Principal Solution Specialist, Infrastructure
Dallas, TX - USA
Job Summary
What Youll Do:
CoreWeave is rapidly expanding beyond raw compute into the developer experience layer that makes AI teams productive at scale and those new services need someone to bring them to market. As a Principal Solution Specialist for AI Developer Services you open new market opportunities for CoreWeaves developer tooling and drive its initial adoption with the first customers and industries to put it to work. You feed what you learn directly into the product roadmap and you equip the wider sales and solution architecture teams to articulate the value of these services to new audiences.
About the role: As a Principal Solution Specialist for AI Developer Services you sit at the front edge of CoreWeaves expansion into the tools that live between GPU infrastructure and production AI. This is a market-creation role: you take newly launched developer services into accounts where developer velocity model governance and application observability are becoming buying criteria win the first customers and build the repeatable narratives and playbooks the rest of the field uses to scale. You are the connective tissue between early customers and the engineering and Weights & Biases teams turning field insight into the requirements that shape the AI Developer Services roadmap.
In this role you will:
- Own the commercial and technical strategy for net new customer wins in AI developer tooling where experiment reproducibility model lifecycle governance and LLM application observability are the primary buying triggers.
- Drive new business opportunities where missing experiment tracking infrastructure model versioning gaps or LLM observability blind spots are barriers to scaling AI development on CoreWeave.
- Build deep expertise across the AI developer tooling landscape (MLOps platforms model registries evaluation frameworks and LLM tracing infrastructure) using Weights & Biases Models and Weave as flagship examples of what best-in-class developer services look like on CoreWeave.
- Translate customer requirements around experiment management dataset versioning model promotion workflows and LLM trace analysis into specific product feedback that shapes the AI Developer Services roadmap.
- Develop deal structures technical playbooks and capability narratives that help sales and SA teams accelerate opportunities where developer experience and MLOps maturity are key evaluation criteria.
- Engage directly with ML engineering leads platform teams and AI application developers as the authoritative voice on model lifecycle best practices LLM evaluation strategies and the tooling decisions that separate ad hoc AI development from governed production-scale ML organizations.
- Design the commercial framework for AI developer services deals including platform seat modeling usage-based pricing structures and enterprise integration requirements to support large-scale closings.
- Partner with product engineering and Weights & Biases teams to maintain a competitive edge on developer experience workflow integration depth and observability capabilities across active and prospective customer deployments.
Who You Are:
- 10 years of experience in ML engineering MLOps or AI platform development with a track record of applying that expertise to drive customer outcomes and revenue.
- 5 years working with experiment tracking model registry or LLM observability platforms ideally including hands-on experience with Weights & Biases (Models and/or Weave) in a customer-facing or deal-shaping capacity.
- Deep working knowledge of the ML development lifecycle: experiment management hyperparameter optimization dataset versioning model evaluation and the operational patterns that govern how models move from research to production.
- Strong familiarity with LLM application development patterns including prompt engineering workflows RAG pipelines agent evaluation and the observability requirements that emerge when LLMs are deployed in production (with specific knowledge of tools like W&B Weave LangSmith or similar).
- Experience working with enterprise ML platform teams on model governance audit requirements and the organizational challenges of scaling AI development across multiple teams and projects.
- Ability to benchmark explain and commercially position developer tooling capabilities (experiment reproducibility trace depth evaluation coverage) against customer MLOps maturity requirements.
- Familiarity with the broader MLOps ecosystem (MLflow DVC Kubeflow Ray) and how Weights & Biases products differentiate within it.
Preferred:
- Experience driving new business or shaping product strategy in industries with mature ML development practices such as generative AI product companies enterprise AI teams pharmaceutical R&D or financial services modeling groups.
- Prior background in technical sales solution consulting or product management supporting MLOps platform adoption or AI developer tooling decisions.
- Deep understanding of how developer tooling decisions cascade into infrastructure choices and how positioning W&B Models and Weave as part of a CoreWeave deployment creates durable platform lock-in.
- 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 youre a good fit
Wondering if youre 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 arent a 100% skill or experience match. Here are a few qualities weve found compatible with our team. If some of this describes you wed love to talk.
- You love translating boardroom goals into technical reality: you can explain high-level AI strategy and low-level MLOps workflow challenges in the same meeting.
- You love acting as the bridge: between high-level sales strategy and the day-to-day realities of ML engineering teams.
- 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! Were in an exciting stage of hyper-growth that you will not want to miss out on. Were not afraid of a little chaos and were 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 organizations 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 $161000 to $237000. 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 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 weve 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 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
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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: .
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.
Required Experience:
Staff IC
About Company
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 loc ... View more