Job description

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.

Requirements

Must-haves

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
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
Strong Linux/Unix command line experience

Nice-to-haves

Proficiency with at least one cloud platform (AWS, GCP, Azure); working knowledge of more than one is a plus
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?
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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlawsgcpazurekubernetesdockerpython

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Parental Leave

Wellness