out at: pachyderm.com http://github.com/pachyderm/pachyderm
By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production.
Apply Here: https://jobs.ashbyhq.com/baseten?utm_source=gkzEP29VD4 or email [email protected]
We are hiring for multiple core roles:
1. Solution Architect: You will partner closely with sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnerships with Sales and Engineering
2. AI Solutions Engineer/Forward Deployed Engineer: You will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment. To be clear, this is a technical engineering role with hands-on coding and software dev that also includes aspects of product management, technical customer success and pre-sales solutions engineering mixed in. We’re language agnostic but strong Python and ML experience is a big plus.
The Offer:
Compensation: Very competitive, we’re looking for folks with a breadth of experience
Equity: This is an opportunity to participate in the ownership of a fast-growing AI Infrastructure platform
Location: We are based out of San Francisco with offices in New York. We are also open to remote employees for these roles.
Process: If you’re interested, please apply here https://jobs.ashbyhq.com/baseten?utm_source=gkzEP29VD4 or email me direct at [email protected]