Director, Account Solutions Architecture

About this role

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 Director, Solutions Architecture, you'll own the function across [REGION] — the team, the operating model, and the outcomes. You'll lead managers and senior individual contributors responsible for how W&B is deployed and operated in our largest and most complex accounts, across AWS, GCP, Azure, and on-prem and air-gapped environments. Your central problem is leverage: how technical delivery scales without headcount scaling linearly with revenue, through coverage design, automation, reference architectures, partner enablement, and the management layer you build beneath you. You'll be a peer to Sales, Field Engineering, Support, and Product leadership — accountable alongside them for adoption, retention, and expansion in region — and you'll carry the clearest signal we have on customer reality into roadmap and platform investment. Externally, you'll serve as executive technical sponsor for strategic accounts and the face of W&B engineering credibility in [REGION].

• Own Solutions Architecture across [REGION]: strategy, operating model, headcount plan, capacity forecasting, and leveling

• Build and develop the management layer — hire and coach managers and team leads rather than remaining the single escalation point

• Define how deployments scale: reference architectures, automation and IaC standards, deployment SLAs, and quality bars across sub-regions

• Operate as a senior cross-functional partner to Sales, Field Engineering, Support, and Product leadership, jointly accountable for regional adoption, retention, and expansion

• Stand up leverage programs that reduce direct delivery load — customer and partner enablement, certification, self-service tooling, and documentation

• Serve as executive technical sponsor for strategic accounts, including escalation ownership at the CTO and VP Engineering level

• Translate aggregated field evidence into prioritized roadmap and platform investment recommendations with Product and Engineering leadership

• Own the regional forecast for technical delivery capacity, including partner-led and services-led models where they apply

Who You Are:

• 5+ years leading a customer-facing technical organization, including 2+ years managing managers or team leads

• 12+ years total experience with a hands-on infrastructure, platform, SRE, or solutions engineering foundation

• Demonstrated track record scaling a post-sales or field technical function through a step change in revenue, customer count, or geography — with the coverage, escalation, and SLA model to show for it

• Technical depth sufficient to lead an architecture review: Kubernetes, Helm, containerization, networking, storage, and cloud-managed services

• Production experience with Infrastructure as Code, preferably Terraform, and with IaC standards adopted across a team

• Proficiency across multiple cloud platforms (AWS, GCP, Azure) plus on-prem or self-managed deployment experience

• Strong Linux/Unix command line experience

• Familiarity with ML workflows, MLOps tooling, and how ML platforms are operated in production

• Demonstrated experien