CoreWeave · Go-to-market · Lead / Manager · Posted 2026-08-18
Manager, Account Solutions Architecture Greenfields
CoreWeave · New York, NY · $182k–242k base
This range's midpoint is above 59% of posted go-to-market ranges at AI companies right now. See the salary index.
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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 workfl …
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