Senior Specialist Field Engineer - SaaS

CoreWeave•San Francisco, CA

61d•Onsite

About The Position

The SaaS Specialist team makes sure customers get real, lasting value out of the CoreWeave SaaS platform — not just at kickoff, but as they scale. You'll work closely with Sales, Support, Product, and Engineering, and you'll spend real time hands-on with customers: in workshops, in their architecture reviews, and in their toughest integration problems. About the Role We're hiring a Specialist Field Engineer, SaaS to help customers get the most out of our platform and to help our own field teams sell and deliver it well. You'll wear a few hats: teacher, builder, and trusted advisor. Some days you're running a workshop that turns a customer's vague idea into a clear technical plan. Other days you're heads-down building a reference architecture or demo that the whole field team can reuse. And sometimes you're the person who steps into a hard customer integration and gets it unstuck.

Requirements

3+ years in a similar customer-facing technical role (solutions engineering, SRE, field engineering, or similar).
Comfortable in Python and confident writing and reading code with customers watching.
Hands-on experience with Docker, Kubernetes, and Infrastructure-as-Code tools like Terraform.
Solid experience with at least one major cloud platform (AWS, GCP, or Azure); comfortable across more than one is even better.
Comfortable working in Linux/Unix environments day to day.
Strong communicator — you can explain a technical idea clearly to an engineer and just as clearly to a customer executive.
Good at breaking down a messy, open-ended problem into a clear plan, working closely with the customer along the way.
Able to juggle multiple customers and priorities without dropping the ball, even when things move fast.

Nice To Haves

Experience building workshops, playbooks, or enablement content for a field or sales team.
Background in MLOps or LLMOps, or building ML/AI pipelines end to end.
Experience with GenAI tooling and working with LLMs.
Familiarity with data pipeline tools and common integration patterns (identity/access, third-party systems, data flows).
A track record of shipping reusable technical assets — sample code, demo apps, internal tools — that other engineers picked up and used.

Responsibilities

Teach the field team what they need to know — through feature walkthroughs, playbooks, demo guides, and office hours — so they can sell and deliver with confidence.
Focus your time on what matters most to the business, by lining up your work with our top product and go-to-market priorities.
Design and run hands-on workshops for customers — architecture reviews, feature adoption sessions, and post-sale planning — that leave them with a clear next step.
Build reusable accelerators — reference architectures, sample code, demo environments, integration templates — so good patterns don't have to be reinvented for every customer.
Jump into high-priority customer engagements when deep, hands-on technical work is needed to unblock a deal or prove out a workflow.
Contribute directly to the product — examples, integrations, demo apps, internal tools, docs, and the occasional bug fix — through the normal engineering review process.
Help customers design, test, and troubleshoot integrations with the SaaS platform — APIs, data flows, identity and access, and third-party systems — and feed what you learn back into better docs and accelerators.