Principal Solutions Specialist, Inference
CoreWeave is hiring a Principal Solutions Specialist, Inference in Bellevue, Dallas and San Francisco, United States. It pays $177k-$237k a year and Level rates it ; you can apply on CoreWeave.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions vLLM among its tools and skills.
- Level classes it as a lead role.
- CoreWeave has 292 other open roles on Level.
- Posted in the last few days.
AI in this role
What You'll Do:
As CoreWeave turns raw GPU capacity into production-grade AI services, it is launching new ways for customers to run, scale, and serve AI workloads, and those new services need a market-maker. Runtime services compose the platform our customers use to apply AI to new solutions, and integrate AI models into production applications.
The AI infrastructure market is moving faster than any playbook can keep up with, and the companies building at its frontier, from early-stage North American startups to the world's largest enterprises with operations across AMER, need a commercial partner who understands their infrastructure requirements as instinctively as they do. As a Principal Solution Specialist for Inference in AMER, you open new market opportunities across the execution layer and drive the initial adoption of these offerings with the earliest customers and industries to need them. You channel what you learn into the product roadmap, and scale your insights to make the broader sales and solution architecture organization fluent in the value runtime services create for new customers.
About the role: As a Principal Solution Specialist for Inference in AMER, you work at the leading edge of how CoreWeave brings new inference offerings to market. Rather than running an existing motion, you help create one: you take newly launched services like CoreWeave Serverless and Dedicated Inference into new accounts and new industries in AMER, prove their value with the first wave of customers operationalizing AI at scale, and establish the playbooks sales and solution architects use to repeat those wins in the region. You are the field's authoritative voice back to engineering and help shape how CoreWeave builds and goes to market across AMER.
In this role, you will:
- Serve as the AMER field's primary intelligence source on how AI companies across North American industries and company stages think about and consume inference, translating regional customer conversations into direct input for CoreWeave's global product, engineering, capacity planning, finance, and marketing teams.
- Drive the commercial and technical strategy in AMER for net new customer wins in inference, where execution performance, deployment flexibility, and operational reliability are the primary buying triggers.
- Identify new business opportunities in AMER where inference performance, throughput optimizations, ephemeral compute, model choice, or operational complexity are barriers to scaling AI on CoreWeave.
- Develop deep expertise across the AI runtime landscape (AI applications, model selection, model serving architectures, containerized AI workloads), using CoreWeave's Inference as a flagship example of what best-in-class runtime looks like.
- Translate customer requirements around serving frameworks (e.g., vLLM, SGLang, TensorRT-LLM), serverless endpoints, agentic requirements, and model customization into specific product feedback that shapes the inference roadmap.
- Develop deal structures, technical playbooks, and benchmark narratives that help AMER sales and SA teams accelerate runtime-sensitive opportunities across the full spectrum of AI deployment patterns.
- Engage directly with AMER customers as the authoritative voice on runtime performance tradeoffs, cost-per-token economics, and the architectural decisions that separate prototype deployments from production-scale AI systems.
- Partner with global product specialists to build integrated deal proposals that reflect the full value of CoreWeave's infrastructure platform for AMER customers.
Who You Are:
- 10+ years of experience in distributed systems, ML infrastructure, or production AI applications, with a track record of applying that expertise to drive customer outcomes and revenue in AMER markets.
- 5+ years working with AI runtime systems (model serving, inference optimization, containerized workload execution, model routing, agentic workloads) in customer-facing or deal-shaping capacity.
- Working knowledge of what AI applications need in production, such as frameworks, batching strategies, memory management, and the performance levers that determine throughput and latency at scale.
- Deep understanding of how AI companies across AMER, from startups building their first production systems to enterprises scaling global AI deployments, evaluate, procure, and operationalize AI models through inference platforms, including the technical, financial, regulatory, and organizational dynamics that drive those decisions across key AMER markets.
- Ability to benchmark, explain, and commercially position runtime performance differences across deployment patterns, instance types, and serving configurations.
Preferred:
- Experience driving new business or shaping product strategy for the AMER market with AI technologies, such as generative AI applications, autonomous systems, agents, or developer platforms
- Prior background in technical sales, solution consulting, or product management supporting large-scale inference infrastructure or AI platform decisions.
- Deep understanding of cost-per-token economics, inference fleet optimization, and the commercial tradeoffs between on-demand, reserved, and spot GPU capacity for runtime workloads.
- Strong understanding of how enterprises evaluate inference platforms based on factors like cost, latency, and scalability
- Familiarity with Kubernetes-native runtime orchestration (autoscaling, scheduling policies, GPU operators) and how it impacts workload portability, operational complexity, and platform stickiness.
- Advanced degree in Computer Science, Machine Learning, or Engineering, or equivalent experience with a demonstrated ability to operate at the intersection of technical architecture and commercial strategy.
Wondering if you're a good fit?
Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams, even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk.
- You love translating boardroom goals into technical reality: you can explain high-level business strategy and low-level runtime performance tradeoffs in the same meeting.
- You love acting as the bridge: between high-level sales strategy and deep ML infrastructure engineering.
- You are an expert at navigating "The Room": you have a proven ability to manage complex, multi-stakeholder technical evaluations without losing momentum.
Why CoreWeave?
At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
- Be Curious at Your Core
- Act Like an Owner
- Empower Employees
- Deliver Best-in-Class Client Experiences
- Achieve More Together
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
The base salary range for this role is $177,000 to $237,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
What We Offer
The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.
In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include:
- Medical, dental, and vision insurance - 100% paid for by CoreWeave
- Company-paid Life Insurance
- Voluntary supplemental life insurance
- Short and long-term disability insurance
- Flexible Spending Account
- Health Savings Account
- Tuition Reimbursement
- Ability to Participate in Employee Stock Purchase Program (ESPP)
- Mental Wellness Benefits through Spring Health
- Family-Forming support provided by Carrot
- Paid Parental Leave
- Flexible, full-service childcare support with Kinside
- 401(k) with a generous employer match
- Flexible PTO
- Catered lunch each day in our office and data center locations
- A casual work environment
- A work culture focused on innovative disruption
California Applicants
California Consumer Privacy Act
Equal Opportunity & Accommodations
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.
Export Control Compliance
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
How we rate this
Principal Solutions Specialist, Inference at CoreWeave rates 75 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
- What's a project where you used vLLM hands-on?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: vLLM. 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.
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