Level

CoreWeave

Manager, Account Solutions Architecture Greenfields

CoreWeave is hiring a Manager, Account Solutions Architecture Greenfields in New York, United States. It pays $182k-$242k a year and Level rates it ; you can apply on CoreWeave.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this solutions architect role: the daily work is on AI products, without building the model.
  • Pay on this posting starts 8% higher than the typical solutions architect posting on Level.
  • The posting mentions Vertex AI, Weights And Biases and SageMaker among its tools and skills.
  • Level classes it as a senior role.
  • CoreWeave has 317 other open roles on Level.

AI in this role

Lead a team of Solutions Architects managing complex customer deployments and ML infrastructure across cloud and on-prem environments.

vertex-aiweights-and-biasessagemakerawsgcpazurekubernetes
ml-opssolutions-architectureinfrastructurekubernetesincident-management
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

What You'll Do:

Our Solutions Architecture team at Weights & Biases is a unique hybrid organization, combining the deep technical skills of Site Reliability Engineering with the consultative expertise of Solutions Architecture. We focus on ensuring customers can successfully deploy and operate W&B across cloud and on-prem environments while delivering a best-in-class experience that accelerates ML adoption at scale. The team is the last technical mile between a signed contract and a customer training models in production — and increasingly, the team that decides how fast that happens.

About the Role:

As Manager / Senior Manager, Solutions Architecture, you'll lead the Solutions Architects who own our most complex customer deployments across AWS, GCP, Azure, and on-prem environments in [REGION]. This is a player-coach role: you'll keep your hands on the work — architecture reviews, critical escalations, the occasional deployment you run yourself — while building the team and the systems that scale past you. You'll own hiring and ramp in region, coverage across accounts and time zones, and the standard for how deployments get executed and documented. You'll be the technical escalation point for customer infrastructure failures and the person regional Sales and Field Engineering leadership come to when a deal turns on a technical outcome. And you'll convert recurring customer pain into roadmap input and reusable assets — reference architectures, runbooks, automation, and enablement your team delivers in the field.

  • Lead and grow a team of Solutions Architects covering [REGION], including hiring, onboarding, ramp plans, and performance management
  • Stay hands-on in customer environments — architecture reviews, deployment escalations, and root-cause analysis on Kubernetes, networking, storage, and cloud infrastructure issues
  • Own the regional coverage model: account assignment, on-call, escalation paths, and response expectations across time zones
  • Partner with Sales Engineering, Field Engineering, and Support leadership on pre-sales technical validation, deployment planning, and post-sales adoption
  • Drive leverage: turn repeat issues into reference architectures, Terraform and Helm assets, runbooks, and enablement content instead of repeat escalations
  • Deliver and coach the team on technical workshops, demos, and customer enablement sessions
  • Feed structured field evidence into Product and Engineering to influence roadmap and deployment tooling priorities

Who You Are:

  • 3+ years managing a customer-facing technical team (Solutions Architecture, SRE, TAM, professional services, or field engineering) with direct hiring and performance-management responsibility — 5+ years for Senior Manager
  • 7+ years total hands-on infrastructure, platform, or SRE experience — 10+ for Senior Manager
  • Demonstrated track record of systematically diagnosing and resolving production infrastructure issues in customer-owned environments
  • Hands-on expertise with Docker, Kubernetes, and Helm charts, plus networking fundamentals (DNS, TLS, ingress, load balancing, proxies) and cloud-managed services (e.g., MySQL, object stores)
  • Production experience with Infrastructure as Code, preferably Terraform
  • Proficiency with at least one cloud platform (AWS, GCP, Azure); working knowledge of more than one is a plus
  • Strong Linux/Unix command line experience
  • Working proficiency in Python and familiarity with ML workflows or tooling
  • Experience supporting both multi-tenant SaaS and customer-managed / on-prem deployments of the same product
  • Demonstrated experience delivering technical workshops, demos, or enablement sessions to customer engineering teams

Preferred:

  • Deep proficiency in Kubernetes design patterns, including Operators and CRDs
  • Experience building a regional technical team from a small headcount into a durable function with defined coverage, on-call, and ramp
  • Familiarity with data engineering and MLOps tooling (e.g., Ray, Kubeflow, Slurm, Airflow, SageMaker, Vertex AI)
  • Experience with GPU infrastructure and distributed training workloads
  • SaaS, web service, or distributed systems operations experience at scale
  • Experience with air-gapped, sovereign, or regulated-industry deployments

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 diving into infrastructure problems and solving them systematically — and you get more satisfaction from your team solving them than from solving them alone
  • You're curious about how to scale complex ML systems in production environments
  • You're an expert in building and running containerized, distributed systems
  • You'd rather write the runbook once than answer the same escalation five times
  • You're comfortable being the calm one on a customer bridge call at 2am, and the one who makes sure it doesn't happen again

Why Us?

We work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss. 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 provides the opportunity to develop innovative solutions to complex problems. As we prepare for takeoff, the growth opportunities within the organization continue to expand. 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 $182,000 to $242,000. 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).

#LIjobs

 

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

Manager, Account Solutions Architecture Greenfields at CoreWeave 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.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

ML OpsSolutions ArchitectureInfrastructureKubernetesIncident ManagementVertex AIWeights And BiasesSageMaker

Also common in solutions architect jobs at this level

Pay

This job starts at
$182k
Typical solutions architect job
$168k

This posting starts 8% above the typical solutions architect job. See solutions architect jobs

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. Tell me about a project where solutions architecture was part of your work. What did you do?
  3. Tell me about a project where infrastructure was part of your work. What did you do?
  4. Tell me about a project where kubernetes was part of your work. What did you do?
  5. Tell me about a project where incident management was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: ML Ops, Solutions Architecture, Infrastructure, Kubernetes, and Incident Management. 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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