NscaleWorkflow Builder
Nscale is hiring a Workflow Builder for a remote role open to applicants in United States. It pays $140k-$240k a year and Level rates it ; you can apply on Nscale.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- This is listed as a remote role.
- The posting mentions Palantir Foundry, Python and TypeScript among its tools and skills.
- Level classes it as a senior role.
- Nscale has 297 other open roles on Level.
AI in this role
Design and scale data infrastructure and workflows across Palantir Foundry to power operations at an AI-focused GPU cloud company.
About Nscale
Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.
We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future.
About the Role
We're hiring a Workflow Builder to design, build, and own the data infrastructure and workflows that power Nscale's operations. You'll define the roadmap, architect solutions across Palantir Foundry, and ensure every team — from the C-suite to the factory floor — makes decisions backed by the right data. This is a rare opportunity to shape the operating system for a high-growth AI infrastructure company, spanning functions across Infrastructure, Product, Finance, Commercial, People, and Operations. You'll work at the intersection of strategy and execution — distilling the most valuable workflows from complex inputs and translating them into production-grade systems that scale.
What You'll Do
- Own the end-to-end enterprise data and application roadmap, from use-case identification through to production rollout
- Implement standards for data ingestion, pipeline orchestration, semantic modeling, and governance across analytics systems
- Manage canonical data models, ontologies, RBAC, and access frameworks
- Integrate operational and AI systems into a unified data fabric, with feedback loops to track performance and reliability
- Drive platform adoption through onboarding, documentation, and self-service tooling
- Contribute to the internal Palantir Center of Excellence, including vendor engagement
Who You Are
- 5+ years in data engineering across fast-moving environments
- Proficient in Python and TypeScript; experienced with Git
- Required: hands-on experience deploying and building in Palantir Foundry
- Proven ability to turn ambiguous briefs into shipped, adopted products
- Comfortable working across all levels of an organization
The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.
Salary Range$140,000—$240,000 USDFor information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.
Nscale does not accept unsolicited candidate submissions from recruitment agencies.
How we rate this
Workflow Builder at Nscale rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where pipeline orchestration was part of your work. What did you do?
- Tell me about a project where semantic modeling was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where data architecture was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Engineering, Pipeline Orchestration, Semantic Modeling, Data Governance, and Data Architecture. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
Get your CV reviewed before you apply
Send your CV and the role you want next. Your review arrives by email within 3 days.
Get new remote AI jobs (Works on AI ●●●○ or higher) by email
One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free.
Similar roles
Other roles that work on AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step